What is the AI Board Governance Compass?

The AI Board Governance Compass is a proprietary assessment framework developed by Vela Board Advisors. It maps board readiness across 16 governance indicators and four dimensions: Individual (director AI literacy and personal accountability), Board (collective oversight capability), Organization (alignment between executive leadership and board-level AI signals), and Stakeholder (regulatory, insurer, and investor expectations). It produces a scored diagnostic that surfaces governance gaps and a priority queue for action.

What are board directors personally liable for in AI governance?

Board directors can face personal liability for AI governance failures including failure to exercise adequate oversight, approving misleading AI-related disclosures (AI washing), and failing to establish defensible governance processes. D&O insurance often does not cover AI-specific incidents, creating a gap between assumed and actual coverage that boards need to actively map.

How should boards oversee AI deployments?

Boards should establish a baseline of AI literacy among directors, create clear escalation pathways for AI risk, review fairness and bias testing practices, understand the insurance coverage architecture across D&O, cyber, and E&O policies, and maintain a documented governance record demonstrating active oversight. The AI Board Governance Compass provides a structured way to assess and improve across all of these areas.

What is AI washing and why does it matter for boards?

AI washing occurs when a company overstates the capabilities or use of AI in its products or communications. Directors who approve such communications without adequate scrutiny can face personal liability. Boards need the skills to identify AI washing risks in materials brought for approval.

Does D&O insurance cover AI governance failures?

Standard D&O insurance frequently does not cover AI-related governance failures in the way boards assume. Coverage gaps often exist at the intersection of D&O, cyber liability, and E&O policies. When an AI system causes harm, each insurance tower may claim the loss belongs to another, leaving boards exposed. Mapping this coverage architecture is a board governance responsibility.

What is the four-step Vela engagement model?

Vela engagements follow four stages: (1) Assessment, the AI Board Governance Compass maps readiness across 16 indicators and establishes a defensible baseline; (2) Workshop, a facilitated session built around the board's real risks and opportunities; (3) Simulation, a live AI governance scenario where directors make real-time decisions to build instincts; (4) Record, a structured governance record demonstrating active oversight to regulators, insurers, and shareholders.

AI Governance Glossary | Vela Board Advisors

AI Board Governance CompassFrameworks & Tools: Vela's proprietary assessment. It maps board readiness across 16 indicators and four dimensions, scored 1–5 with criticality weighting, and produces a governance record of where a board stands.
The Four DimensionsFrameworks & Tools: The axes the Compass measures: Individual, Board, Organization, and Stakeholder. Together they cover director readiness, collective oversight, executive alignment, and outside expectations.
Board SimulationFrameworks & Tools: An immersive scenario that puts directors inside a live AI governance decision before the real one arrives. Vela's catalogue includes The Green Light, a live AI deployment proposal.
Governance RecordFrameworks & Tools: Documentation that a board actively assessed and exercised its AI oversight. Increasingly the evidence regulators and insurers expect to see.
Fiduciary DutyLiability & Law: A director's legal obligation to act in the company's best interests, encompassing the duties of care and loyalty. AI decisions now fall squarely within it.
Standard of CareLiability & Law: The level of diligence expected of a reasonable director. For AI oversight, that standard is being redrawn in real time by regulators, insurers, and courts.
Caremark DutyLiability & Law: The Delaware doctrine holding directors liable for failing to put in place, and then monitor, systems to catch mission-critical risks. AI is fast becoming a Caremark risk.
AI WashingLiability & Law: Overstating what a company's AI actually does. Directors who approve misleading AI claims can face personal exposure under securities law and fiduciary duty.
EU AI ActLiability & Law: The European Union's risk-based AI regulation. Its obligations can reach the boards of any company operating in the EU market.
SEC AI DisclosureLiability & Law: Securities-law expectations that AI-related statements to investors be accurate. Misstatements approved by the board create director exposure.
D&O InsuranceInsurance: Directors & Officers liability cover. Many AI-related governance failures fall into gaps boards assume D&O already covers.
E&O InsuranceInsurance: Errors & Omissions, or professional liability cover. One of the towers that may dispute who owns an AI-related loss.
Cyber InsuranceInsurance: Cover for cyber incidents. In an AI failure, cyber, D&O, and E&O insurers can each argue the loss belongs to another.
Coverage GapInsurance: The space between insurance towers where an AI loss is claimed by none. Identifying it before an incident is a governance responsibility.
OversightGovernance Practice: The board's active monitoring of management's AI decisions, distinct from managing AI directly. The core of the director's role.
AI LiteracyGovernance Practice: A working, director-level grasp of AI: enough to ask the right questions and judge the answers. The Compass measures it at the individual level.
Escalation PathwayGovernance Practice: A defined route by which AI risks reach the board, with clear thresholds for what surfaces, when, and why.
Bias TestingGovernance Practice: Checking an AI system for unfair or discriminatory outcomes. Boards are rarely told what testing happened before deployment, and rarely know to ask.
AI Deployment ReviewGovernance Practice: A structured governance check before approving an AI system: the questions and red flags that separate defensible oversight from a liability gap.

The board's AI governance glossary.

From vocabulary to oversight.