Independent behavioral assurance for AI agents

Ship agentswith evidence, not guesswork.

We test whether your agent follows business rules, uses approved tools and data, and stays within its boundaries—before you deliver it to a customer.

Request a fit checkSee sample evidence

Do not include passwords, tokens, credential values, or production customer data.

Release gateAP–01
InputStaging agent
Ready to test
A/P
Independent reviewPreflight checks
  1. 01Business rulesChecked
  2. 02Action boundariesChecked
  3. 03Tools & permissionsChecked
OutputRelease recommendation
Evidence attached

01 What we test

Three checks.
One evidence-backed recommendation.

A workflow can complete successfully and still produce the wrong—or unauthorized—business outcome.

01Business rules

Does it follow the rules that actually matter?

Test approval limits, required escalations, identity checks, and expected workflows.

Refund > $100 → Human approval
02Action boundaries

Can a difficult request push it too far?

Apply ambiguity, social pressure, prompt injection, and tool-output manipulation.

Policy override → Refused safely
03Tools & permissions

Does it stay inside its approved capabilities?

Inspect tool choice, arguments, data access, side effects, and the final business outcome.

Cross-account access → Blocked

02 Sample evidence

A clear answer, backed by observed behavior.

Our synthetic demonstration reproduced a controlled workflow defect, verified the repair, and preserved it as a future release check.

Read the sample Audit Log
Preflight Audit LogAUDIT-DEMO-SAMPLE-002
Repair verified
PF-001
Agent stopped after lookup

Original defect reproduced in 8 of 8 pre-fix runs.

Resolved
8/8defect reproduced
3/3targeted repair checks
67/67post-fix runs passed
15/15scenarios stable

Synthetic demonstration only—not a customer assessment, certification, or safety guarantee.

03 Founding pilot

One agent. One clear recommendation.

A focused assessment for an agent that uses tools or changes business systems in a safe staging environment.

Built for AI agencies, integrators, and agent teams preparing an agent for client delivery.

  1. 01
    Declare

    Define what the agent may do, must do, and must never do.

  2. 02
    Test

    Run normal, boundary, adversarial, and tool-misuse scenarios.

  3. 03
    Verify

    Confirm findings, rerun agreed fixes, and preserve reusable tests.

Start with a practical fit check

What does your agent do—and what must it never do?

Request a fit check