
Agentic Pay and the Moment AI Was Allowed to Spend Money
Why giving AI agents controlled access to payments changes everything. The question is who designs the rules under which it does.











Insights, updates, and thought leadership on conversational AI, enterprise automation, and the future of customer experience
Why commerce as we know it does not work for AI and what the Universal Commerce Protocol is trying to fix


Why giving AI agents controlled access to payments changes everything. The question is who designs the rules under which it does.

In the first week of January we turned quality assurance into a Bug Hunt Game. Here’s what happened when we put Hunters, Fixers, and a Judge on a shared leaderboard powered by Azure DevOps.

Large Language Models are reshaping how organizations interact with information, customers, and services. At the same time, an increasingly relevant question is emerging in Europe: who builds these models, on what data, and under which values and regulations?

In my previous article 9 Things I Really Hate About AI, I mentioned how everyone suddenly seems to be an AI expert and how that creates a lot of noise. In the next few posts, I'll break down some key AI concepts specifically for business professionals. Why? Because even if you're actively looking for information, much of what's out there is either inaccurate or way too technical for the average manager to make sense of.

Let's be honest: I think it's great that technology is so embedded in our daily lives. It helps us get knowledge faster, complete 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, I feel it's time to reflect on the things I really hate about AI.

In the world of AI, where innovation moves at breakneck speed, being the CTO of a fast-growing scale-up is an exhilarating job—but not for the faint of heart. Our company specializes in large language models (LLMs), chatbots, digital humans, and voicebots, and we serve mainly large banks, international companies, and professional enterprises.

We're excited to announce a major milestone in conversational AI technology. Blits.ai now supports GPT-4, bringing unprecedented capabilities to chatbot development and deployment.

Someone once told me, stupid questions don't exist. This might be true, but people are still afraid to look stupid by asking questions that are assumed to be general knowledge. We are currently at a point in time, where most people are assumed to know what is meant by the term Artificial Intelligence (AI) and how it works, but less is further from the truth. With the recent boost of generative AI services like ChatGPT and Midjourney, the spark is ever more lit, everyone loves to talk about it but I only know a hand full of people who actually know how it works.

Over 5 years ago I started a chatbot (ad)venture called Blits.ai because I believed the way we as humans interact with data will change to a more conversation-based approach. With the current ChatGPT hype (generative AI), more and more people are coming to the same conclusion which is great, but we are not clearly there yet.

Our comprehensive research into conversational AI performance reveals significant improvements in chatbot effectiveness across multiple industries and use cases.

GPT-3 has revolutionized the field of conversational AI, but understanding its practical applications and limitations is crucial for successful implementation.

At Blits.ai we're introducing a new method that reshapes how chatbots work. From the beginning, our company has been focusing on building a chatbot ecosystem that gives companies access to the best performing engines of the market. Our current offering is both a middleware layer and a low-code software platform, that gives our customers access to 40+ cognitive AI services.

Building effective chatbots requires more than just basic conversation capabilities. Here are 15 advanced features that can transform your chatbot from a simple Q&A tool into a powerful business asset.

Natural Language Understanding (NLU) is often treated as a black box, but understanding how it works is crucial for building effective conversational AI solutions.
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