Validate an agent for production
Take your agents live,
with the proof to back it
Your risk committee signs off on a report that shows what the agent actually does, before launch and at every new release.
Faster go-lives, with peace of mind
The risk committee reads a report requirement by requirement, with a clear signal: ready, needs review or not ready. It decides on facts, in a single read.
Requirements guide the build from the start, and every gap comes with a prioritized fix: your AI factory gets it right the first time.
New model, new instruction: every release reruns the tests in your CI pipeline, and a production sample is reassessed at regular intervals.
Your limits, tested on the agent as it runs
Your requirements become tests
Your policies, your business limits and your industry's regulations become technical tests specific to your agent, reproducible from one release to the next.
Mankinds evaluates the real agent
Conversations where the user insists, rephrases and works around, data extraction attempts, tool calls checked against the expected actions.
The committee decides
The report links each requirement to its test and its result, with a go-live signal. The decision stays with the committee.
The questions we get asked
We already have AI governance.
Our proof feeds your process and your governance tools: they gain a check on the real system.
Our security team already tests our agents.
Mankinds complements those tests: it produces the compliance proof and shows that your guardrails meet your requirements.
Yet another tool to integrate.
Mankinds plugs into what you already run: traces, tickets, CI pipeline.
Do you tell us whether we comply?
Mankinds provides the proof; the judgment stays with your teams.
Build trust with your AI
A pilot on your most exposed agent: your top-priority requirement, success criteria set with your committee, all the way to the report.