Train AI on your content
Your knowledge base, turned into an agent
A support agent is only as good as what it knows. Point ChatFlo at your website, help centre, or documents and it answers from your material — with the boundaries you set.
How does ChatFlo help you train ai on your content?
ChatFlo trains an AI agent on your own material — website pages, help centre articles, and uploaded documents — so answers are grounded in content you approved rather than general knowledge. You control what it can answer, review what it said in the shared inbox, and update the knowledge base whenever your policies change.
The problem
Why this is hard to solve by hand
Generic AI gives generic answers
A model answering from general knowledge will confidently describe a returns policy you never wrote. That is worse than no answer.
Your knowledge is scattered
Some of it is on the site, some in a help centre, some in a document one person maintains. Customers get different answers depending on who they ask.
Policies change and answers go stale
When shipping terms change, every place the old terms are written becomes a source of wrong answers.
How ChatFlo does it
An agent that answers from your docs, not the open internet.
Point it at what you already have
Crawl your website or help centre, or upload documents directly. There is no requirement to rewrite your content into a special format first.
Answers stay grounded
Responses come from the material you supplied, so the agent reflects your actual policies rather than plausible-sounding defaults.
You set what it may answer
Define the boundaries. Topics outside them are escalated to a human instead of attempted.
Review and correct
Every conversation is visible in the shared inbox. Where the agent struggled, that is usually a gap in your content — fix it once and every future answer improves.
Build an agent that knows your business
Point it at your existing content and review what it says — the gaps it escalates tell you exactly what to document next.
Frequently asked questions
Your website, help centre pages, and uploaded documents. Most teams start by pointing it at the site they already have rather than writing anything new.
Update the knowledge base when your policies change. Because answers are grounded in that content rather than memorised, corrections take effect without retraining anything.
Yes, and that is the point of the boundaries. Topics you have not approved are escalated to a person rather than attempted, which is the behaviour you want on anything sensitive.
Every conversation appears in the shared inbox with full history. Reviewing them is the fastest way to find gaps in your documentation.
Further reading
Go deeper on this topic
How to Train an AI Chatbot With a Custom Knowledge Base (So It Stops Making Things Up)
An AI chatbot is only as good as what you feed it. Here is how to structure your knowledge base so the bot answers accurately, and cites its sources instead of inventing them.
Read the guideTuning an AI to Sound Like Your Brand (Without Writing 50 Prompts)
You don't need a 2,000-word prompt to get AI to sound like your brand. You need five examples and a short style sheet.
Read the guideBuilding a Self-Service Help Center That AI Can Actually Use
A good help center serves two audiences now: your customers and your AI. Here is how to build one that both can actually use to resolve questions on their own.
Read the guideMore solutions