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Stress-test everything. Ship with certainty.
Before an assistant touches your operations, it's rehearsed end-to-end in simulation (happy paths, vague answers, complaints, negotiations) with boundaries respected and graceful handoffs to humans, by design.
Why it exists
Confidence is earned before launch, not after.
Most AI failures in production were predictable: an unhandled edge case, a boundary that was never tested, a counterparty who asked the one question the demo never covered. Simulation makes those failures happen safely, in rehearsal, where they cost nothing.
Evaluation case libraries
Assistants run against curated case sets for your domain, including the awkward, ambiguous and adversarial ones.
Simulated counterparties
AI counterparties play the customer, the supplier, the site contact (vague, impatient, off-topic) so the assistant meets reality early.
Escalation triggers
Pricing, legal, medical, out-of-scope: defined triggers hand the thread to a human operator with full context, every time.
Decision reasoning logged
Every simulated step carries its reasoning, producing an audit record your compliance team can act on before sign-off.
Deployment gates
Assistants only graduate to production when simulation results clear the bar you set. No vibes-based launches.
Re-tested on every change
New model, new prompt, new tool: the full case library runs again, so improvements never quietly break what worked.
In rehearsal
The moment that matters.
A scheduling assistant collects everything it needs for a turbine inspection, until the counterparty asks for a commercial favour. That's the test: it holds its scope and hands the thread to a human, with the full context attached.
See your own edge cases rehearsed →How it works
Author. Rehearse. Gate.
Author cases
We build the evaluation set with your team: the real scenarios, the known traps, and the boundaries the assistant must never cross.
Rehearse end-to-end
Simulated counterparties run every case through the live assistant. Failures surface here, where they're free, instead of in production.
Gate deployment
Results are reviewed against the bar you set. Only then does the assistant graduate, and the same suite re-runs on every future change.