"I'm not sure, let me check with the team": why a good agent says it, and how to make it say it less
New owners often ask why the agent said "I'm not sure" to a question they think is obvious. The short answer is that the agent did not have the information, and it chose honesty over invention. That choice is the most important thing about it, and it is also fixable in ten seconds.
Quick answer
A well-designed AI agent answers only from the knowledge you give it. When a question has no matching knowledge, it says it is not sure, offers a handover, and logs the question for you to teach. The alternative, an agent that always answers, invents prices, policies and promises that you are then bound by. To reduce "not sure", add the missing facts; every occurrence appears in ReplyKit's unanswered-questions list.
Why it happens
Language models are fluent; that is the danger. Asked "do you do Sunday appointments?" with no information, a model will happily say yes. A grounded agent instead searches your knowledge for something relevant, finds nothing about Sundays, and declines to guess. In ReplyKit, that decline is a specific behaviour: say you are not sure, offer a person, and write the question to the unanswered list. The customer is never stuck, and you are never on the hook for an invented answer. Our terms make clear that what the agent says is said on your behalf, which is exactly why guessing is not allowed.
The four usual causes
- The fact is not written anywhere. Sunday hours live in the owner's head. Write them down.
- The fact is written badly. A price in a photo, a policy split across two pages, a table that lost its headers. See writing a price list the agent can read.
- The question uses different words. "Do you take walk-ins?" versus a knowledge note that says "appointments only". Add the customer's phrasing to the answer.
- The question is genuinely outside scope. "Can you recommend a good dentist nearby?" Handing over is correct.
Making it say it less
Open the unanswered-questions list weekly. Each entry is a customer's exact words. Type the answer once; it becomes knowledge and the next customer gets it. Ten minutes a week drives the rate down fast, and the teach loop guide covers the routine. Then test the seeded questions in the test chat with different phrasings, because a customer will never ask the way you wrote it.
When you should be glad it said it
- A price for something you have not listed. The alternative was a made-up number you would have to honour.
- A medical, legal or financial question. The alternative was advice you are not licensed to give.
- Anything about a specific customer's order, case or account it cannot see.
- A question with an ambiguous answer where a wrong guess costs a customer.
An agent that never hedges is not smarter; it is unsupervised. The hedge is the supervision.
Frequently asked questions
Why does my AI agent keep saying it is not sure?
Because the answer is not in its knowledge, or is written in a way it cannot use. Add or rewrite the fact; each occurrence is logged for you.
Can I make it answer anyway?
Not in ReplyKit, and you would not want to. An agent that answers without knowledge invents prices and policies you are then bound by.
What happens to the customer when it is not sure?
It offers a handover, so the customer reaches a person, and the question goes to the unanswered list.
How fast can I fix it?
About ten seconds per question from the unanswered list. Ten minutes a week keeps it near zero.
Is 'not sure' ever the right final answer?
Yes, for out-of-scope, regulated or customer-specific questions. Handing over is correct there.
Turn every 'not sure' into an answer
The unanswered list shows exactly what to teach. 7-day free trial.
Sources and further reading
- ReplyKit Terms of Service, section 4 · statements by the agent are made on your behalf
- ReplyKit Acceptable Use Policy · what we refuse to automate
ReplyKit is an independent product and is not affiliated with or endorsed by Meta or WhatsApp. This article is general guidance for running a small business, not legal, financial or regulatory advice.