AI Agent Certification evaluates your agent against a governed Judgment Set — the operationalized intuition of proven experts — and produces a decision the company can defend: certified, or refused, with the evidence preserved.
Available now through a scoped design-partner engagement · one standard for humans and agents
The question enterprises are starting to ask
“Before this agent talks to our customers about money, health, or risk — what's the evidence it knows how to act?”
The Kataclyzim answer
An evaluation record against a governed standard — with a decision that can be refused, evidence preserved, and revalidation scheduled.
What gets proven — and what you receive
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Refusal behavior is scored, not penalized. An agent that recognizes distress or a boundary — and stops — is demonstrating readiness.
How it works
Certification is point-in-time, monitored, and revalidated — a model update, a new tool, or a prompt change triggers re-evaluation rather than a framed document going quietly stale.
First-party proof
The market is moving from capability to readiness: agents like Sable's Aidan prove AI employees are rapidly becoming capable. Katya sits further along that maturity curve — held to an expert-derived standard, evaluated, proved ready, and subject to revalidation. The same lifecycle applies to your agent.
Scope your agent
One defined agent, one job, one environment, one selected Judgment Set. You bring the agent and access to run it, the job and environment, your boundaries and escalation rules, and a named owner for the decision — anything missing is settled in the first session.