How to train an AI assistant with your business information
A step-by-step method to teach products, policies, limits and style without relying on rigid scripts.
In a nutshell
Training isn't uploading hundreds of chats. It's defining reliable sources, behavior rules, examples of good answers and clear limits for each type of inquiry.
Separate knowledge from behavior
Knowledge answers what the business sells, how it delivers and which policies apply. Behavior defines how it greets, how much it asks, when it summarizes and when it hands off.
Keeping them apart lets you update a price without changing the tone, or adjust the style without touching commercial rules.
- Knowledge: facts and policies.
- Behavior: tone and sequence.
- Authority: what it can confirm.
- Escalation: when it hands off.
Use representative examples
Pick conversations that show frequent situations and different ways of asking the same thing. Remove personal data before reusing them.
Negative examples help too: they explain which answer would be confusing, aggressive or overconfident.
- Clear inquiry.
- Incomplete inquiry.
- Objection or comparison.
- Out-of-scope request.
Define operational limits
The assistant needs to know what it must not do. For example, don't confirm stock without a current source, don't invent discounts and don't make professional decisions reserved for a person.
Each limit should point to a useful way out: ask for a piece of data, offer follow-up or hand off.
- Don't invent missing information.
- Don't reveal internal content.
- Don't promise unconfirmed actions.
- Don't block access to the human team.
Validate before expanding
Build a set of test questions and rerun it whenever the catalog or a policy changes. Look at the answer as well as the source used and the decision to hand off.
Volga lets you test behavior and adjust knowledge and policies in plain language. Turn on each new scope after reviewing real results.
- Factual accuracy.
- Clarity and tone.
- Data requested.
- Correct handoff.
Frequently asked questions
Questions about this guide
Do you need to code to train the assistant?
Not necessarily. A platform can let you load sources and rules in plain language, although integrating real-time data may require extra setup.
Should you use real chats as examples?
Yes, if they are representative and anonymized. Personal data or information the assistant isn't authorized to use should never be exposed.