Cite as: Real Problem AI problem “How do I check that my AI agent actually did what it told the customer?”. Opportunity score 7.8 out of 10 (severity 8, AI feasibility 9, market signal 7, competition gap 7). Category AI / Agents. Trend Agents. Source signal: r/AI_Agents "How do you check that the agent actually did what it told the customer?", 4 November 2026.. Canonical URL: https://www.realproblem.ai/idea/how-do-i-check-my-ai-agent-actually-did-what-it-told-the-customer.
How do I check that my AI agent actually did what it told the customer?
A booking or support agent tells the customer "you're booked" while the calendar or CRM call behind it failed, so the customer leaves happy, the error sits in a log, and nobody finds out until the customer turns up for an appointment that does not exist.
Who has it: Agencies and small teams running AI agents for clients on bookings, lead follow-up and support, plus businesses that put a chat or voice agent in front of customers.
- Severity8/10
- Feasible today9/10
- Market signal7/10
- Competition gap7/10
Heard in public
“For example, the agent says “you’re booked for Tuesday at 10”, but the calendar call failed. The customer is happy, the logs show an error, and nobody connects the two until Tuesday.”
Quoted word for word from the public post linked below. Nobody submitted it to Real Problem AI.
r/AI_Agents "How do you check that the agent actually did what it told the customer?", 4 November 2026.What nothing does yet
A drop-in checker that reads each conversation, pulls out every promise the agent made (a booking, a refund, a callback), confirms it against the real calendar, CRM or ticket system, and alerts a person before the customer finds out, with one setup that works across many client accounts.
Tools that solve this
3 named so far, and where each one stops.
- Confirm only from the tool result
Replies suggest building the confirmation message from the calendar response (event ID, time, timezone), which each builder has to wire into every agent and every tool by hand.
- Scheduled promise versus record checks
A home-made job that compares what each conversation promised against the calendar or CRM and alerts a person on a mismatch; it works but has to be rebuilt per client.
- Agent QA vendors
A few new QA tools check agent actions against CRM or case records, but they are early and tied to specific stacks.
How you might build it
- 01Conversation logs from chat and voice agents
- 02LLM extraction of promised actions
- 03Calendar, CRM and helpdesk APIs
- 04Scheduled reconciliation jobs
- 05Slack, email and SMS alerts
#NOV80 · Canonical URL: https://www.realproblem.ai/idea/how-do-i-check-my-ai-agent-actually-did-what-it-told-the-customer