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Orvenant
Orvenant

Evaluating an AI customer assistant

Evaluating an AI customer assistant

Evaluate an AI customer assistant against representative questions, access boundaries and escalation behavior. Answer fluency is not enough to establish reliability.

Define a bounded task

Specify approved knowledge sources, supported topics and actions the assistant may take. Keep sensitive decisions and unsupported requests on a clear human path.

Build a useful evaluation set

Include ordinary questions, incomplete context, conflicting information and requests outside scope. Record the expected behavior, not only a preferred sentence.

Check permissions and actions

Test whether the assistant can reveal another customer's data or perform an action without appropriate authority. Tool access must enforce the same boundaries as the rest of the application.

Repeat after change

Models, prompts and knowledge can change behavior. Re-run the evaluation and monitor real failures, with a way to restrict or disable the assistant if needed.

Sources and further reading

Sources support the stated technical context. The planning recommendations are Orvenant's assessment.

BUILT ON COMMITMENT

Bring us the problem. We’ll work through the next step.

Share what exists today and what you want to change. We can discuss the scope, dependencies and a practical way forward.