An AI agent is only as good as what it knows. Training it well — on your real services, prices, and policies — is the difference between a helpful assistant and a frustrating bot.
- Feed the AI your actual services, prices, policies, and FAQs — not generic content.
- Test with real customer questions and correct the misses.
- Treat training as ongoing: every week of conversations makes it sharper.
Step 1: Gather your knowledge
Collect what your best staff member knows: services, prices, opening hours, booking rules, policies, and the questions customers actually ask. This is the AI's foundation.
Step 2: Load and structure it
Organize the knowledge clearly — by service, by FAQ, by policy. Clear structure helps the AI retrieve the right answer instead of guessing.
Step 3: Test with real questions
Ask the AI the messy, real-world questions your customers send — including dialect and edge cases. Note where it's wrong or unsure.
Step 4: Correct and refine
Fix the misses, add the missing answers, and set clear rules for when to hand off to a human. Repeat until accuracy is solid.
Keep a running list of "questions the AI couldn't answer." That list is your best training material — it's exactly what real customers want to know.
Step 5: Keep improving
Training isn't one-and-done. Review real conversations weekly, add new answers, and the agent gets more accurate over time.
Prefer it done for you?
DrLead loads your business knowledge, tests it, and tunes the agent for you — then keeps improving it from real conversations, so you get accuracy without the work.