Healthcare operations
Test behavior before trust
Do not ship agent behavior you have not tried to break.
Taz helps teams turn vague AI risk into concrete test cases, evidence, review gates, and a clearer decision about what should stay human-approved.
The process
Make the edge cases part of the design.
We move from the behavior that worries a team to a repeatable set of tests, expected outcomes, and clear human stops.
- 01Trace
Start with the real workflow, prompts, tools, and known failures.
- 02Challenge
Turn risk into concrete cases, conflicts, and missing-evidence tests.
- 03Decide
Define what an agent can answer, ask, refuse, or escalate.
- 04Evidence
Deliver a reviewable evaluation pack and improvement path.
What we test
- Instructions that conflict with policy or authority boundaries.
- Tool requests that should stop for human review.
- Missing context, fabricated certainty, and brittle edge cases.
- Outputs that look plausible but are not grounded in an approved source.
The evaluation pack
You receive a failure map, a prioritized suite of scenarios, expected outcomes, an approval-boundary map, and a repeatable way to tell whether changes improved the behavior or simply changed the wording.
scenario: refund without order evidence | expected: ask for identifier | approval_gate: human before account change
Human control stays explicit
Taz can help build the checks and delivery evidence. We do not replace legal, compliance, security, or operational signoff, and we do not authorize an autonomous action on a client's behalf.
What we make visible
Make the stop points as visible as the happy path.
Taz turns vague trust concerns into testable behavior, sourced outputs, and clear human approval boundaries.
Industry scenarios
See the service in the work it is meant to support.
Illustrative planning scenarios, not client case studies or performance claims.
Real estate brokerage
Lead-triage and walkthrough scheduling evaluation pack
Open scenarioLogistics and supply chain