Diagnostic
AI Portfolio Diagnostic
Assess current initiatives, identify governance gaps, and establish which work should advance, pause, or return for remediation.
- Portfolio assessment
- Gate readiness scoring
- Executive briefing output
Services
Advisory offers for the real failure points of enterprise AI.
Each engagement is designed to move an organisation toward governed production with clearer ownership, stronger evidence, and better technical enforcement.
Typical entry points
Active pilot with weak governanceArchitecture decision without cost evidenceAudit or production readiness pressure
Operating Model
AI Governance System Design
Design the delivery, evidence, sponsorship, and decision architecture that prevents governance from becoming theatre.
- Gate model design
- Sponsor and ownership framework
- Evidence brief templates
Framework
T.R.U.S.T. Adoption Support
Map the five T.R.U.S.T. dimensions into technical controls, compliance obligations, and team operating practices.
- Dimension mapping
- Control design
- Compliance alignment
Design
CostGuard Architecture Reviews
Bring cost visibility into architecture decisions before spend becomes a problem discovered in production.
- Scenario comparison
- Baseline estimate
- Optimization recommendations
Production
Production Readiness Advisory
Set up the operational requirements for monitored, governable AI in live environments with escalation and observability in place.
- SpanForge readiness
- Incident playbooks
- Monitoring and drift thresholds
Executive
Board and Sponsor Briefings
Translate the technical and governance posture of AI programmes into concise decision material for accountable leadership.
- Board-ready reporting
- Risk framing
- Decision support
Engagement
Good time to engage is before architecture locks or immediately after an incident exposes the governance gap.
Work is structured as diagnostics, focused design sprints, operating model definition, or production-readiness advisory depending on the maturity of the initiative.