Most AI system launches have no independent verification. The engineering team believes the system works. Legal has reviewed the contracts. But nobody has produced a documented, independent assessment of whether this specific system is safe to deploy at scale — and what fails if it isn’t.
Designed for boards, general counsel, compliance leaders, and product teams that need a deployment decision record credible enough for enterprise buyers, regulators, and internal oversight.
These aren’t hypothetical. They reflect the patterns that emerge when deployment approval is assumed rather than verified.
The deliverable is designed to survive board questions, procurement scrutiny, and regulator review. It documents what was reviewed, what was found, and what conditions must exist before launch.
That distinction matters. High-stakes deployment approval depends on evidence, accountability boundaries, and a written rationale that stands on its own after the meeting ends.
Clear scope prevents scope creep. This is what you get — and what this engagement is not.
These are produced regardless of tier. Tier determines depth and coverage of complex systems.
Tier is determined by system complexity, number of use cases covered, and regulated sector requirements. All tiers deliver the same six core deliverables.
All engagements require a signed scope agreement and a $3,500 deposit to reserve capacity. Deposit is credited toward the full engagement fee.
We don’t produce ambiguous language designed to avoid accountability. The deployment recommendation is explicit.
A No-Go verdict with a clear remediation roadmap is more valuable than a rubber stamp. Teams that learn what needs to change before launch avoid the much higher cost of post-launch incidents.