A focused diagnostic pilot is a bounded review of one AI workflow before broader deployment.
It is designed to help engineering, product, and risk teams examine whether observable claims, evidence, and workflow behavior align.
Pilot scope
A typical pilot includes:
• one defined AI workflow
• agreed review boundaries
• observable workflow materials
• bounded synthetic review scenarios
• structured candidate-discrepancy observations
• engineering review questions
• recommended next review steps
What we review
Examples may include:
• evidence handling
• workflow scope
• completion claims
• escalation behavior
• handoffs
• recovery paths
• observable workflow consistency
What we do not review
Unless explicitly included within scope, the pilot does not require:
• model weights
• private chain-of-thought
• hidden prompts
• source code
• production infrastructure
• customer secrets
• proprietary implementation details
Typical workflow
1. Introductory discussion
2. Define review scope
3. Receive agreed materials
4. Conduct observable-only review
5. Apply bounded synthetic review scenarios
6. Produce structured review artifacts
7. Engineering review and follow-up discussion
Pilot outputs
A pilot may produce:
• candidate-discrepancy memo
• workflow observations
• evidence-handling observations
• boundary observations
• engineering review questions
• recommended next steps
Boundaries
SpecShift does not certify AI systems. SpecShift provides observable-only review support for human decision-makers. We are here to help AI answer for what it says.
The pilot is not a benchmark, compliance audit, runtime monitor, deployment approval, or guarantee of AI safety.
Organizations remain responsible for deployment decisions. SpecShift provides structured review artifacts to support—not replace—engineering, product, risk, and governance decision-making.