Chatbots

Chatbots

Give every customer a fast, personal answer on every channel. Blits.ai chatbots understand context, learn from each interaction, and get sharper with every conversation.

AI powered
Multichannel
Analytics ready

What are chatbots?

Chatbots are AI powered conversational interfaces that hold humanlike conversations by text or voice. Scripted bots break the moment a customer goes off script. Blits.ai chatbots understand context, learn from every conversation, and reply in a way that feels natural and personal.

They run on Large Language Models (LLMs) connected to your business systems. They handle complex queries, pull real time data, and hand off to a human agent whenever it is needed.

Chatbot use cases, and how we build them with Blits.ai Chatbots

Six use cases that organizations already run in production with chatbots: what each one does, how we build it with Blits.ai Chatbots, and what it can be worth for an organization of a given size.

First line contact center

An AI first line contact center agent answers inbound customer contact on phone, chat and messaging, resolving general and routine questions end to end in the customer's own language. It routes everything complex, sensitive or regulated to the right human team, with the context attached.

USD 900,000 to USD 3.8 million
Human handled contact cost avoided, per year. Reference: A retail bank contact center that receives 2 million contacts a year across phone and chat.

Containment rate: median 50%, reported by 13 public deployments.

How we build it on Blits.ai

On Blits.ai this is an AI agent grounded in a knowledge base with hybrid retrieval over the organization's approved content, with flows for journeys that must follow fixed steps and custom functions for read only lookups such as request or case status. Language detection and multi language content let one agent serve customers in their own language.

The same agent runs on voice (streaming speech recognition and synthesis, DTMF, call transfer), web chat, WhatsApp, SMS and Facebook Messenger, and inside the organization's own app through the API channel. Human handover passes the conversation transcript to a live agent platform (Salesforce, Freshdesk or Zoho SalesIQ) or transfers the call on voice, and supervisors can monitor and take over live, including on calls.

Guardrails check input and output, PII masking runs at the gateway, test suites hold multi turn conversation sets built from real transcripts that you run before each change goes live, monitors check key journeys on a schedule, and analytics show interactions, satisfaction, sentiment and top intents, with conversation logs to review every handover. The platform is model agnostic.

Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises.

See the 53 public deployments

Conversational shopping assistant

An AI conversational shopping assistant answers product questions and recommends items from a retailer's own catalog, for a need, project or occasion a shopper describes. It works on the retailer's site or app, compares items grounded in the retailer's product data, reviews and stock, and hands the shopper to a basket, a store or a human expert.

EUR 60,000 to EUR 720,000
Incremental gross margin from assisted sessions, per year. Reference: An online retailer with EUR 200 million in annual online sales.

Conversion uplift: median 100%, reported by 3 public deployments.

How we build it on Blits.ai

On Blits.ai this is an AI agent with a knowledge base that holds product guides and how to content, retrieved with hybrid search, plus SQL knowledge bases or custom functions that query the product catalog, live price and stock (REST calls or SQL queries). The agent asks clarifying questions, recommends and compares, and the chat widget shows the result as product recommendation, retail and order cards or a carousel; basket and reservation actions are custom functions with their own limits.

The same assistant runs on web chat, WhatsApp, voice and a mobile app (through the REST or WebSocket API channel), and can appear as a digital human, a photorealistic avatar streamed to the browser. Guardrails block prompt injection and apply the retailer's own policies on unsafe advice, PII masking protects personal data, and human handover routes complex projects to an expert. Test suites run category question sets on every change, analytics show satisfaction, response feedback and top intents, and the platform is model agnostic. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises, as needed.

See the 12 public deployments

Account and card servicing

An AI account and card servicing agent is an AI agent that resolves routine banking account and card requests for customers, end to end. It handles things like balances, statements, card blocks and replacements, PIN resets and limit changes, across app, web, messaging and phone, and hands anything sensitive or unusual to a human with the full context.

USD 720,000 to USD 8.6 million
Human handled contact cost avoided, per year. Reference: A retail bank with 1 million digitally active customers.

Containment rate: median 85%, reported by 3 public deployments.

How we build it on Blits.ai

On Blits.ai this is an AI agent with a small set of custom functions that call the bank's servicing APIs as REST calls, each scoped to one action, combined with a knowledge base that holds only approved product and fee content, retrieved with hybrid search. Regulated journeys such as a card block follow a flow with deterministic steps that calls the bank's own step up authentication through a custom function; open questions go to the agent.

The same agent serves web chat, WhatsApp, SMS and voice, and the bank's mobile app through the REST or WebSocket API channel, with streaming speech recognition and synthesis on the phone. Guardrails check input and output, PII masking and card number tokenization happen at the gateway before text reaches a model, and human handover passes the conversation to a live agent platform such as Salesforce, Freshdesk or Zoho SalesIQ, with the history (optionally summarized by AI) retrieved in the flow. Test suites run multi turn conversations per intent on every change, and analytics show interactions, top intents and satisfaction. The platform is model agnostic, so the bank can choose or switch the underlying model per agent.

See the 11 public deployments

Policy servicing agent

An insurance policy servicing agent is AI that answers policyholders' coverage questions from their own policy documents and completes routine policy changes and document requests across chat, messaging and phone. Examples include address and vehicle changes, adding a named driver or item, payment method updates, and certificates and proof of cover, and it hands anything complex or sensitive to a human with the context.

USD 500,000 to USD 4 million
Human handled servicing cost avoided, per year. Reference: A personal lines insurer with 1 million policyholders.
How we build it on Blits.ai

On Blits.ai this is an AI agent with a knowledge base of policy wordings and endorsements, searched with hybrid retrieval, plus custom functions that call the policy administration system's REST APIs to fetch the customer's own schedule and wording version and to make mid term changes. Regulated journeys, such as changing payment details, run as a flow with an authentication step, and payment links handle any premium due.

The same agent serves web chat, WhatsApp and voice, and the insurer's own mobile app through the REST or WebSocket API channel, with streaming speech on the phone and multi language support. Guardrails check inputs and outputs, PII masking and card number tokenization happen at the gateway, and human handover passes the summary to the contact center, including live takeover. Test suites replay real coverage questions on every wording release, analytics show interactions, satisfaction and top intents, and conversation logs show each handover in full.

See the 6 public deployments

Citizen information assistant

A citizen information assistant is an AI assistant that answers residents' and businesses' questions about government services in plain language, grounded only in official guidance with links to the source. It points them to the right online service or office, and hands anything personal, urgent or outside its content to a human with the context attached.

USD 480,000 to USD 3.2 million
Human handled contact cost avoided, per year. Reference: A national agency that receives 2 million phone and chat contacts a year.
How we build it on Blits.ai

On Blits.ai this is an AI agent grounded in a knowledge base that holds only official guidance, ingested from documents and crawled websites that can be recrawled, and retrieved with hybrid search, so every answer can cite its source. Guardrails check input and output, the platform default blocks prompt injection, and PII masking at the gateway removes personal data before text reaches a model. Fixed journeys such as "which office do I need" run as a flow, with language detection and translation blocks for multilingual service.

The same agent serves web chat, WhatsApp and voice, reaches a mobile app through the REST or WebSocket API channel, and human handover passes the conversation to the contact center. Test suites replay real questions with ideal answers on every content or model change, monitors check live answers on a schedule, and analytics break down untrained questions and unexpected answers. The platform is model agnostic. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises, which matters for public sector hosting rules.

See the 29 public deployments

Inbound lead qualification

An inbound lead qualification agent is an AI agent that engages inbound prospects the moment they arrive, qualifies them and books a meeting or hands them to the right salesperson. It works on the website, chat, messaging or the sales phone line, answers their first questions, qualifies against the organization's criteria, and writes the conversation context into the CRM so the salesperson receives a ready conversation.

USD 150,000 to USD 1.8 million
Additional first year revenue from better inbound conversion, per year. Reference: A B2B software company with 20,000 inbound leads a year.
How we build it on Blits.ai

On Blits.ai this is an AI agent with a knowledge base of approved product and pricing content, retrieved with hybrid search, and the ready made HubSpot, Microsoft Dynamics 365 or Zoho tools (or custom functions for another CRM such as Salesforce) to look up accounts, create leads and log the conversation. Qualification questions and routing rules can run in a flow with deterministic conditions, while the agent handles the open conversation; booking a meeting is a function call to the calendar.

The agent runs on web chat (with proactive popup messages), WhatsApp, email and voice, where it can transfer a live call to a rep. Guardrails block prompt injection by default, and an input and output policy you write can stop commitments on price; PII masking protects contact data, and the GDPR toolkit handles consent messages and data removal. Human handover brings a rep into the conversation, and a flow can send an AI summarized conversation history to the sales team. Test suites replay qualification scenarios on every change, and analytics show interactions, satisfaction and sentiment. The platform is model agnostic.

See the 8 public deployments

What organizations achieve with AI chat agents

Across 561 public deployments of conversational AI agents at 503 organizations in 60 countries, these are the results organizations report.

63%

Containment rate

median across 34 public deployments

30.5%

Conversion uplift

median across 14 public deployments

90%

Accuracy

median across 11 public deployments

Figures are reported by the organizations themselves or their technology vendors and checked in the Blits.ai AI Use Case Library, where each use case page lists the organizations and sources. Explore all 87 use cases in the AI Use Case Library.

What matters when a chatbot speaks for your organization

A chatbot answers customers in your name, day and night, with no colleague reading along. These are the questions service, compliance and IT teams ask before it goes live, and how Blits.ai answers them.

Answers only from approved knowledge

A chatbot that invents a price or a policy creates more work than it saves. Answers can be restricted to approved knowledge, with retrieval enforced before the agent answers, and hybrid search finds the right passage in your approved content. When that content does not cover a question, the assistant says so and offers a person, and input and output guardrails block prompt injection and off topic requests.

Handover to a person, with the context

Complaints, disputes and customers who ask for a person go to your team with the full conversation attached, so nobody has to explain their question twice. Blits.ai hands the chat to your live agent platform, can add an AI summary of the history, and lets supervisors take over a conversation while it is still running.

Web chat, WhatsApp and your own app

One assistant serves the web chat widget, WhatsApp and SMS, and runs inside your mobile app through the REST or WebSocket API channel. Answers can appear as product, order or retail cards and carousels, and the same knowledge base and guardrails apply on every channel, so a customer gets the same answer wherever they ask.

Accessible to every customer

The European Accessibility Act applies to the websites and apps of banks, online shops, transport and telecom operators, chat included. Customers who would rather speak than type can reach the same assistant by voice, it replies in their own language, Arabic and its dialects included, and through the API channel it runs inside your app's own accessible interface.

Personal data masked before a model sees it

PII masking at the gateway removes personal data and tokenizes card numbers before text reaches a model. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises, with the model of your choice. Blits.ai is ISO 27001, ISO 42001, SOC 2 Type II and PCI DSS Level 1 certified.

Analytics, and tests before every change

Analytics show interactions, satisfaction, sentiment and top intents, and conversation logs let you read every handover in full. Before new content or a new model goes live, test suites built from real conversations replay the questions customers ask and check the answers, so a fix in one journey does not break another.

Why teams choose Blits.ai for chatbots

Give customers a better experience while you cut costs and run a leaner operation

24/7 availability

Never miss an inquiry. Your chatbot answers instantly, day and night, so every customer gets help the moment they ask for it.

Lower cost to serve

Chatbots answer routine inquiries automatically, so your team spends its time on the complex issues and your cost to serve goes down.

Scale without limits

Handle thousands of conversations at once without adding resources. Capacity scales up and down with demand, automatically.

Personalized experiences

Tailor every reply to each customer's history, preferences, and behavior, so every conversation feels personal.

Build once. Deploy everywhere.

Launch on websites, mobile apps, social media, messaging platforms, and more, with a consistent experience on each one.

Insight into every conversation

See how customers behave, where conversations go, and how your bot performs, then keep optimizing the experience.

Built for the enterprise from day one

Blits.ai is the enterprise AI platform built for production: leading AI models, enterprise grade reliability, and fast integration

Leading models, your choice

Run the latest Large Language Models from OpenAI, Google, Microsoft, and Anthropic, backed by our proprietary context management and conversation flow optimization.

Low code platform

Get a first chatbot live in days. A visual drag and drop builder puts bot creation in the hands of business users, with full enterprise capabilities underneath.

Connects to your stack

Connect 61 business systems, including CRM, ERP, helpdesk, and payment platforms. Prebuilt connectors and APIs keep integration simple.

Real time analytics

Track conversation quality, customer satisfaction, and business metrics in real time. Use that data to improve performance continuously.

Enterprise security

ISO 27001, ISO 42001, SOC 2 Type II and PCI DSS Level 1 certified, GDPR compliant. End to end encryption and advanced security controls protect your data.

Professional services

Our AI experts support you end to end, from strategy and design to deployment and optimization. You get the results without the heavy lifting.

How we get you live

A proven four step method takes you from concept to production, week by week

1 to 2

Discovery & design

Requirements gathering, conversation flow design, and integration planning

3 to 4

Development & testing

Bot development, integration setup, and thorough testing

5 to 6

Pilot & optimization

Limited rollout, performance monitoring, and fine tuning

7 to 8

Full deployment

Production launch, team training, and ongoing support setup

Enterprise deployments typically take 4 to 8 weeks

How we deliver it

You buy a working use case, not a license to build one. The Blits.ai team takes it from workshop to production and runs it for as long as it is live.

  1. 1

    Workshop

    Optional: one or two days to refine the use case, with its value and risk tier.

  2. 2

    Demo

    A working demo of your use case on the platform, before you commit.

  3. 3

    Build and integrate

    We build it on the platform and connect it to your systems and your own app.

  4. 4

    Deploy

    In our managed cloud, your private cloud, on premises or air gapped. Live in weeks.

  5. 5

    Run and improve

    Support, monitoring and model updates for as long as it is live.

Blits.ai is the enterprise AI platform and the team that delivers on it: we refine the use case with you in a workshop, build and integrate it with your systems and apps, deploy it in the cloud or on premises, and run and improve it for as long as it is live.

How we work

Your use case, live in weeks.

Join the leading enterprises that run their customer service on Blits.ai chatbots.

Frequently asked questions

The numbers behind the shift

Market context, with sources. The opportunity is real, and so is the risk of getting it wrong.

two thirds
of all customer service chats handled by Klarna's AI assistant in its first month, doing the work of 700 agents
Source: Klarna
3B+
client interactions handled by Bank of America's Erica assistant since 2018, now around 58 million a month
Source: Bank of America newsroom
95%
of enterprise generative AI pilots deliver no measurable impact on the P&L, so execution and the right use case matter more than the model
Source: MIT report (via Fortune)