Prove the outputs are right before you rely on them
An agent that sounds confident and is quietly wrong is worse than no agent at all. Before anything goes live, we validate that its outputs are correct, safe and within the limits you set. We check the answers against ground truth, stress the edge cases, and confirm the guardrails hold, so you can trust what it does.
Everything included,
nothing bolted on.
Every build starts with a fixed-scope conversation, no surprise line items after the fact.
- Output accuracy validation
- Ground truth comparison
- Guardrail and limit testing
- Edge and adversarial cases
- Safety and refusal checks
- Confidence and reliability read
- Sign off before go live
- Ongoing revalidation
FAQ
We compare agent output against known correct answers, confirm the guardrails hold under pressure, and push tricky and adversarial inputs to see where the agent breaks.
Validation is specifically about proving the outputs are correct, safe and within the limits you set before go live, rather than the ongoing test coverage across the wider system.
We test that it actually does. Guardrail and limit testing confirms the agent refuses what it should, stays inside its limits and hands to a human at the right points, even under pressure.
Both. There is a sign off before go live, and ongoing revalidation after, so go live and every stage after it is a decision backed by evidence rather than a one time check.
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You put the agent live knowing its outputs have been proven correct and safe, so you are relying on tested evidence rather than a hope that it usually gets it right.
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