The seven pillars of enterprise AI governance.

PILLAR 01

Strategy & Capital Allocation

AI thesis, multi-year investment cadence, board-approved allocation discipline, alignment of AI capital to enterprise risk appetite.

Signals

• -Board-approved AI strategy
• -Capex disclosure
• -Portfolio allocation policy

PILLAR 02

Risk & Controls

Model risk frameworks, change control, third-party AI exposure, scenario analysis, and the operational integrity of risk processes.

Signals

• -Model risk inventory
• -Change control logs
• -Third-party AI register

PILLAR 03

Disclosure

Quality, frequency, and consistency of disclosures to boards, investors, regulators, and the public.

Signals

• -Annual report sections
• -Proxy disclosures
• -Regulator filings

PILLAR 04

Accountability

Named executive ownership, escalation paths, incident response, and consequence management.

Signals

• -Executive scorecards
• -Incident logs
• -Audit committee minutes

PILLAR 05

Oversight

Board cadence, committee structure, independent review, and the operating model of governance bodies.

Signals

• -Committee charter
• -Meeting cadence
• -Independent reviewer scope

PILLAR 06

Agent Operations

Agent inventory, autonomy thresholds, kill-switch readiness, observability, and incident handling for autonomous systems.

Signals

• -Agent registry
• -Autonomy thresholds
• -Kill-switch tests

PILLAR 07

External Engagement

Standards participation, regulatory dialogue, public commitments, and stakeholder trust posture.

Signals

• -Standards bodies
• -Regulator engagement
• -Public commitments