Applied Governance produces structured, evidence-based diagnostics grounded in the AGR framework. Each engagement identifies gaps in oversight, controls, documentation, disclosure, and accountability - and outlines what readiness requires.
Mandate
Most organizations have AI policy. Far fewer can produce the evidence a board, regulator, or investor would expect to see behind it. Applied Governance closes that distance.
Every engagement produces a structured findings file, a gap report against the AGR framework, and a sequenced readiness roadmap. Findings are evidence-linked, board- presentable, and externally defensible.
Applied Governance is structurally separated from Alpha Ratings. A diagnostic does not produce, influence, or imply an AGR rating.
Engagement Lifecycle
Define perimeter
Identify in-scope business units, AI systems, agents, and governance bodies.
Collect & test
Structured evidence collection across the seven AGR pillars; interviews and document review.
Assess & calibrate
Findings rated by pillar, peer-calibrated, and reviewed by an independent panel.
Sequence & engage
Board-presentable roadmap with sequenced remediations and ongoing monitoring options.
Deliverables
Top-line readiness assessment against the AGR framework, calibrated to peer cohort.
Pillar-by-pillar findings, each tied to underlying evidence and recommended remediation.
Evaluation of AI-related disclosures against board, investor, and regulator expectations.
Sequenced operating model changes - committee cadence, reporting flows, escalation thresholds.
Inventory, autonomy thresholds, kill-switch readiness, and incident response across deployed agents.
Optional ongoing review with quarterly refresh and pre-launch Alpha Terminal signal coverage for approved early-access clients.