What is getting in the way.
- No acceptance criteria
- Unknown failure modes
- Permissions broader than the job
- No replay or audit trail
- Model changes without regression testing
AI evaluation and governance
Know what the AI can prove before giving it more power.
We convert trust into testable claims: what the system must do, what it must never do, what evidence it leaves, and who approves consequential action.
Teams with deployed or proposed AI systems that need a readiness verdict, permission model, evaluation evidence, or controlled route into consequential work.
What changes the operation.
- Architecture review
- Evaluation suite
- Adversarial testing
- Authority and escalation map
- Provenance and replay
- Monitoring and remediation roadmap
What the investment should create.
- Defensible readiness decisions
- Safer authority
- Reproducible evidence
- Clear remediation priorities
04 Relevant engagements
Start with the uncertainty that matters most.
These services can stand alone or become a sequence from assessment through implementation.
AI Assurance Review
Determine whether an AI system is accurate enough, controlled enough, and observable enough for the work it has been given.
See deliverablesFractional AI Architect
Give leadership and staff a coherent operating model for AI—connected to real implementation rather than a generic presentation.
See deliverablesAI Operations Build
Replace repetitive handoffs across email, documents, spreadsheets, software, customers, and managers with controlled operating flows.
See deliverablesStart with the bottleneck. We will identify the machinery.
No technical brief required. Tell us what is slow, expensive, fragile, private, or strategically important.
Send the problem