AI agent audit
Your AI agent is running. Is it giving the right answers?
Most businesses can see that their chatbot or AI agent replied. Few can say whether the reply was right, or what the wrong ones cost. An audit tests the agent against real questions, measures how often it is right, finds the answers that sound confident and are wrong, and leaves you with checks that keep running.
Sounds familiar?
Where the hours go today
- Nobody knows how often the agent is wrong, only that it answers.
- Customers occasionally get confident answers that aren't true.
- Leads are marked qualified that a salesperson would have rejected.
- Every prompt change is tested by trying a few questions by hand.
How it works
The same job, before and after.
Test the agent on real conversations
A test set is built from your real conversations and edge cases, with the answer a good employee would give. The agent is run against it and every answer is graded: correct, wrong, made up, should have escalated.
By hand today
- A few questions tried by hand
- Problems found by customers
With automation
- Test set from real cases
- Every answer graded
- Accuracy and cost of errors
Monitoring that keeps running after the audit
The same tests run on every prompt or model change, and a sample of live conversations is checked each week. Drops in accuracy or jumps in escalations raise an alert.
By hand today
- Change the prompt and hope
With automation
- Prompt or model change
- Regression tests run
- Alert if accuracy drops
What you get
- Review of the agent's setup: prompts, knowledge sources, tools and permissions
- A test set built from your real conversations and edge cases
- Accuracy, made-up answer and escalation rates, with examples
- A prioritised fix list: grounding, guardrails, handoff rules, permissions
- Automated regression tests and weekly sampling of live conversations
Built so it doesn't embarrass you
- Customer data used for testing stays in your environment or is anonymised.
- Findings are explained in business terms: what a wrong answer costs, not just a score.
- Security checks for prompt injection and over-broad tool permissions are included.
Questions
Frequently asked
Which agents can you audit?
Any agent you can send test questions to: website chatbots, support agents, lead qualification bots, voice agents with transcripts, internal assistants, whether built on a platform or custom code.
What does an audit deliver?
A short report with the numbers (how often the agent is right, wrong, makes things up or fails to escalate), real examples of each, the cost in business terms, and a prioritised list of fixes. Plus the test set, so you can rerun it.
Can you fix the problems too?
Yes. Most fixes are in grounding (what the agent is allowed to answer from), handoff rules and tool permissions, and are usually done within a week or two after the audit.
Not sure this fits your business?
Answer eight short questions about how your week looks. Within two working days you get a written answer: what can be automated, how it would work and roughly what it would cost. Free, no call needed.
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