BAIS Agent

Hi Fazier! I'm Richie, founder of B.A.I.S., a small AI studio in County Durham, UK. I built BAIS Agent because most website chatbots I tried would happily make up a price or a returns policy when they didn't know the answer. That's worse than no bot at all for a small business. BAIS Agent answers only from your own documents. When something isn't covered, it says so and passes the question to your team. Every assistant is tested before delivery, and you get a Grounding Report showing each test question, the answer and its source. You can try our own assistant live at baisukltd.co.uk/agent. Ask it something it hasn't been told and watch it decline. Honest feedback very welcome!

Really impressive tool! The biggest hurdle with AI customer support has always been hallucinated policies or made-up discounts, so the dedicated Grounding Report and strict fallback to human agents are massive trust-builders. Offering deployment across WhatsApp, Telegram, and self-hosted environments makes it exceptionally practical for real-world businesses. Great work, BAIS team!

The Grounding Report is the part I'd actually show a client: seeing every test question next to its source makes it much easier to trust that the bot won't invent a refund policy. How do you handle docs that change often, like prices or opening hours? Does the agent re-read the sitemap on a schedule, or does someone need to re-run it?

Looks great! Simple, easy to read

I really like the idea of grounding AI customer support in a company's own documentation instead of letting the model generate answers freely. The Grounding Report is especially interesting because it gives businesses a way to review answers and their sources before deployment. I'm curious about how BAIS Agent handles frequently changing information. For example, if a business updates its pricing or return policy, does the agent automatically sync the latest content, or does someone need to update the knowledge base manually? Also, when a conversation is handed over to a human, is the full conversation history and its referenced sources included?

AI support that answers 24/7 from your own docs.

Grounding Report is a smart touch. Seeing every test question and its source builds real trust. Good luck.

I really like the idea of grounding AI customer support in a company's own documentation instead of letting the model generate answers freely. The Grounding Report is especially interesting because it gives businesses a way to review answers and their sources before deployment. I'm curious about how BAIS Agent handles frequently changing information. For example, if a business updates its pricing or return policy, does the agent automatically sync the latest content, or does someone need to update the knowledge base manually? Also, when a conversation is handed over to a human, is the full conversation history and its referenced sources included?

The Grounding Report stands out to me — showing each test question, its answer, and its source is a practical way to build trust before going live. How does the handoff to a human team work when a question is not covered: does it capture the conversation context for the team?

The "says I don't know" rule is the right default. For UK shops, one thing I'd test: a lot of small-business returns pages say things like "no refunds after 14 days" or "faulty items repaired only", which can clash with the Consumer Rights Act 30-day right to reject faulty goods. If the uploaded policy is narrower than the law, does the assistant just repeat the policy, or can the Grounding Report flag answers where the shop's own wording might not hold up?

The Grounding Report is a smart way to earn trust before go-live. When a customer's docs change later (new prices or policies), how does the assistant pick up the update, and does a fresh Grounding Report get produce

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This looks really useful! Having AI pull answers directly from business documents could save a lot of time. I like the human handoff option too.

The "never invents prices/policies + Grounding Report" framing is the right wedge — hallucinated answers are exactly what kills support bots in production. Two things I'd dig into: how do you resolve conflicting sources (an outdated FAQ vs a newer policy page), and does the "pass to your team" handoff carry the conversation context plus the sources already checked, so the human isn't starting cold?

good products Really impressive tool! The biggest hurdle with AI customer support has always

Looks great! Simple, easy to read

The Grounding Report is a smart touch. Being able to see how the assistant was tested and where each answer came from makes this feel much more trustworthy than a typical AI support bot. I also like that it hands off questions when the source material doesn’t cover them.

The Grounding Report is a smart touch. Being able to see how the assistant was tested and where each answer came from makes this feel much more trustworthy than a typical AI support bot. I also like that it hands off questions when the source material doesn’t cover them.

its very nice application to people

Providing customer support based on a company's own documents sounds practical. How does BAIS Agent keep its knowledge up to date when documents change, and can businesses review unanswered customer questions to improve their support content?

Refusing to invent a price or returns policy is the right default for small-business support. The Grounding Report is what I’d actually want before putting a bot live. One practical question: when a FAQ and a newer policy page disagree, which source wins — and does the human handoff include both the chat and the sources already checked?

Congrats on the launch, Richie! The Grounding Report showing every test question, answer and source is a smart way to build trust with small business owners who worry about chatbots inventing policies. Have you considered letting customers flag a wrong answer directly from the widget so it feeds back into that report?

Congrats on the launch, Richie! The Grounding Report showing every test question, answer and source is a smart way to build trust with small business owners who worry about chatbots inventing policies. Have you considered letting customers flag a wrong answer directly from the widget so it feeds back into that report?

The Grounding Report is what impressed me most. Small business owners don't trust a chatbot because they can't see what it will say, and handing them every test question, answer and source turns that into something they can check before it goes live. For the trades use case, how does it handle something like 'roughly what does a roof repair cost' when the owner's docs only list ranges? Does it give the range with a caveat, or hand it straight to the team?

good potential .will try it out for my website.

The “I don’t know” feature is what sets this apart for me. Most chatbots just make something up when they don’t have the answer, and that’s exactly how you lose a customer’s trust - one wrong refund policy and they’re gone. Quick question: when BAIS hands off to the human team on WhatsApp, does the agent pass along the full conversation context so the customer doesn’t have to repeat themselves?

The Grounding Report is the part that stands out: showing every test question, the answer and its source gives a business owner a real reason to trust the bot before it talks to customers. The "I don't know" handover to a human is a good call too. For WhatsApp, how does the handover work in practice? Does your team get the full conversation so the customer doesn't have to repeat themselves?

24/7 support from docs is the real win here - no more queueing users for live chat. The challenge is usually training the model on proprietary content, but this looks like it handles that workflow cleanly. Worth testing if you have SaaS or internal tool documentation that gets repetitive questions.

Looks great! Simple, easy to read

This looks like a useful solution for businesses that want to provide reliable customer support around the clock. I especially like the focus on answers grounded in actual company documents and the Grounding Report for transparency. The ability to hand off unanswered questions to a human team is also an important feature. Great work by the B.A.I.S. team!

Interesting approach to AI-powered customer support! I like how BAIS Agent focuses on answering from a business’s own documents and policies rather than relying on generic responses. The option to hand off unanswered queries to a human team is especially valuable. Looking forward to seeing how it performs in real-world customer interactions!

Interesting solution! Using business documents to deliver accurate customer support responses could save teams a lot of time. I especially like the human handoff feature. How does BAIS Agent handle questions when the uploaded documents don't contain a clear answer?

Love that it refuses to invent prices or discounts and hands off to a human instead. That's the failure mode that scares most shop owners. How does the handoff work on WhatsApp: does the customer stay in the same chat with a staff member, or get a separate ticket/email?

I like how BAIS Agent focuses on accurate, document-based responses rather than generic AI answers. The order tracking and WhatsApp integration are especially useful for customer support. From a growth marketing perspective, I'm curious: does it also provide analytics on customer questions, missed inquiries, or potential leads? These insights could help businesses improve both customer experience and conversions.

Really smart approach here—the biggest hurdle for small businesses deploying AI agents is the fear of hallucinations or leaked pricing/discounts. Built-in hijacking protection and clear fallback to human agents address those exact pain points. The self-hosted option via local private servers is a big plus for data privacy too.

The Grounding Report is a great idea: showing the source for every answer builds real trust. Making the bot say "I don't know" instead of guessing is exactly what small businesses need. Do you re-test the assistant automatically when the documents change?

I like how BAIS Agent focuses on accurate, document-based responses rather than generic AI answers.but can u tell me how many agents are working ?

the best project, like how BAIS Agent focuses on answering from a business’s own documents

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The Grounding Report is a fantastic trust mechanism because hallucinated pricing or terms is the number one reason small businesses hesitate to deploy automated support. How does BAIS handle document updates when product policies or pricing change, is it an automatic re-index or a manual file re-upload?