Frameworks
Named, citable frameworks for assessing and reducing enterprise AI deployment risk.
AI Deployment Risk Index
The AI Deployment Risk Index scores enterprise readiness across context, governance, evaluation, operations, and value alignment — identifying blockers that stall pilots before production go-live.
4-Layer Readiness Assessment
Assess readiness across context, decisions, actions, and outcomes layers.
Accelerator Maturity Model
Stages from ad-hoc pilots to governed production at scale.
Context Maturity Model
How mature your enterprise context infrastructure is for agent deployments.
Evaluation Maturity Model
Progression from manual QA to automated eval harnesses in production.
Governance Maturity Model
From policy documents to enforced agent guardrails and audit.
AI Ops Maturity Model
From launch-and-leave to 24/7 managed operations with SLAs.
Use Case Scoring Framework
Prioritise use cases by value, feasibility, and deployment risk.
FDE Operating Model
Roles, rituals, and accountability for embedded Forward Deployed Engineers.
Production Go-Live Gates
Quality gates that must pass before regulated AI reaches production.
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