Candid exchange
Private discussion with directors and executives facing comparable questions of oversight and accountability.
Council
A closed, invitation-only forum for directors and senior executives with direct responsibility for AI oversight. Members speak candidly, compare how their institutions are responding, and return to their boards with sounder judgment.
The responsibility
AI is moving faster than most institutions can govern it.
Boards are approving AI investment and deployment before there is settled practice for oversight. Directors still need to decide what belongs on the agenda, what evidence they can trust, and where accountability sits.
Alpha Council gives leaders a private setting to examine those questions with peers who carry the same responsibility.
Why members join
A private forum for consequential decisions.
The Council is built around the work directors and executives must do: challenge assumptions, compare standards of care, and make decisions they can defend.
Practice that holds up
Committee questions, reference materials, and benchmarks designed for use in board and executive meetings.
Perspective between meetings
Timely briefings help members understand how new developments affect oversight, risk, and accountability.
Member community
Experience in the room.
Members include directors and senior executives responsible for AI oversight across major institutions.
Maryam Banikarim
Board Director, Convener, C-suite Executive
OneSpaWorld / MaryamB
View profile
Jeff Berman
Chief Executive Officer, WaitWhat
Board and operating leadership
View profile
Gina Bianchini
Founder & CEO, Mighty Networks
TEGNA board director
View profile
Laura Desmond
Chief Executive Officer, Smartly
Smartly, Adobe, DoubleVerify & women's sports investor
View profileInstitutional range
Representing institutions that shape markets and society.
Members serve as directors and senior executives across public companies, institutional investors, insurers, technology companies, and public bodies.
Throughout the year
The Council meets when members have important work to do.
Private sessions, regional forums, an annual convening, and focused working groups give members several ways to take part.
Member meetings
A member case, an outside perspective, and a candid discussion of current board concerns.
Board Forums
Small, invitation-only discussions on the governance questions facing a particular market.
Council convening
A private gathering to review the year's work and set priorities for the year ahead.
Working groups
Members with relevant experience develop practical guidance on defined questions.
Between meetings
Work members can use.
Council discussions inform reference materials, committee questions, and benchmarks that members can adapt for their institutions.
Board Oversight of Agentic AI v1.2
A practical structure for board and committee oversight of autonomous systems.
Audit Committee AI Practice Benchmark
A peer view of charter language, reporting practice, and assurance scope for audit chairs.
AI Disclosure Reference for Annual Reports
A cross-jurisdiction reference for legal and investor-relations teams preparing AI disclosures.
Agent Accountability: Role, Record, Recourse
Clear expectations for ownership, recordkeeping, and escalation when AI agents are deployed.
Allocator Stewardship on AI Governance
Questions and voting considerations for allocators and stewardship teams engaging on AI.
Model & System Inventory Standard
A board-level inventory standard for models, agents, and third-party systems.
Working groups
Focused work on questions boards cannot defer.
Members contribute where their committee responsibilities or operating experience are most relevant.
Board Oversight of Agentic AI
Practical guidance for continuing board oversight of autonomous systems.
Audit Committee Practice
Model charter language, reporting practice, and assurance scope for AI.
AI Disclosure and Investor Engagement
A cross-jurisdiction reference for AI disclosure and investor engagement.
Agent Accountability
Standards for assigning responsibility, keeping records, and providing recourse.
Model and System Inventory
An inventory standard boards can use to understand models, agents, and third parties.
Insurer Underwriting of AI Risk
Shared definitions for underwriting and reserving against AI-related exposures.
AI in Audit and Internal Controls
Guidance on audit scope and control testing for business processes that use AI.
Membership
Membership reflects responsibility, experience, and fit.
The Council considers each candidate's direct responsibility for AI oversight, institutional context, and the perspective they would add to the membership.
- Inquiry
Share your mandate
Tell the secretariat where you hold responsibility for AI oversight.
- Confidential conversation
Meet confidentially
Discuss your experience, the Council's composition, and the perspective you would bring.
- Invitation
Join the Council
Qualified candidates are invited on a rolling basis and onboarded privately.
Questions
Qualification, participation, and confidentiality.
Alpha Council
Membership is by invitation.
Qualified directors and senior executives can begin with a confidential conversation with the Council secretariat.