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 an architecture verdict, permission model, evaluation findings, 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 deployment decisions
- Safer authority
- Reproducible findings
- Clear strengthening priorities
04 Relevant engagements
Start with the uncertainty that matters most.
These services can stand alone or become a sequence from assessment through implementation.
Systems Assurance Review
Harden the architecture, permissions, observability, and recovery paths for technology trusted with consequential work.
See deliverablesFractional Technical Architect
Put senior architecture, product judgment, AI implementation guidance, and ruthless technical triage behind the team without hiring an entire department.
See deliverablesIntegration & Automation Pilot
Connect the systems that hold customers, orders, inventory, jobs, invoices, documents, and operational truth—then automate the handoffs that should not require another person.
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