[{"data":1,"prerenderedAt":1119},["ShallowReactive",2],{"blog-articles-for-slug-agents-that-ask-remember-and-show-their-work":3},{"articles":4,"publishedKeys":1118},[5,25,40,58,72,89,104,120,133,152,381,396,414,430,448,465,484,498,514,533,547,560,577,591,603,618,631,646,661,673,686,702,719,737,753,768,785,800,813,825,839,852,868,882,896,909,922,937,952,967,982,996,1011,1025,1042,1059,1076,1090,1105],{"id":6,"title":7,"author":8,"category":9,"date":10,"description":11,"extension":12,"featured":13,"image":14,"meta":15,"metaDescription":16,"metaTitle":17,"navigation":18,"path":19,"seo":20,"stem":21,"tags":22,"__hash__":23,"__readTime":24},"blog\u002Fblog\u002F15-advanced-features-that-turn-your-chatbots-into-gold.md","15 advanced features that turn your chatbots into gold","Len Debets","Product Features","2020-08-20","A chatbot that answers a few FAQs is easy to build. Here are 15 advanced features that move your chatbot from a simple Q&A tool to something your business depends on.","md",false,"\u002Fblog\u002F3327590-300x200.jpg",{},"A chatbot that answers a few FAQs is easy to build. These 15 advanced features turn it into something your business actually depends on.","15 Advanced Chatbot Features Worth Building",true,"\u002Fblog\u002F15-advanced-features-that-turn-your-chatbots-into-gold",{"title":7,"description":11},"blog\u002F15-advanced-features-that-turn-your-chatbots-into-gold",[],"2Ub1RORB7pfLmgONRupxdg1IOzCXXrqje5046hBrjbA","3 min read",{"id":26,"title":27,"author":8,"category":28,"date":29,"description":30,"extension":12,"featured":13,"image":31,"meta":32,"metaDescription":33,"metaTitle":34,"navigation":18,"path":35,"seo":36,"stem":37,"tags":34,"__hash__":38,"__readTime":39},"blog\u002Fblog\u002F9-things-i-hate-about-ai.md","9 Things I Really Hate About AI","AI Technology","2025-05-12","I think it's great that technology is so embedded in our daily lives. It helps us get knowledge faster, finish tasks more efficiently, gives us inspiration, and occasionally scares the hell out of us with those crazy (fake) videos. I help a lot of companies implement AI, so in the end it pays my bills. But after spending a ridiculous amount of time with all these new technologies, it's time to write down the things I really hate about AI.","\u002Fblog\u002F1747039600744.png",{},"I help companies implement AI and it pays my bills. After a ridiculous amount of time with these tools, here are the 9 things I really hate about AI.",null,"\u002Fblog\u002F9-things-i-hate-about-ai",{"title":27,"description":30},"blog\u002F9-things-i-hate-about-ai","x3Pfa3upWCZeJg3PuHjgqCGhd8w1PdeVtVLlYXYmDZk","7 min read",{"id":41,"title":42,"author":8,"category":28,"date":43,"description":44,"extension":12,"featured":13,"image":45,"meta":46,"metaDescription":47,"metaTitle":34,"navigation":18,"path":48,"seo":49,"stem":50,"tags":51,"__hash__":57,"__readTime":39},"blog\u002Fblog\u002Fa-conversation-is-not-a-case.md","A Conversation Is Not a Case","2026-10-06","The 95 percent pilot failure stat is making the rounds again, this time with a diagnosis I actually agree with: chatbots automate sessions, but a bank runs cases. Why the unit of work decides whether your AI survives production, and the day eight test that shows which one you built.","\u002Fblog\u002Fblits-session-vs-case-hero.png",{},"Chatbots automate sessions, but a bank runs cases. Why the unit of work decides whether your AI survives production, and the day eight test.","\u002Fblog\u002Fa-conversation-is-not-a-case",{"title":42,"description":44},"blog\u002Fa-conversation-is-not-a-case",[52,53,54,55,56],"agentic ai","enterprise ai","ai strategy","case management","banking","IJO6dpCGt7jjLgV0FvRqM03LiuYvz779pb3P824edrk",{"id":59,"title":60,"author":8,"category":61,"date":62,"description":63,"extension":12,"featured":13,"image":64,"meta":65,"metaDescription":66,"metaTitle":34,"navigation":18,"path":67,"seo":68,"stem":69,"tags":34,"__hash__":70,"__readTime":71},"blog\u002Fblog\u002Fa-day-in-the-life-of-ai-scale-up.md","A day in the life of an AI scale-up","Company News","2025-02-24","AI moves at breakneck speed, and being the CTO of a fast growing scaleup in it is a great job. It is also not for the faint of heart. We work on large language models (LLMs), chatbots, digital humans and voicebots, and most of our customers are large banks, international companies and professional enterprises.","\u002Fblog\u002F1740065406903.png",{},"What it is like to be CTO of a fast growing AI scaleup that builds LLMs, chatbots, digital humans and voicebots for banks and large enterprises.","\u002Fblog\u002Fa-day-in-the-life-of-ai-scale-up",{"title":60,"description":63},"blog\u002Fa-day-in-the-life-of-ai-scale-up","TiXNFQdXhajzvfAWWOBvKGpeG5WGq1A5v2MXtyvF-w0","5 min read",{"id":73,"title":74,"author":8,"category":28,"date":75,"description":76,"extension":12,"featured":13,"image":77,"meta":78,"metaDescription":34,"metaTitle":79,"navigation":18,"path":80,"seo":81,"stem":82,"tags":83,"__hash__":87,"__readTime":88},"blog\u002Fblog\u002Fagentic-ai-dialects-and-the-voice-quality-gap.md","Agentic AI Languages and Dialects: Why Voice Quality Is Still the Hard Part","2026-04-10","Agentic systems promise autonomous workflows, but speech and dialect quality fail first. Why Arabic, Turkish, Chinese and more run into the same gap.","\u002Fblog\u002Fdialect.jpg",{},"Agentic AI Dialects and the Voice Quality Gap","\u002Fblog\u002Fagentic-ai-dialects-and-the-voice-quality-gap",{"title":74,"description":76},"blog\u002Fagentic-ai-dialects-and-the-voice-quality-gap",[52,84,85,86,53],"speech ai","dialects","multilingual ai","e0ZVAmJonwtrh9SFlhMirDWXgPrHQL-HItCKsC7cOFA","14 min read",{"id":90,"title":91,"author":8,"category":9,"date":92,"description":93,"extension":12,"featured":13,"image":94,"meta":95,"metaDescription":34,"metaTitle":34,"navigation":18,"path":96,"seo":97,"stem":100,"tags":101,"__hash__":102,"__readTime":103},"blog\u002Fblog\u002Fagentic-ai-studio-for-enterprises.md","Introducing the Agentic AI Studio for Enterprises","2026-02-17","Introducing Agentic AI Studio: a platform agnostic, enterprise ready way to design and run autonomous workflows with your own models and data.","\u002Fimages\u002Fblits-agentic-studio.png",{},"\u002Fblog\u002Fagentic-ai-studio-for-enterprises",{"title":98,"description":99},"Introducing the Agentic AI Studio for Enterprise","Self running AI agents are changing how enterprise processes work. We're releasing the Agentic AI Studio for Blits.ai, a platform agnostic, enterprise ready way to design and run autonomous workflows with your own models and data.","blog\u002Fagentic-ai-studio-for-enterprises",[],"Iko_ojcsirkF69bOvZZlrkHTDh-kRPk1Jr-wTgc8-no","9 min read",{"id":105,"title":106,"author":8,"category":28,"date":107,"description":108,"extension":12,"featured":13,"image":109,"meta":110,"metaDescription":111,"metaTitle":112,"navigation":18,"path":113,"seo":114,"stem":115,"tags":116,"__hash__":119,"__readTime":71},"blog\u002Fblog\u002Fagentic-ai-vs-generative-ai.md","Agentic AI vs Generative AI: What Changes When AI Starts Doing the Work","2026-10-23","Generative AI writes. Agentic AI does. That sounds like a small step, but it changes what can go wrong, what you need to govern and how you measure success. The real difference between agentic AI and generative AI, why most agentic projects stall, and what the ones in production have in common.","\u002Fblog\u002Fblits-agentic-vs-generative-hero.png",{},"Agentic AI vs generative AI explained for enterprises: the real difference, why most agentic projects stall, what BNY runs in production and what to govern.","Agentic AI vs Generative AI: What Really Changes","\u002Fblog\u002Fagentic-ai-vs-generative-ai",{"title":106,"description":108},"blog\u002Fagentic-ai-vs-generative-ai",[52,117,53,54,118],"generative ai","ai governance","0m-VgMpeulu0O6n741Xc_JzXzqKjxZfQNWYe0R9Qjow",{"id":121,"title":122,"author":8,"category":28,"date":123,"description":124,"extension":12,"featured":13,"image":125,"meta":126,"metaDescription":34,"metaTitle":127,"navigation":18,"path":128,"seo":129,"stem":130,"tags":131,"__hash__":132,"__readTime":71},"blog\u002Fblog\u002Fagentic-pay-and-the-moment-ai-was-allowed-to-spend-money-by-itself.md","Agentic Pay and the Moment AI Was Allowed to Spend Money","2026-01-11","Why giving AI agents controlled access to payments changes a lot, and why the open question is who designs the rules they spend under.","\u002Fimages\u002Fblits-agentic-pay.jpg",{},"Agentic Pay: When AI Was Allowed to Spend Money","\u002Fblog\u002Fagentic-pay-and-the-moment-ai-was-allowed-to-spend-money-by-itself",{"title":122,"description":124},"blog\u002Fagentic-pay-and-the-moment-ai-was-allowed-to-spend-money-by-itself",[],"njF5BBkPJMdXpGxOH8XGMC0IglTZeDkrA99y3UB_x3c",{"id":134,"title":135,"author":136,"category":28,"date":137,"description":138,"extension":12,"featured":13,"image":139,"meta":140,"metaDescription":141,"metaTitle":142,"navigation":18,"path":143,"seo":144,"stem":145,"tags":146,"__hash__":150,"__readTime":151},"blog\u002Fblog\u002Fagentic-workflows-explained.md","Agentic Workflows Explained, With Real Examples From Banking and Insurance","Coen Doolaard","2026-10-30","An agentic workflow lets AI work through a task in steps: it plans, uses your systems, checks its own work and hands the important decision to a person. A practical explanation for banks and insurers, with the design patterns, real production examples and a checklist before you build.","\u002Fblog\u002Fblits-agentic-workflows-hero.png",{},"What agentic workflows are, how they differ from AI agents, the four design patterns behind them, and what banks and insurers already run in production.","Agentic Workflows Explained: Examples From Banking and Insurance","\u002Fblog\u002Fagentic-workflows-explained",{"title":135,"description":138},"blog\u002Fagentic-workflows-explained",[147,52,56,148,149],"agentic workflows","insurance","ai architecture","BLwbkWwurQLOnl6HiQG1ydDkDBxpul46cip7v8MTUrE","6 min read",{"id":153,"title":154,"author":8,"body":155,"category":9,"date":367,"description":368,"extension":12,"featured":13,"image":369,"meta":370,"metaDescription":371,"metaTitle":372,"navigation":18,"path":373,"seo":374,"stem":375,"tags":376,"__hash__":380},"blog\u002Fblog\u002Fagents-that-ask-remember-and-show-their-work.md","Agents That Ask, Remember and Show Their Work: What's New in Blits.ai",{"type":156,"value":157,"toc":355},"minimark",[158,162,165,168,173,181,197,200,203,210,213,217,220,226,229,232,235,241,245,248,251,257,260,264,267,273,276,279,283,286,289,292,300,304,307,315,319,322,325,328,332,335],[159,160,161],"p",{},"Every bank, insurer and government team I talk to asks the same three questions before an AI agent is allowed to do anything that matters. Who allowed it to do that? What exactly did it do? And if it goes wrong, can we undo it?",[159,163,164],{},"For a long time the usual industry answer was a mix of prompts, good intentions and a log file nobody could read. Release 5.9 of the Blits.ai platform is our answer in product form. Agents can now ask permission before they act, record every decision they make, publish changes only after their tests pass, remember returning customers within limits you set, and work with other companies' agents over an open standard.",[159,166,167],{},"This post walks through what we built over the last weeks. I'll keep it readable for the boardroom, and I'll also show how it works under the hood, because a risk committee will ask.",[169,170,172],"h2",{"id":171},"approval-per-tool-the-agent-asks-before-it-acts","Approval per tool: the agent asks before it acts",[159,174,175,176,180],{},"An AI agent becomes useful when it can do things: issue a refund, change an address, send an email, call a customer back. It also becomes risky at exactly that moment. In my piece on ",[177,178,179],"a",{"href":113},"agentic and generative AI"," I described the difference between a wrong answer and a wrong action. This feature is about the second one.",[159,182,183,184,188,189,192,193,196],{},"You now decide per tool what an agent or workflow may do. Every tool gets one of three permissions: ",[185,186,187],"strong",{},"Automatic",", ",[185,190,191],{},"Requires approval"," or ",[185,194,195],{},"Disabled",". A disabled tool is hidden from the agent completely. An approval can be required always, or only when a condition is met, such as a refund above EUR 250. And you choose who approves: the customer confirms in the conversation, or an employee with the right role approves from a new Approvals inbox.",[198,199],"blog-approval-flow",{},[159,201,202],{},"What matters is where this is enforced. The check does not live in the prompt, where a clever customer or an injected document could argue the model out of it. It sits in the tool loop, outside the model. When the agent calls a tool that needs approval, the exact call is frozen with its arguments. Only an approved record can run, and only with those arguments. If the model leaves out the amount to slip under the threshold, the platform treats the condition as met and asks anyway. A timeout always counts as a rejection: the tool never runs because nobody answered. Workflows pause on an approval and pick up where they stopped once someone decides.",[159,204,205],{},[206,207],"img",{"alt":208,"src":209},"Tool permissions per agent in the Blits.ai platform","\u002Fblog\u002Fblits-v59-tool-permissions-mock.png",[159,211,212],{},"Some tools start with approval switched on, because the cost of a mistake is obvious: sending an email, calling a contact and starting or stopping a calling campaign. For everything else you choose, and you can set new tools to start as \"Requires approval\" by default.",[169,214,216],{"id":215},"the-decision-log-every-turn-explained","The decision log: every turn, explained",[159,218,219],{},"When a regulator or an internal auditor asks why a customer got a certain answer, \"the model decided\" is not an answer. So every turn of every customer conversation now produces a decision log: which intent was recognized, which route and flow step it took, which knowledge was used, which tools ran with which result, which guardrails passed or blocked, which models were called with how many tokens and in which region, and whether there was a handover or an approval.",[159,221,222],{},[206,223],{"alt":224,"src":225},"The decision log next to the transcript in the Blits.ai platform","\u002Fblog\u002Fblits-v59-decision-log-mock.png",[159,227,228],{},"Three design choices make this usable in a regulated environment.",[159,230,231],{},"First, it costs the customer nothing. The log is collected during the turn and written after it, outside the conversation, so it adds no waiting time. Second, it is masked before it is stored, and irreversibly: card numbers, IBANs, one time codes, passwords and tokens never reach the log. It does not store prompts or message text at all; it links to the transcript instead. Third, it goes where your security team already looks. You can export it as JSON Lines or OpenTelemetry, and you can stream every turn live to your own collector or SIEM as OpenTelemetry traces.",[159,233,234],{},"Retention is yours to set, from 30 days to ten years, with 180 days as the default, because the EU AI Act asks deployers of high risk systems to keep logs for at least six months. And if your policy says nothing may be stored with a vendor, you switch storage off and the log only goes to your own collector. A customer who says \"forget me\" takes their log with them.",[236,237,238],"blockquote",{},[159,239,240],{},"If you cannot explain a decision afterwards, you should not let an agent make it in the first place.",[169,242,244],{"id":243},"every-change-is-a-version-and-it-goes-live-after-the-tests-pass","Every change is a version, and it goes live after the tests pass",[159,246,247],{},"Prompts are code now. A single sentence changed in an agent's instructions can change how it treats ten thousand customers by lunchtime. Yet in most companies I see, prompt changes go live the way a Word document gets saved.",[159,249,250],{},"Every published change to an agent is now a numbered version. You can see what changed, chat with an older version without publishing it, and bring one back with a single click and a written reason. For teams that want more control there is a second mode, which we call publishing after the tests pass. Changes go to a draft, the draft runs your QA test suite, and only when it passes can it go live.",[159,252,253],{},[206,254],{"alt":255,"src":256},"Publishing an agent change after the tests pass","\u002Fblog\u002Fblits-v59-publishing-mock.png",[159,258,259],{},"The detail I like most: a test run only counts for the exact draft it ran on. Change one word after the tests pass and the result is stale, so you test again. Restoring an older version deliberately skips the tests, because during an incident you want the last good version back now, not after a test run. A tenant admin can publish without passing tests, but only with a written reason, and the version carries a visible mark in the history. API keys and identity settings are never part of a version, so a rollback can never bring back an old key.",[169,261,263],{"id":262},"memory-it-remembers-returning-customers-within-limits","Memory: it remembers returning customers, within limits",[159,265,266],{},"Customers hate repeating themselves. Agents that forget everything the moment a conversation ends make them do exactly that. So agents can now remember lasting facts and preferences per customer across conversations: prefers email over phone, wants answers in Dutch, is moving house in December. They can also follow a goal over several sessions, such as saving towards a car.",[159,268,269],{},[206,270],{"alt":271,"src":272},"Long term memory per customer in the Blits.ai platform","\u002Fblog\u002Fblits-v59-memory-mock.png",[159,274,275],{},"Memory is also the feature where it is easiest to get privacy wrong, so most of the engineering went into what is not kept. Memories are extracted after a conversation ends, never during it, so customers don't wait for it. The customer's own words are never stored, only a short extracted sentence. Every memory, whether it comes from the extractor, an agent or an admin, passes one policy filter. Card numbers, bank account numbers, passwords, PINs and one time codes are always refused, and so are health, religion, ethnicity and the other special categories, along with anything that was masked or blocked by a guardrail. By default, contact details and opinions about staff are not kept either.",[159,277,278],{},"Retention defaults to a year from the last time a memory was confirmed, with at most 50 memories per customer. Your team can see, correct and delete what an agent remembers, and \"forget me\" erases memories and goals. Workflows got their own small version of this: a notebook that keeps track of where the last run stopped, such as the last invoice processed.",[169,280,282],{"id":281},"a2a-your-agents-can-work-with-other-companies-agents","A2A: your agents can work with other companies' agents",[159,284,285],{},"More and more of the work an agent does involves another company. A bank agent that needs a broker's quote, a telco agent that books an installer, a travel agent that checks a partner's availability. Until now, every one of those connections was a custom integration.",[159,287,288],{},"A2A (Agent2Agent) is an open protocol for exactly this, and Blits.ai now supports it in both directions. You can publish an agent or a workflow, and any A2A compatible platform can discover it through its Agent Card, hand it a task and get the result back. And your own agents can call external A2A agents as if they were tools.",[290,291],"blog-a2a-flow",{},[159,293,294,295,299],{},"A published agent behaves like itself: it runs with its own guardrails, and when it needs one more detail it asks for it instead of guessing. Long running workflows report progress and push the result when they are done. Each published agent gets its own API key, shown once and stored only as a hash, with a rate limit per agent and an option to accept tasks only for a verified end user. On the way out, calls to external agents pass our network safeguards, and what comes back is cleaned and capped before your agent reads it. External agents also fall under the approval rules from the first section, so an outside agent cannot do anything your policy wouldn't allow your own agent to do. The technical details are on our ",[177,296,298],{"href":297},"\u002Fintegration-standards","integration standards"," page.",[169,301,303],{"id":302},"you-decide-which-ai-providers-ever-see-your-data","You decide which AI providers ever see your data",[159,305,306],{},"Being model agnostic is one of the things our customers value most: we connect to more than 300 models. For a regulated customer, though, a long list of models also raises a question. Which of those companies could, in some fallback scenario, receive our data?",[159,308,309,310,314],{},"A tenant admin can now limit that list per category: language models, embeddings, speech to text and text to speech. A blocked provider is never called, and nothing is redirected to another provider; the feature that needs it simply stops, and the decision log records why. Providers we add in the future are blocked too until you allow them. Before you save, the screen shows which agents and knowledge bases would be affected, so nobody switches off production by accident. This works hand in hand with the ",[177,311,313],{"href":312},"\u002Fblog\u002Fusing-cloud-ai-without-sending-personal-data-abroad","privacy shield",", which keeps personal data inside your perimeter even when a cloud model does the thinking.",[169,316,318],{"id":317},"smaller-things-that-make-a-big-difference","Smaller things that make a big difference",[159,320,321],{},"A few changes that won't make headlines but that customers asked for repeatedly.",[159,323,324],{},"Outbound calling campaigns and agentic workflows now work together in both directions. A campaign can start a workflow after a completed call, when a contact can't be reached, after an escalation or when the campaign ends. A workflow can add contacts, call someone, start or pause a campaign and read the results. Workflows can also send email, with approval switched on by default for both emailing and calling.",[159,326,327],{},"Voice can now be switched off per agent, separately for speech input and spoken answers, for teams that want a text only assistant without a microphone button in any channel. And when a customer switches language halfway through, the agent can now keep the conversation and its history instead of starting over.",[169,329,331],{"id":330},"why-this-release-matters","Why this release matters",[159,333,334],{},"A new model makes an agent a bit more fluent. These features make it governable, and in my experience that decides whether an agent stays in a pilot or gets real work. What a bank wants from an agent is that it asks before it pays out, explains itself afterwards and can be rolled back in a minute.",[159,336,337,338,342,343,347,348,354],{},"Everything in this post is part of release 5.9. You can read how agents work on the platform on ",[177,339,341],{"href":340},"\u002Fhow-agents-work","how agents work",", and the full list of changes is in our ",[177,344,346],{"href":345},"\u002Frelease-notes","release notes",". If you'd like to see approvals, the decision log and memory on one of your own use cases, ",[177,349,353],{"href":350,"rel":351},"https:\u002F\u002Fwww.blits.ai\u002Fcontact-us",[352],"noopener","book a session with me",". I'll bring the log.",{"title":356,"searchDepth":357,"depth":357,"links":358},"",2,[359,360,361,362,363,364,365,366],{"id":171,"depth":357,"text":172},{"id":215,"depth":357,"text":216},{"id":243,"depth":357,"text":244},{"id":262,"depth":357,"text":263},{"id":281,"depth":357,"text":282},{"id":302,"depth":357,"text":303},{"id":317,"depth":357,"text":318},{"id":330,"depth":357,"text":331},"2026-10-22","Release 5.9 is about one thing: giving AI agents real work without losing control of it. Agents now ask for approval before risky actions, record every decision, publish only after their tests pass, remember returning customers within strict limits and work with other companies' agents over the open A2A protocol. What each feature does, and how it works under the hood.","\u002Fblog\u002Fblits-v59-features-hero.png",{},"Blits.ai release 5.9: approval per tool, a decision log per conversation, tested publishing, memory per customer, the A2A protocol and provider control.","What's New in Blits.ai: Agents That Ask and Show Their Work","\u002Fblog\u002Fagents-that-ask-remember-and-show-their-work",{"title":154,"description":368},"blog\u002Fagents-that-ask-remember-and-show-their-work",[377,52,118,378,379],"product update","human in the loop","a2a","KG_IqJdr5mhRh9ZUxFQ9BrDqSPlcQipq0nQm0zBAGE8",{"id":382,"title":383,"author":8,"category":28,"date":384,"description":385,"extension":12,"featured":13,"image":386,"meta":387,"metaDescription":388,"metaTitle":383,"navigation":18,"path":389,"seo":390,"stem":391,"tags":392,"__hash__":395,"__readTime":71},"blog\u002Fblog\u002Fai-agency-or-ai-platform.md","AI Agency or AI Platform? How Enterprises Should Choose","2026-11-10","Hire an AI agency, buy a SaaS tool, build it yourself, or work with a platform? Every enterprise faces that choice, and the data is starting to show which path reaches production. Why custom built AI so often gets abandoned, and the questions that tell you whether you're buying a project or a capability.","\u002Fblog\u002Fblits-ai-agency-vs-platform-hero.png",{},"Should you hire an AI agency, buy software or build in house? What the data says about build vs buy, why custom AI gets abandoned, and the questions to ask.","\u002Fblog\u002Fai-agency-or-ai-platform",{"title":383,"description":385},"blog\u002Fai-agency-or-ai-platform",[393,53,394,54,52],"ai agency","build vs buy","3kzZhIokvhURrrQMls8Wry1YOEDElpvbqqdDBOP_BpM",{"id":397,"title":398,"author":136,"category":28,"date":399,"description":400,"extension":12,"featured":13,"image":401,"meta":402,"metaDescription":403,"metaTitle":398,"navigation":18,"path":404,"seo":405,"stem":406,"tags":407,"__hash__":412,"__readTime":413},"blog\u002Fblog\u002Fai-call-center-voice-agents-answer-first.md","AI Call Center: What Changes When Voice Agents Answer First","2026-11-17","An AI call center is not a call center without people. It is one where a voice agent answers first, AI supports the people who handle the harder calls, and every conversation feeds quality. What changes on the floor, what the public record shows, and where the first projects went wrong.","\u002Fblog\u002Fblits-ai-call-center-hero.png",{},"What an AI call center looks like in 2026: voice agents on the first line, AI assist for human agents, every call reviewed, and the mistakes to avoid.","\u002Fblog\u002Fai-call-center-voice-agents-answer-first",{"title":398,"description":400},"blog\u002Fai-call-center-voice-agents-answer-first",[408,409,410,411,56],"ai call center","voice agents","contact center","customer experience","O_O6PWPvMGjX-Ftz9owvzBTO61x4KtOuiRNEk4-Sw_U","8 min read",{"id":415,"title":416,"author":136,"category":28,"date":417,"description":418,"extension":12,"featured":13,"image":419,"meta":420,"metaDescription":421,"metaTitle":422,"navigation":18,"path":423,"seo":424,"stem":425,"tags":426,"__hash__":429,"__readTime":151},"blog\u002Fblog\u002Fai-customer-service-what-actually-works.md","AI Customer Service in 2026: What Actually Works, and What the Benchmarks Hide","2026-10-27","AI customer service works, but not in the way most dashboards suggest. Public deployments show a median containment rate of two thirds, yet contacts drop by only a fifth. What separates the projects that deliver from the ones that quietly get reversed, and what to ask before you buy.","\u002Fblog\u002Fblits-ai-customer-service-hero.png",{},"What AI customer service really delivers in 2026: public benchmarks, the reversals at Klarna and CBA, and what to ask before you buy AI customer service software.","AI Customer Service in 2026: What Actually Works","\u002Fblog\u002Fai-customer-service-what-actually-works",{"title":416,"description":418},"blog\u002Fai-customer-service-what-actually-works",[427,411,410,428,56],"ai customer service","conversational ai","MTic7KjEg4zMr-2JCJeEX9masmR3GM0ZsGw8b4NhwsE",{"id":431,"title":432,"author":136,"category":28,"date":433,"description":434,"extension":12,"featured":13,"image":435,"meta":436,"metaDescription":437,"metaTitle":438,"navigation":18,"path":439,"seo":440,"stem":441,"tags":442,"__hash__":447,"__readTime":71},"blog\u002Fblog\u002Fai-in-insurance-use-cases-in-production.md","AI in Insurance: The Use Cases Already Running in Production","2026-11-03","AI in insurance is no longer an experiment. Of 117 public insurance deployments we track, 103 run in production or at scale. Where insurers use AI today, what the leaders report, what regulators expect, and why most of the industry is still stuck at the pilot stage.","\u002Fblog\u002Fblits-ai-insurance-hero.png",{},"Where insurers already run AI in production: claims, fraud, underwriting and customer service, with results from Allianz, Zurich, Ping An, Lemonade and Aviva.","AI in Insurance: Use Cases Already in Production","\u002Fblog\u002Fai-in-insurance-use-cases-in-production",{"title":432,"description":434},"blog\u002Fai-in-insurance-use-cases-in-production",[443,444,445,52,446],"ai insurance","claims automation","underwriting","customer service","7l-cJ6cSc8Ox8EmQ6T0Q2DdDPy6FW5cLHrD5gx4zvq0",{"id":449,"title":450,"author":8,"category":28,"date":451,"description":452,"extension":12,"featured":13,"image":453,"meta":454,"metaDescription":34,"metaTitle":455,"navigation":18,"path":456,"seo":457,"stem":458,"tags":459,"__hash__":463,"__readTime":464},"blog\u002Fblog\u002Fai-spending-delegation-policies-without-losing-control.md","You Already Know How to Delegate Spending. Now Write the Mandate for an Agent.","2026-03-31","You already delegate spending with cards, POs and dual sign off. An AI agent is a new delegate. How to write its mandate, and where the analogy breaks.","\u002Fimages\u002Fblog-ai-policies.png",{},"Writing the Spending Mandate for an AI Agent","\u002Fblog\u002Fai-spending-delegation-policies-without-losing-control",{"title":450,"description":452},"blog\u002Fai-spending-delegation-policies-without-losing-control",[460,118,53,461,462],"agentic payments","delegation","payments","3UinRxWgwEV2xzGlI2-7RNVqr-WksZKCQs46SjskL6E","11 min read",{"id":466,"title":467,"author":468,"category":28,"date":469,"description":470,"extension":12,"featured":13,"image":471,"meta":472,"metaDescription":473,"metaTitle":474,"navigation":18,"path":475,"seo":476,"stem":477,"tags":478,"__hash__":483,"__readTime":151},"blog\u002Fblog\u002Fai-voice-agents-for-enterprises.md","AI Voice Agents for Enterprises: Latency, Dialects and Compliance","Yuri Ihnatov","2026-11-06","An AI voice agent can answer every call at once, in many languages, at any hour. Whether customers accept it comes down to three things that rarely show up in a demo: how fast it answers, whether it understands the way they actually speak, and whether it follows the rules for disclosure, consent and authentication.","\u002Fblog\u002Fblits-ai-voice-agents-hero.png",{},"What enterprises need from an AI voice agent: response times people accept, speech recognition that works for every dialect, and the rules on disclosure and fraud.","AI Voice Agents for Enterprises: Latency, Dialects, Compliance","\u002Fblog\u002Fai-voice-agents-for-enterprises",{"title":467,"description":470},"blog\u002Fai-voice-agents-for-enterprises",[479,480,410,481,482],"ai voice agents","voice ai","speech recognition","compliance","d_UKYWERVh6gaVcc2b1uSw1fBPQO39q6odNaVlq-jC8",{"id":485,"title":486,"author":487,"category":488,"date":489,"description":490,"extension":12,"featured":13,"image":491,"meta":492,"metaDescription":34,"metaTitle":34,"navigation":18,"path":493,"seo":494,"stem":495,"tags":34,"__hash__":496,"__readTime":497},"blog\u002Fblog\u002Fbenchmarking-conversational-ai-whitepaper.md","Benchmarking Conversational AI: Whitepaper","Paul Coerkamp","Research","2022-08-25","Our research into conversational AI performance shows clear gains in chatbot effectiveness across several industries and use cases.","\u002Fblog\u002FCover-Benchmarking-Conversational-AI-Whitepaper.jpg",{},"\u002Fblog\u002Fbenchmarking-conversational-ai-whitepaper",{"title":486,"description":490},"blog\u002Fbenchmarking-conversational-ai-whitepaper","nfDZr9Jn-Owi4BXRnkyz9owwZBZPJNEZp01hok5_J-Y","2 min read",{"id":499,"title":500,"author":487,"category":28,"date":501,"description":502,"extension":12,"featured":13,"image":503,"meta":504,"metaDescription":34,"metaTitle":505,"navigation":18,"path":506,"seo":507,"stem":508,"tags":509,"__hash__":513,"__readTime":464},"blog\u002Fblog\u002Fbenchmarking-tts-for-customers-beyond-mos-and-demos.md","How to Score a TTS Bake-Off When the Demo Is Lying to You","2026-04-08","MOS has saturated and demos are hand tuned. The lab protocol we use to grade TTS on latency, jitter, entity accuracy, barge in and cloning risk.","\u002Fimages\u002Fblog-benchmark.png",{},"Benchmarking TTS Beyond MOS and Demos","\u002Fblog\u002Fbenchmarking-tts-for-customers-beyond-mos-and-demos",{"title":500,"description":502},"blog\u002Fbenchmarking-tts-for-customers-beyond-mos-and-demos",[510,480,511,512,409],"tts","benchmarking","ai evaluation","DqEdE-KfCVokeZ_dDpJUjEgDp0i4PzcbAYQtN1PjJJA",{"id":515,"title":516,"author":8,"category":517,"date":518,"description":519,"extension":12,"featured":13,"image":520,"meta":521,"metaDescription":522,"metaTitle":523,"navigation":18,"path":524,"seo":525,"stem":526,"tags":527,"__hash__":532,"__readTime":151},"blog\u002Fblog\u002Fblits-ai-bug-hunt-game-2026-results.md","What We Learned from Turning Bug Hunting into a Game at Blits.ai","Product & Culture","2026-01-08","In the first week of January we turned quality assurance into a Bug Hunt Game. This is what happened when we put Hunters, Fixers and a Judge on a shared leaderboard powered by Azure DevOps.","\u002Fimages\u002Fblits-bounty-bug-game.png",{},"In January we turned quality assurance into a Bug Hunt Game, with Hunters, Fixers and a Judge on one Azure DevOps leaderboard. Here is what we learned.","Bug Hunting as a Game: What We Learned","\u002Fblog\u002Fblits-ai-bug-hunt-game-2026-results",{"title":516,"description":519},"blog\u002Fblits-ai-bug-hunt-game-2026-results",[528,529,530,531],"quality","devops","culture","experimentation","mWTOkdFZW8DPX4ik3aCDl_en1vapZ9YS-nCMmu1FFQU",{"id":534,"title":535,"author":487,"category":61,"date":536,"description":537,"extension":12,"featured":13,"image":538,"meta":539,"metaDescription":34,"metaTitle":540,"navigation":13,"path":541,"seo":542,"stem":543,"tags":544,"__hash__":545,"__readTime":546},"blog\u002Fblog\u002Fblits-ai-joins-llms4eu-project.md","Blits.ai joins the EU-funded LLMs4EU project","2026-01-05","Blits.ai joins LLMs4EU. Who builds large language models, on what data, and under which European values and regulations, and why that matters now.","\u002Fblog\u002Fllms4eu-blog-image.png",{},"LLMs4EU: Blits.ai Joins the European LLM Effort","\u002Fblog\u002Fblits-ai-joins-llms4eu-project",{"title":535,"description":537},"blog\u002Fblits-ai-joins-llms4eu-project",[],"M97zWsJIDe49eUcICylhQBw6aT5EKnTNuNWbZw178Pc","4 min read",{"id":548,"title":549,"author":8,"category":28,"date":550,"description":551,"extension":12,"featured":13,"image":552,"meta":553,"metaDescription":554,"metaTitle":555,"navigation":18,"path":556,"seo":557,"stem":558,"tags":34,"__hash__":559,"__readTime":71},"blog\u002Fblog\u002Fbusiness-predictions-chatgpt.md","Business predictions based on my years of experience with ChatGPT and its predecessors","2023-02-20","Over 5 years ago I started a chatbot (ad)venture called Blits.ai. My reason was simple: I believed the way we humans deal with data would turn into a conversation. Now that ChatGPT (generative AI) is all over the news and every LinkedIn feed, more and more people are reaching the same conclusion. Great! We're clearly not there yet, though.","\u002Fblog\u002F1675857460197.jpeg",{},"Five years after starting Blits.ai, my business predictions for ChatGPT and generative AI: where conversations with data are heading, and what is missing.","ChatGPT and Business: My Predictions","\u002Fblog\u002Fbusiness-predictions-chatgpt",{"title":549,"description":551},"blog\u002Fbusiness-predictions-chatgpt","26eZfqYo1gr5l1hXYbn1uJPqnvLUXu4T4vCAb5Gy39c",{"id":561,"title":562,"author":468,"category":28,"date":563,"description":564,"extension":12,"featured":13,"image":565,"meta":566,"metaDescription":567,"metaTitle":568,"navigation":18,"path":569,"seo":570,"stem":571,"tags":572,"__hash__":575,"__readTime":576},"blog\u002Fblog\u002Fconversational-ai-design-why-bad-bots-are-a-design-problem.md","Conversational AI Design: Why Bad Bots Are a Design Problem, Not a Model Problem","2026-10-21","Most chatbots that frustrate people run on perfectly capable models. What fails is the design: unclear goals, no boundaries, fallbacks that go nowhere and handoffs that lose the context. A practical guide in questions and answers, from the team that builds and tests these systems every day.","\u002Fblog\u002Fblits-conversation-design-hero.png",{},"A practical guide to conversational AI design: user goals, decision boundaries, fallback and human handoff, opening messages, tone, voice and measuring quality.","Conversational AI Design: A Practical Guide","\u002Fblog\u002Fconversational-ai-design-why-bad-bots-are-a-design-problem",{"title":562,"description":564},"blog\u002Fconversational-ai-design-why-bad-bots-are-a-design-problem",[428,573,574,480,411],"conversation design","chatbot ux","80xT4JDMkcCexuKiC7QG6RvgmV58yMZYsNutW_u-wiU","10 min read",{"id":578,"title":579,"author":487,"category":28,"date":580,"description":581,"extension":12,"featured":13,"image":582,"meta":583,"metaDescription":34,"metaTitle":584,"navigation":18,"path":585,"seo":586,"stem":587,"tags":588,"__hash__":590,"__readTime":546},"blog\u002Fblog\u002Feu-ai-act-2026-enterprise-readiness-checklist.md","EU AI Act 2026: The Enterprise AI Readiness Checklist Before August","2026-03-11","Most teams treat EU AI Act compliance as a legal side project. A checklist of what enterprises should implement now to avoid disruption and rework.","\u002Fimages\u002Fblog-eu-ai-act.png",{},"EU AI Act 2026: Enterprise Readiness Checklist","\u002Fblog\u002Feu-ai-act-2026-enterprise-readiness-checklist",{"title":579,"description":581},"blog\u002Feu-ai-act-2026-enterprise-readiness-checklist",[589,53,118,482],"eu ai act","rluJvoZAzD04WieClVwCsoj6r18ndtcHInhwIzsy0v4",{"id":592,"title":593,"author":8,"category":28,"date":594,"description":595,"extension":12,"featured":13,"image":596,"meta":597,"metaDescription":34,"metaTitle":598,"navigation":18,"path":599,"seo":600,"stem":601,"tags":34,"__hash__":602,"__readTime":413},"blog\u002Fblog\u002Ffeeding-llms-without-leaking-secrets.md","Feeding LLMs Without Leaking Secrets: A Guide for Companies On How To Add Your Company Data","2025-05-19","A plain guide for business teams on how to add your company data to an LLM safely, without leaking secrets, and the concepts behind it.","\u002Fblog\u002F1747588091563.png",{},"Feeding LLMs Without Leaking Company Secrets","\u002Fblog\u002Ffeeding-llms-without-leaking-secrets",{"title":593,"description":595},"blog\u002Ffeeding-llms-without-leaking-secrets","8IxE-B9QPvTgygMq-My29zKji23d5TeHn16xmfgIgYY",{"id":604,"title":605,"author":468,"category":606,"date":607,"description":608,"extension":12,"featured":13,"image":609,"meta":610,"metaDescription":34,"metaTitle":611,"navigation":18,"path":612,"seo":613,"stem":614,"tags":615,"__hash__":617,"__readTime":464},"blog\u002Fblog\u002Ffrom-johannesburg-five-signals-agentic-ai-enterprise-banking.md","From Johannesburg: Five Signals on Where Agentic AI Meets Enterprise Banking","Events","2026-07-15","Five takeaways from Mastercard's summit in Johannesburg: the technology is no longer the bottleneck, governance, trust and context are.","\u002Fblog\u002Ffive-signals-mastercard.png",{},"Five Signals on Agentic AI in Enterprise Banking","\u002Fblog\u002Ffrom-johannesburg-five-signals-agentic-ai-enterprise-banking",{"title":605,"description":608},"blog\u002Ffrom-johannesburg-five-signals-agentic-ai-enterprise-banking",[52,616,428,460,512],"enterprise banking","b_mlFIOndF2DPQRqZDiXZNvaVGRyPPI3P5jsTOTRhQY",{"id":619,"title":620,"author":136,"category":606,"date":621,"description":622,"extension":12,"featured":18,"image":623,"meta":624,"metaDescription":34,"metaTitle":625,"navigation":18,"path":626,"seo":627,"stem":628,"tags":629,"__hash__":630,"__readTime":151},"blog\u002Fblog\u002Ffrom-paris-to-rio-signals-and-where-enterprise-ai-is-heading.md","From Paris to Rio: Production Over Pilots, Substance Over Spectacle","2026-07-10","Signals from VivaTech and Web Summit Rio: production over pilots, substance over spectacle, and why your operating framework beats any one model.","\u002Fblog\u002Ffrom-paris-to-rio.png",{},"From Paris to Rio: Where Enterprise AI Is Heading","\u002Fblog\u002Ffrom-paris-to-rio-signals-and-where-enterprise-ai-is-heading",{"title":620,"description":622},"blog\u002Ffrom-paris-to-rio-signals-and-where-enterprise-ai-is-heading",[53,52,428,54,118],"6DzNE9FCbGcnNxwm9Du9-SwxJ5yh585XO0lPY3tLxng",{"id":632,"title":633,"author":487,"category":28,"date":634,"description":635,"extension":12,"featured":13,"image":636,"meta":637,"metaDescription":34,"metaTitle":638,"navigation":18,"path":639,"seo":640,"stem":641,"tags":642,"__hash__":645,"__readTime":576},"blog\u002Fblog\u002Ffrom-single-agent-to-multi-agent-systems-when-to-split-roles.md","Most Multi Agent Systems Are a Solution Looking for a Problem","2026-03-19","Start with one agent, and reach for multi agent only for parallel, read heavy work. The case against splitting too early, and how to do it right.","\u002Fimages\u002Fblog-multi-agent.png",{},"When to Split Into Multi Agent Systems","\u002Fblog\u002Ffrom-single-agent-to-multi-agent-systems-when-to-split-roles",{"title":633,"description":635},"blog\u002Ffrom-single-agent-to-multi-agent-systems-when-to-split-roles",[52,643,53,149,644],"multi agent systems","llm","jh1LuV8_t23zMxcRv4qwpkRBlmGeW4eHuFvagOyENQM",{"id":647,"title":648,"author":8,"category":9,"date":649,"description":650,"extension":12,"featured":13,"image":651,"meta":652,"metaDescription":34,"metaTitle":653,"navigation":18,"path":654,"seo":655,"stem":658,"tags":659,"__hash__":660,"__readTime":71},"blog\u002Fblog\u002Ffrom-talking-to-doing-six-months-of-blits-ai-updates.md","Blits.ai Platform Update: Five Big Additions from the Last Six Months","2026-07-20","A plain roundup of five things we shipped this year: emotional voice, interactive cards, agentic tasks, in chat payments and response feedback.","\u002Fblog\u002Fblits-login-screen.png",{},"Blits.ai Platform Update: Six Months of Additions","\u002Fblog\u002Ffrom-talking-to-doing-six-months-of-blits-ai-updates",{"title":656,"description":657},"Product Update: Five Big Additions from the Last Six Months","A plain language roundup of the five biggest things we shipped this year (emotional voice, rich interactive cards, agentic tasks, in chat payments and response feedback) and what each one does for the person on the other end of the conversation.","blog\u002Ffrom-talking-to-doing-six-months-of-blits-ai-updates",[377,52,428,480,460],"yojUU4dXMnn1LM4XJdH8rXr-2_-CI5k9oYKfDLjNOwo",{"id":662,"title":663,"author":487,"category":28,"date":664,"description":665,"extension":12,"featured":13,"image":666,"meta":667,"metaDescription":34,"metaTitle":668,"navigation":18,"path":669,"seo":670,"stem":671,"tags":34,"__hash__":672,"__readTime":497},"blog\u002Fblog\u002Fgpt-4-in-chatbots.md","GPT-4 in Chatbots: Blits.ai Breaks New Ground in Conversational AI","2023-07-14","Blits.ai now supports GPT-4, bringing new capabilities to chatbot development and deployment. What it means for conversational AI.","\u002Fblog\u002Fgpt-4.webp",{},"GPT-4 Chatbots: New Ground in Conversational AI","\u002Fblog\u002Fgpt-4-in-chatbots",{"title":663,"description":665},"blog\u002Fgpt-4-in-chatbots","G00HNe_XJ2lwAPzMes8evMiwWORzWzdgIFCzLrsptWU",{"id":674,"title":675,"author":487,"category":28,"date":676,"description":677,"extension":12,"featured":13,"image":678,"meta":679,"metaDescription":680,"metaTitle":681,"navigation":18,"path":682,"seo":683,"stem":684,"tags":34,"__hash__":685,"__readTime":497},"blog\u002Fblog\u002Fhow-practical-is-gpt-3-for-conversational-ai-chatbots.md","How practical is GPT-3 for Conversational AI chatbots?","2022-01-25","GPT-3 has changed what people expect from conversational AI. Ask it almost anything and you get a fluent, often surprisingly good answer. Whether that makes it practical for a chatbot or voicebot that talks to your customers is a different question, and that is what this article is about.","\u002Fblog\u002FGPT-3.jpg",{},"GPT-3 gives fluent, often surprisingly good answers. Whether that makes it practical for a chatbot that talks to your customers is another question.","How Practical Is GPT-3 for Chatbots?","\u002Fblog\u002Fhow-practical-is-gpt-3-for-conversational-ai-chatbots",{"title":675,"description":677},"blog\u002Fhow-practical-is-gpt-3-for-conversational-ai-chatbots","5bcufuhpdudmHxSJDIeisrRbO9tOk1zdavIsJZcNhBY",{"id":687,"title":688,"author":8,"category":28,"date":689,"description":690,"extension":12,"featured":13,"image":691,"meta":692,"metaDescription":693,"metaTitle":694,"navigation":18,"path":695,"seo":696,"stem":697,"tags":698,"__hash__":701,"__readTime":464},"blog\u002Fblog\u002Fhow-to-build-an-ai-control-tower-for-agentic-operations.md","The AI Control Tower: Air Traffic Control for Agents in Production","2026-03-23","A dashboard tells you the plane landed. A control tower keeps two aircraft off the same runway in real time, with the authority to divert one. What that distinction means for running AI agents in production, and why an HTTP 200 will lie to you.","\u002Fimages\u002Fblog-control-tower.png",{},"A dashboard tells you the plane landed. A control tower keeps two aircraft off one runway. What that means for running AI agents in production.","How to Build an AI Control Tower for Agents","\u002Fblog\u002Fhow-to-build-an-ai-control-tower-for-agentic-operations",{"title":688,"description":690},"blog\u002Fhow-to-build-an-ai-control-tower-for-agentic-operations",[699,52,118,700,53],"ai observability","guardrails","tekVT7bbrPjtuBBrGEuTtVN495S40tyKTdMJ6WTqSmQ",{"id":703,"title":704,"author":487,"category":9,"date":705,"description":706,"extension":12,"featured":13,"image":707,"meta":708,"metaDescription":709,"metaTitle":710,"navigation":18,"path":711,"seo":712,"stem":713,"tags":714,"__hash__":718,"__readTime":39},"blog\u002Fblog\u002Fintroducing-blits-ai-financial-wellbeing.md","Introducing Blits.ai Financial Wellbeing: Guidance, Never Financial Advice","2026-08-29","Our newest product turns a bank's own transaction data into a wellbeing score, plain language insight and gentle nudges toward healthier money habits. It runs inside the bank, it measures its own impact, and it will never give financial advice. Here is how it works.","\u002Fblog\u002Fblits-fw-dashboard.png",{},"Our newest product turns a bank's transaction data into a wellbeing score, plain language insight and gentle nudges. It runs inside the bank, never as advice.","Blits.ai Financial Wellbeing: Guidance, Not Advice","\u002Fblog\u002Fintroducing-blits-ai-financial-wellbeing",{"title":704,"description":706},"blog\u002Fintroducing-blits-ai-financial-wellbeing",[715,616,700,716,717],"financial wellbeing","product","nudges","fr19gXuC3QnydGpIKcJpc9c9ZjA6F-HESxQnaqK8dfY",{"id":720,"title":721,"author":468,"category":28,"date":722,"description":723,"extension":12,"featured":13,"image":724,"meta":725,"metaDescription":726,"metaTitle":727,"navigation":18,"path":728,"seo":729,"stem":730,"tags":731,"__hash__":736,"__readTime":39},"blog\u002Fblog\u002Fknowledge-graphs-vs-vector-search.md","Knowledge Graphs vs Vector Search: What Enterprise AI Actually Needs","2026-11-24","Vector search finds passages that mean the same thing. A knowledge graph knows how things are connected. Most enterprise AI needs the first, some needs the second, and a surprising number of questions need neither. A practical guide to choosing, from someone who builds both.","\u002Fblog\u002Fblits-knowledge-graph-hero.png",{},"Knowledge graph or vector search? What each one is good at, where each breaks, and how to decide which questions your enterprise AI needs to answer.","Knowledge Graphs vs Vector Search for Enterprise AI","\u002Fblog\u002Fknowledge-graphs-vs-vector-search",{"title":721,"description":723},"blog\u002Fknowledge-graphs-vs-vector-search",[732,733,734,735,53],"knowledge graph","vector search","rag","retrieval","IPa50HdvBjLxCAI5Q_SAlhu7UaoQewgBoWLBooU0CkQ",{"id":738,"title":739,"author":487,"category":28,"date":740,"description":741,"extension":12,"featured":13,"image":742,"meta":743,"metaDescription":34,"metaTitle":744,"navigation":18,"path":745,"seo":746,"stem":747,"tags":748,"__hash__":752,"__readTime":464},"blog\u002Fblog\u002Fmcp-security-in-production-auth-and-least-privilege.md","MCP Security: The Threat Model Changes the Day After You Ship","2026-03-15","Most MCP breaches needed no exploit code; the servers behaved as specified. What goes wrong in production, and why the new OAuth spec is half a fix.","\u002Fimages\u002Fblog-mcp-security.png",{},"MCP Security in Production: Auth and Privilege","\u002Fblog\u002Fmcp-security-in-production-auth-and-least-privilege",{"title":739,"description":741},"blog\u002Fmcp-security-in-production-auth-and-least-privilege",[749,750,751,53,52],"mcp","ai security","prompt injection","Hz41mPrcsT9FC-R_MkrwnwIFerSFFo6bu9tJw9xeKTA",{"id":754,"title":755,"author":8,"category":28,"date":756,"description":757,"extension":12,"featured":13,"image":758,"meta":759,"metaDescription":34,"metaTitle":760,"navigation":18,"path":761,"seo":762,"stem":763,"tags":764,"__hash__":767,"__readTime":546},"blog\u002Fblog\u002Fmcp-servers-and-tools.md","MCP Servers and Tools: How LLMs Connect to the Real World","2026-01-27","MCP servers standardize how LLMs find and use tools. What they are, why they matter, how we use them at Blits.ai, and where this is going next.","\u002Fimages\u002Fmcp-server-header.webp",{},"MCP Servers and Tools: How LLMs Reach the World","\u002Fblog\u002Fmcp-servers-and-tools",{"title":755,"description":757},"blog\u002Fmcp-servers-and-tools",[644,765,749,766],"tools","agents","H-rIH_hhI4AEIuhMm5XBRn8GqeNa7Ie_6MmiMlzHllw",{"id":769,"title":770,"author":487,"category":606,"date":771,"description":772,"extension":12,"featured":13,"image":773,"meta":774,"metaDescription":775,"metaTitle":776,"navigation":18,"path":777,"seo":778,"stem":779,"tags":780,"__hash__":784,"__readTime":71},"blog\u002Fblog\u002Fmeasurable-beats-impressive-blits-ai-at-ai-everything-abu-dhabi.md","Measurable Beats Impressive: 75 Conversations at Ai Everything Abu Dhabi","2026-10-15","Len, Coen and I spent two days on our stand at Ai Everything Abu Dhabi and had more than 75 conversations with banks, government entities, telcos, investors and fellow founders. Five themes kept coming back, and together they point one way: from impressive demos to measurable results in production.","\u002Fblog\u002Fblits-ai-everything-abu-dhabi-recap-hero.png",{},"What more than 75 conversations at Ai Everything Abu Dhabi taught us about enterprise AI in the Gulf: production, sovereignty, agents, language and trust.","75 Conversations at Ai Everything Abu Dhabi 2026","\u002Fblog\u002Fmeasurable-beats-impressive-blits-ai-at-ai-everything-abu-dhabi",{"title":770,"description":772},"blog\u002Fmeasurable-beats-impressive-blits-ai-at-ai-everything-abu-dhabi",[781,782,52,783,53],"events","abu dhabi","financial services","ElFxoh8zy2QDQJsKiNXkHDIYRHEUUfMjIaRxR4vFaD0",{"id":786,"title":787,"author":8,"category":28,"date":788,"description":789,"extension":12,"featured":13,"image":790,"meta":791,"metaDescription":34,"metaTitle":34,"navigation":18,"path":792,"seo":793,"stem":794,"tags":795,"__hash__":799,"__readTime":39},"blog\u002Fblog\u002Fmeasure-ai-performance-and-set-the-right-kpis.md","Measure AI Performance and Set the Right KPIs","2026-03-07","AI performance means more than accuracy. These are the production KPIs that matter (latency, P99, TTFT and error rates) and how to measure them.","\u002Fimages\u002Fblits-performance.jpg",{},"\u002Fblog\u002Fmeasure-ai-performance-and-set-the-right-kpis",{"title":787,"description":789},"blog\u002Fmeasure-ai-performance-and-set-the-right-kpis",[796,797,798,53],"ai kpi","ai performance","observability","7izChjS6RtzVMstKY8mFca2uii-3N31S4GP1zVQOxX0",{"id":801,"title":802,"author":8,"category":28,"date":803,"description":804,"extension":12,"featured":13,"image":805,"meta":806,"metaDescription":34,"metaTitle":34,"navigation":18,"path":807,"seo":808,"stem":809,"tags":810,"__hash__":812,"__readTime":103},"blog\u002Fblog\u002Fnobody-budgets-in-tokens.md","Nobody Budgets in Tokens","2026-08-12","Per seat licensing carried software for a decade, but agents don't sit in seats and token pricing breaks the moment AI succeeds. Where AI pricing lands.","\u002Fblog\u002Fblits-pricing-eras-hero.png",{},"\u002Fblog\u002Fnobody-budgets-in-tokens",{"title":802,"description":804},"blog\u002Fnobody-budgets-in-tokens",[811,53,52,54],"ai pricing","hkBVqOB8OWhD605LVQ0T2z7EUAGFurKvJc45xadSVxs",{"id":814,"title":815,"author":487,"category":28,"date":816,"description":817,"extension":12,"featured":13,"image":818,"meta":819,"metaDescription":34,"metaTitle":820,"navigation":18,"path":821,"seo":822,"stem":823,"tags":34,"__hash__":824,"__readTime":24},"blog\u002Fblog\u002Fopening-the-natural-language-understanding-nlu-blackbox.md","Opening the Natural Language Understanding (NLU) Blackbox","2020-06-23","NLU is often treated as a black box, but knowing how it works is key to building effective conversational AI. A look inside.","\u002Fblog\u002FMonitoring-300x234.png",{},"Opening the NLU Black Box","\u002Fblog\u002Fopening-the-natural-language-understanding-nlu-blackbox",{"title":815,"description":817},"blog\u002Fopening-the-natural-language-understanding-nlu-blackbox","qPChjo2cCcMnFSlIS91oCjCT84N-DppSPKyROYaYC2Q",{"id":826,"title":827,"author":468,"category":28,"date":828,"description":829,"extension":12,"featured":13,"image":830,"meta":831,"metaDescription":832,"metaTitle":833,"navigation":18,"path":834,"seo":835,"stem":836,"tags":837,"__hash__":838,"__readTime":151},"blog\u002Fblog\u002Fprompt-injection-enterprise-ai-agents.md","Prompt Injection: The Attack Every Enterprise AI Agent Will Face","2026-11-20","Prompt injection is the number one risk on the OWASP list for LLM applications, and security agencies say it may never be fully solved. For AI agents that read emails and documents and act in your systems, that changes how you design them. What prompt injection is, real incidents, and five layers that keep a successful attack from doing real harm.","\u002Fblog\u002Fblits-prompt-injection-hero.png",{},"What prompt injection is, why it is the top risk for LLM applications, why it cannot be fully solved, and five layers that limit the damage for AI agents.","Prompt Injection: The Attack Every AI Agent Will Face","\u002Fblog\u002Fprompt-injection-enterprise-ai-agents",{"title":827,"description":829},"blog\u002Fprompt-injection-enterprise-ai-agents",[751,750,52,118,56],"mBu03eY3ykp-MVizY4m6FATerfgXKC3E7Rka_o9M8vc",{"id":840,"title":841,"author":8,"category":28,"date":842,"description":843,"extension":12,"featured":13,"image":844,"meta":845,"metaDescription":34,"metaTitle":846,"navigation":18,"path":847,"seo":848,"stem":849,"tags":850,"__hash__":851,"__readTime":576},"blog\u002Fblog\u002Frag-in-2026-why-enterprise-pipelines-still-fail.md","The RAG That Passed Its Demo and Quietly Died in Production","2026-04-16","A knowledge assistant that aces its pilot can fail silently, recall sliding while dashboards stay green. Why good RAG rots after the demo.","\u002Fimages\u002Fblits-hallucination.jpg",{},"RAG in 2026: Why Enterprise Pipelines Still Fail","\u002Fblog\u002Frag-in-2026-why-enterprise-pipelines-still-fail",{"title":841,"description":843},"blog\u002Frag-in-2026-why-enterprise-pipelines-still-fail",[734,53,644,735,512],"30WucP_fwRnTHUJ8UHdi6VXrjrevV1S2Uhl6sQMEEMY",{"id":853,"title":854,"author":8,"category":28,"date":855,"description":856,"extension":12,"featured":13,"image":857,"meta":858,"metaDescription":859,"metaTitle":854,"navigation":18,"path":860,"seo":861,"stem":862,"tags":863,"__hash__":867,"__readTime":39},"blog\u002Fblog\u002Fretail-ai-use-cases-that-survive-the-demo.md","Retail AI: The Use Cases That Survive Beyond the Demo","2026-11-27","Retail AI demos are all shopping assistants that talk like a friend with great taste. The retail AI that survives in production is mostly pricing, forecasting, fraud screening and product data. What 123 public deployments tell us, what Walmart, Amazon and IKEA actually report, and where the shopping assistant finally earns its place.","\u002Fblog\u002Fblits-retail-ai-hero.png",{},"Which retail AI use cases make it to production? What 123 public deployments, Walmart, Amazon, IKEA and Lowe's show, and why the boring ones pay first.","\u002Fblog\u002Fretail-ai-use-cases-that-survive-the-demo",{"title":854,"description":856},"blog\u002Fretail-ai-use-cases-that-survive-the-demo",[864,865,52,411,866],"retail ai","ecommerce","ai use cases","-ud86QKo5OoTfyhYMSq4I40xq-UYZWhtOdJTUPcddHU",{"id":869,"title":870,"author":8,"category":28,"date":871,"description":872,"extension":12,"featured":13,"image":873,"meta":874,"metaDescription":34,"metaTitle":875,"navigation":18,"path":876,"seo":877,"stem":878,"tags":879,"__hash__":881,"__readTime":39},"blog\u002Fblog\u002Ftext-to-speech-engines-and-why-they-matter.md","Text-to-Speech Engines: The Voice Layer Every AI Product Needs","2026-03-03","Text to speech is core AI infrastructure. What TTS engines are, the model approaches, the providers that matter, and why speed and dialect decide.","\u002Fimages\u002Fblits-voice.jpg",{},"Text to Speech Engines: The Voice Layer for AI","\u002Fblog\u002Ftext-to-speech-engines-and-why-they-matter",{"title":870,"description":872},"blog\u002Ftext-to-speech-engines-and-why-they-matter",[510,480,880],"ai infrastructure","Eu3je_dRENeJZno3LYJ_fO5Q8qAgtwBhXUoOKz3wGcA",{"id":883,"title":884,"author":8,"category":28,"date":885,"description":886,"extension":12,"featured":13,"image":887,"meta":888,"metaDescription":889,"metaTitle":34,"navigation":18,"path":890,"seo":891,"stem":892,"tags":893,"__hash__":895,"__readTime":413},"blog\u002Fblog\u002Fthe-ai-bank-runs-on-governance.md","The AI Bank Runs on Governance","2026-09-30","Our banking use case map grew from 21 to 81 jobs, so we turned it into a playbook. Along the way the story changed: the destination is the AI bank, where the work itself runs on governed AI, and what decides who gets there is governance far more than the models.","\u002Fblog\u002Fblits-ai-bank-eras-hero.png",{},"Our banking use case map grew from 21 to 81 jobs. The destination is the AI bank, and what decides who gets there is governance more than the models.","\u002Fblog\u002Fthe-ai-bank-runs-on-governance",{"title":884,"description":886},"blog\u002Fthe-ai-bank-runs-on-governance",[894,118,616,52,482],"ai bank","ziFVXhwwYmus7n690c2_Rwb-4y8O4_M3dywY49MRwnc",{"id":897,"title":898,"author":8,"category":28,"date":899,"description":900,"extension":12,"featured":13,"image":901,"meta":902,"metaDescription":34,"metaTitle":34,"navigation":18,"path":903,"seo":904,"stem":905,"tags":906,"__hash__":908,"__readTime":413},"blog\u002Fblog\u002Fthe-best-ai-model-doesnt-exist.md","The Best AI Model Doesn't Exist","2026-07-27","62 AI model versions got a retirement date this year. Why locking your business to one model is a hidden risk, and why staying model agnostic wins.","\u002Fblog\u002Fblits-model-agnostic-hub.png",{},"\u002Fblog\u002Fthe-best-ai-model-doesnt-exist",{"title":898,"description":900},"blog\u002Fthe-best-ai-model-doesnt-exist",[907,53,644,511,54],"model agnostic","JqdV1Cu_gxRCBVp7H6x-wfyip2yVMkHRo7Tu0G_4gnM",{"id":910,"title":911,"author":8,"category":61,"date":912,"description":913,"extension":12,"featured":13,"image":914,"meta":915,"metaDescription":916,"metaTitle":917,"navigation":18,"path":918,"seo":919,"stem":920,"tags":34,"__hash__":921,"__readTime":24},"blog\u002Fblog\u002Fthe-best-way-for-chatbots-to-actually-understand-your-customers.md","Blits.ai: The Best Way for Chatbots to Actually Understand Your Customers","2021-02-11","We're introducing a new method at Blits.ai that changes how chatbots work under the hood. From the start our idea was simple: companies should be able to use the best performing engines on the market without having to pick one vendor and hope for the best. Right now we are two things at once, a middleware layer and a low code platform, and through it our customers get access to 40+ cognitive AI services.","\u002Fblog\u002F1611759270728.png",{},"A new Blits.ai method lets chatbots use the best AI engines on the market without betting on one vendor, through 40+ cognitive AI services.","How Chatbots Truly Understand Your Customers","\u002Fblog\u002Fthe-best-way-for-chatbots-to-actually-understand-your-customers",{"title":911,"description":913},"blog\u002Fthe-best-way-for-chatbots-to-actually-understand-your-customers","jlCmU9T6D-chVvdsZIMpRg5Gk4hbzvt7Mut-plLU6ZY",{"id":923,"title":924,"author":487,"category":28,"date":925,"description":926,"extension":12,"featured":13,"image":927,"meta":928,"metaDescription":929,"metaTitle":34,"navigation":18,"path":930,"seo":931,"stem":932,"tags":933,"__hash__":936,"__readTime":39},"blog\u002Fblog\u002Fthe-chargeback-arms-race.md","The Chargeback Arms Race","2026-10-03","Chargebacks are heading for 337 million a year, most of them aren't real fraud, and each one costs a multiple of its face value. A practical look at the six AI jobs hiding in one dispute, what each of them needs to be governed, and why agentic commerce will change the volume.","\u002Fblog\u002Fblits-chargeback-loop-hero.png",{},"Chargebacks head for 337 million a year and most are not fraud. The six AI jobs in one dispute, how to govern each, and what agentic commerce changes.","\u002Fblog\u002Fthe-chargeback-arms-race",{"title":924,"description":926},"blog\u002Fthe-chargeback-arms-race",[934,462,52,53,935],"chargebacks","fraud","HPFO_kwJvdXKmDRJf83bSyREvy4-rH815TsB1ButS64",{"id":938,"title":939,"author":136,"category":28,"date":940,"description":941,"extension":12,"featured":13,"image":942,"meta":943,"metaDescription":944,"metaTitle":34,"navigation":18,"path":945,"seo":946,"stem":947,"tags":948,"__hash__":951,"__readTime":413},"blog\u002Fblog\u002Fthe-company-that-calls-first.md","The Company That Calls First","2026-09-23","A brief landed on my desk asking for 600,000 outbound calls a month, by AI. The pattern is not a banking story: it applies to every enterprise with customers worth calling. Why human dialling died, what insurers, banks, lenders and software companies already run, and the anatomy of a governed outbound call.","\u002Fblog\u002Fblits-outbound-hero.png",{},"A brief asked for 600,000 outbound AI calls a month. Why human dialling died, what insurers, banks and lenders already run, and how a governed outbound call works.","\u002Fblog\u002Fthe-company-that-calls-first",{"title":939,"description":941},"blog\u002Fthe-company-that-calls-first",[949,480,53,52,950],"outbound ai","sales","lex9hp4VJze5EHsfvgwSNDTKzRgcx7xuHKtS3Co1hxc",{"id":953,"title":954,"author":487,"category":28,"date":955,"description":956,"extension":12,"featured":13,"image":957,"meta":958,"metaDescription":959,"metaTitle":960,"navigation":18,"path":961,"seo":962,"stem":963,"tags":964,"__hash__":966,"__readTime":151},"blog\u002Fblog\u002Fthe-coordination-layer-what-to-build-when-models-converge.md","The Coordination Layer: What to Build When Models Converge","2026-10-20","Models are converging and getting cheaper to swap, so the durable engineering in enterprise AI is moving somewhere else: the layer that decides who may act, what is remembered, when a human takes over and what gets evidenced. A build guide for the part of your AI stack you'll still own in five years.","\u002Fblog\u002Fblits-coordination-layer-hero.png",{},"Models converge and get cheaper to swap, so lasting work moves to the layer that decides who acts, what is remembered and when a human takes over.","What to Build When AI Models Converge","\u002Fblog\u002Fthe-coordination-layer-what-to-build-when-models-converge",{"title":954,"description":956},"blog\u002Fthe-coordination-layer-what-to-build-when-models-converge",[149,52,53,118,965],"integration","6bV3tAmavHYlr6iTqMhgdg-TOmMYZipHTMmtAENHZCE",{"id":968,"title":969,"author":8,"category":28,"date":970,"description":971,"extension":12,"featured":13,"image":844,"meta":972,"metaDescription":973,"metaTitle":974,"navigation":18,"path":975,"seo":976,"stem":977,"tags":978,"__hash__":981,"__readTime":413},"blog\u002Fblog\u002Fthe-danger-of-ai-hallucinations-and-how-businesses-should-handle-it.md","The Danger of AI Hallucinations and How Businesses Should Handle It","2026-02-25","AI hallucinations are a business risk as much as an error. What they are, why models make things up, how often it happens, real cases from courts and companies, practical mitigations, and what you gain by getting it right.",{},"What AI hallucinations are, why models make things up, how often they do, real cases from courts and companies, and how businesses reduce the risk.","AI Hallucinations and How Businesses Handle Them","\u002Fblog\u002Fthe-danger-of-ai-hallucinations-and-how-businesses-should-handle-it",{"title":969,"description":971},"blog\u002Fthe-danger-of-ai-hallucinations-and-how-businesses-should-handle-it",[979,644,980,53],"ai","risk management","hXB0xURMAestXPn4SvNI1RX6xuzd8zazx12PKSMkFJU",{"id":983,"title":984,"author":8,"category":28,"date":985,"description":986,"extension":12,"featured":13,"image":987,"meta":988,"metaDescription":34,"metaTitle":989,"navigation":18,"path":990,"seo":991,"stem":992,"tags":993,"__hash__":995,"__readTime":576},"blog\u002Fblog\u002Fthe-many-forms-of-rag-explained-without-the-jargon.md","The Many Forms of RAG, Explained Without the Jargon","2026-07-02","Hybrid search, reranking, ColBERT, GraphRAG, self-RAG: a plain language guide to what each RAG variant does and which ones you probably don't need.","\u002Fblog\u002FBlits-ai-RAG-used-to-be-one-thing.png",{},"The Many Forms of RAG, Without the Jargon","\u002Fblog\u002Fthe-many-forms-of-rag-explained-without-the-jargon",{"title":984,"description":986},"blog\u002Fthe-many-forms-of-rag-explained-without-the-jargon",[734,53,644,735,994],"ai explained","I_4mb1aJRQPXhlA7DS18iNF9x69fHflEzyBjmTit6RE",{"id":997,"title":998,"author":468,"category":28,"date":999,"description":1000,"extension":12,"featured":13,"image":1001,"meta":1002,"metaDescription":34,"metaTitle":1003,"navigation":18,"path":1004,"seo":1005,"stem":1006,"tags":1007,"__hash__":1009,"__readTime":1010},"blog\u002Fblog\u002Fthe-missing-text-layer-why-speech-to-speech-fails-enterprise.md","The Missing Text Layer: Why Speech-to-Speech Agents Fail Enterprise Requirements","2026-07-23","Native speech to speech demos beautifully, then fails enterprise needs. Why the text layer, where guardrails and audit live, still wins regulated voice.","\u002Fblog\u002Fblitsai-voice-isnt-safe.png",{},"Why Speech to Speech Voice Agents Fail Enterprise","\u002Fblog\u002Fthe-missing-text-layer-why-speech-to-speech-fails-enterprise",{"title":998,"description":1000},"blog\u002Fthe-missing-text-layer-why-speech-to-speech-fails-enterprise",[480,1008,53,149,428],"speech to speech","_wRru7BtLUWa3kxmqXFqOH19LuZw0aj0P7uY7jSmSYc","15 min read",{"id":1012,"title":1013,"author":8,"category":28,"date":1014,"description":1015,"extension":12,"featured":13,"image":1016,"meta":1017,"metaDescription":1018,"metaTitle":1019,"navigation":18,"path":1020,"seo":1021,"stem":1022,"tags":1023,"__hash__":1024,"__readTime":413},"blog\u002Fblog\u002Fthe-universal-commerce-protocol-and-why-llms-need-a-new-economic-language.md","The Universal Commerce Protocol and Why LLMs Need a New Economic Language","2026-01-19","Why commerce as we know it does not work for AI and what the Universal Commerce Protocol is trying to fix","\u002Fimages\u002FbannerUCP-blits.png",{},"Why commerce as we know it does not work for AI, what the Universal Commerce Protocol is trying to fix, and why LLMs need a new economic language.","The Universal Commerce Protocol for LLMs","\u002Fblog\u002Fthe-universal-commerce-protocol-and-why-llms-need-a-new-economic-language",{"title":1013,"description":1015},"blog\u002Fthe-universal-commerce-protocol-and-why-llms-need-a-new-economic-language",[],"m0tr5KARy4ydjJJuxAi4PVAYnRO7OhZnTm_iqltnddk",{"id":1026,"title":1027,"author":8,"category":28,"date":1028,"description":1029,"extension":12,"featured":18,"image":1030,"meta":1031,"metaDescription":34,"metaTitle":1032,"navigation":18,"path":1033,"seo":1034,"stem":1035,"tags":1036,"__hash__":1041,"__readTime":88},"blog\u002Fblog\u002Fuse-cases-in-what-the-future-of-banking-ai-actually-looks-like.md","21 Use Cases In: What the Future of Banking AI Actually Looks Like","2026-08-05","21 banking AI use cases, live or in delivery, across the Middle East, Africa and Europe: dialect voice, digital humans, KYC, fraud screening and outbound agents.","\u002Fblog\u002Fblits-banking-ai-hero.png",{},"21 Use Cases: The Future of Banking AI","\u002Fblog\u002Fuse-cases-in-what-the-future-of-banking-ai-actually-looks-like",{"title":1027,"description":1029},"blog\u002Fuse-cases-in-what-the-future-of-banking-ai-actually-looks-like",[616,52,1037,480,1038,1039,1040],"digital humans","super apps","outbound voice","use cases","8xwelyyim84wM89UJ3_AwxnBerKWf2IZG1930y4KjcI",{"id":1043,"title":1044,"author":8,"category":9,"date":1045,"description":1046,"extension":12,"featured":13,"image":1047,"meta":1048,"metaDescription":1049,"metaTitle":1050,"navigation":18,"path":312,"seo":1051,"stem":1052,"tags":1053,"__hash__":1058,"__readTime":103},"blog\u002Fblog\u002Fusing-cloud-ai-without-sending-personal-data-abroad.md","Using Cloud AI Without Sending Personal Data Abroad","2026-10-16","Strict data rules, no local AI cloud region, no GPUs, and a board that wants agents live this quarter. For a lot of banks and other regulated organizations that used to mean picking two out of three. Our new privacy shield removes the trade off: the best cloud models do the thinking, and the personal data never leaves your building.","\u002Fblog\u002Fblits-privacy-shield-hero.png",{},"Banks and other regulated organizations without a local AI cloud or GPUs can use the best cloud models while personal data stays in their own environment.","Cloud AI Without Sending Personal Data Abroad",{"title":1044,"description":1046},"blog\u002Fusing-cloud-ai-without-sending-personal-data-abroad",[1054,1055,1056,783,1057,52],"privacy","data residency","on premises","regulated industries","6RznfjQ5ouJ8-p4PHDvoYFz7sJc2d3OrPwHh9ZsvWek",{"id":1060,"title":1061,"author":8,"category":28,"date":1062,"description":1063,"extension":12,"featured":13,"image":1064,"meta":1065,"metaDescription":1066,"metaTitle":1067,"navigation":18,"path":1068,"seo":1069,"stem":1070,"tags":1071,"__hash__":1075,"__readTime":39},"blog\u002Fblog\u002Fwe-read-650-ai-deployments-so-you-dont-have-to.md","We Read 1,300+ AI Deployments So You Don't Have To","2026-10-13","We built a public library of 257 AI use cases and 1,377 real deployments, with every number quoted from its source and labelled with who made the claim. The verdict: AI is doing real work, the industry can't prove it, and the sellers are writing the benchmarks.","\u002Fblog\u002Fblits-use-case-library-hero.png",{},"A public library of 257 AI use cases and 1,377 real deployments, every number sourced. AI does real work, but the industry cannot prove it yet.","Lessons From 1,300+ AI Deployments","\u002Fblog\u002Fwe-read-650-ai-deployments-so-you-dont-have-to",{"title":1061,"description":1063},"blog\u002Fwe-read-650-ai-deployments-so-you-dont-have-to",[866,1072,53,1073,1074],"ai adoption","ai benchmarks","research","1t8kKQ1aRAV876lRNXk4uMDvFc_IGXhaAaVoH9WtrnI",{"id":1077,"title":1078,"author":8,"category":28,"date":803,"description":1079,"extension":12,"featured":13,"image":1080,"meta":1081,"metaDescription":34,"metaTitle":1082,"navigation":18,"path":1083,"seo":1084,"stem":1085,"tags":1086,"__hash__":1089,"__readTime":39},"blog\u002Fblog\u002Fwere-not-saas-not-an-integrator-on-purpose.md","We're Not SaaS. We're Not an Integrator. On Purpose.","Procurement wants us to be a software vendor or an implementation partner. We are neither, and I think the model in between is what gets AI into production.","\u002Fblog\u002Fblits-positioning-hero.png",{},"Not SaaS, Not an Integrator, On Purpose","\u002Fblog\u002Fwere-not-saas-not-an-integrator-on-purpose",{"title":1078,"description":1079},"blog\u002Fwere-not-saas-not-an-integrator-on-purpose",[53,54,1087,1088],"platform","company","NNBRDZDagTR5umxOvb2Os1ZCgfhPE4FIwUzmjgyZSYc",{"id":1091,"title":1092,"author":136,"category":28,"date":1093,"description":1094,"extension":12,"featured":13,"image":1095,"meta":1096,"metaDescription":1097,"metaTitle":1098,"navigation":18,"path":1099,"seo":1100,"stem":1101,"tags":1102,"__hash__":1104,"__readTime":71},"blog\u002Fblog\u002Fwhat-ai-native-means-for-a-bank.md","What \"AI Native\" Actually Means for a Bank","2026-11-13","Every bank now has AI. Very few are AI native. The difference is not the number of pilots but whether the bank's processes run on AI, with people making the decisions. What AI native means in practice, what the leaders already show, and five shifts that separate AI added from AI native.","\u002Fblog\u002Fblits-ai-native-bank-hero.png",{},"AI native is more than a chatbot. What an AI native bank looks like, what DBS, JPMorgan and BNY already do, and five shifts from AI added to AI native.","What AI Native Actually Means for a Bank","\u002Fblog\u002Fwhat-ai-native-means-for-a-bank",{"title":1092,"description":1094},"blog\u002Fwhat-ai-native-means-for-a-bank",[1103,56,54,52,118],"ai native","xm9stxevxfXhA2IiQw26274lTFWljmNkQ1f3_5HznR8",{"id":1106,"title":1107,"author":8,"category":28,"date":1108,"description":1109,"extension":12,"featured":13,"image":1110,"meta":1111,"metaDescription":1112,"metaTitle":1113,"navigation":18,"path":1114,"seo":1115,"stem":1116,"tags":34,"__hash__":1117,"__readTime":151},"blog\u002Fblog\u002Fwhat-is-artificial-intelligence.md","At this point, most people are afraid to ask a simple question; what is artificial intelligence (AI)?","2023-03-28","Someone once told me stupid questions don't exist. Maybe so, but people are still afraid to look stupid by asking about things that are assumed to be general knowledge, and Artificial Intelligence (AI) is one of them. With ChatGPT and Midjourney everyone loves to talk about AI, yet I only know a handful of people who actually know how it works. So here are the basics.","\u002Fblog\u002F1678649727454.jpeg",{},"Everyone talks about ChatGPT and Midjourney, yet few people know how AI actually works, and many are afraid to ask. So here are the basics.","What Is Artificial Intelligence (AI)?","\u002Fblog\u002Fwhat-is-artificial-intelligence",{"title":1107,"description":1109},"blog\u002Fwhat-is-artificial-intelligence","puXtdqK7g8r2GrDbxm4d77lDflWUdtOTBEqLRtvmeIs",[21,37,50,69,82,100,130,375,458,495,508,526,543,558,571,587,601,614,628,641,658,671,684,697,713,747,763,779,794,809,823,849,878,892,905,920,932,947,963,977,992,1006,1022,1035,1052,1070,1085,1116],1792662238514]