EDC COUNCIL
Make enterprise AI safe, valuable and defensible.
A private working council for the leaders accountable for AI governance, model and agent risk, third-party evidence, monitoring and defensible value.
AI Governance, Risk & Trust Council
- Invite-only participation
- No media or recordings
- No attendee-list resale
- No pay-to-pitch programming
- Permission-based follow-up
AI has moved faster than enterprise accountability.
Organizations are expected to scale AI while proving that systems are controlled, secure, measurable and fit for purpose. Ownership is fragmented across data, model risk, cyber, legal, procurement, compliance, audit, technology and business lines. Vendor evidence is inconsistent. Monitoring often measures model behavior separately from business value. Boards increasingly need a clear answer to a difficult question: can the organization defend the AI it uses?
Council mandate
The Council advances practical standards, questions and operating approaches that help enterprises govern AI without freezing responsible innovation. It focuses on evidence and execution - not abstract policy.
- Clarify accountability and decision rights.
- Improve model, agent and third-party AI review.
- Define minimum evidence for approval and monitoring.
- Connect risk, performance, cost, adoption and business value.
- Translate operating detail into board-, audit- and regulator-ready narratives.
- Identify where common practice is insufficient or changing.
Council artifact - structure
Enterprise AI Accountability Map
- 01AI system in scopeThe system, agent or vendor capability under review.
- 02Decision ownerThe function accountable for approving its use.
- 03Control ownerThe function operating the controls day to day.
- 04Evidence requiredWhat must exist before approval and at each review.
- 05Monitoring signalWhat is measured, how often and by whom.
- 06Escalation pathWho acts when a threshold is breached.
Illustrative format - not participant or client data.
Current agenda
- 01Which AI systems require model-risk, technology-risk or other formal review?
- 02What evidence should an AI vendor provide before approval?
- 03Who owns failures spanning procurement, model risk, cyber, legal, data and business lines?
- 04How should enterprises monitor drift, hallucination, access, leakage, bias, human override and kill-switch effectiveness?
- 05What is the minimum defensible AI inventory and control record?
- 06How should total cost, control burden, adoption and value be measured together?
Who should participate
Recommended cohort
How the council works
Who should participate
- CIO, CTO, CDAO and CDO
- Head of AI, AI platform or automation
- Chief or senior Model Risk leader
- CISO and AI security leader
- Data governance, quality, lineage and privacy leader
- Third-party risk and procurement leader
- Legal, compliance and internal audit leader
- Business executive accountable for AI performance
Recommended cohort
- 12–20 continuing members
- Balanced across functions and industries
- Majority enterprise operators
- Limited partner participation in designated formats only
How the council works
- Monthly private council sessions, with recommended quarterly in-person gatherings.
- Targeted executive pulse research between sessions.
- Optional small working groups around specific artifacts.
- Non-attributable discussion unless explicit written approval is granted.
- Annual agenda reset based on member priorities.
- Written participation standard and conflict disclosure.
What membership asks of you
- Attend the monthly private council sessions or send no substitute.
- Speak from current operating reality rather than prepared positioning.
- Respond to targeted executive pulse research between sessions.
- Respect non-attributable discussion unless explicit written approval is granted.
- Disclose conflicts that could affect the council's independence.
- Review draft outputs before they are released to members.
How membership works
- 01Apply or be nominatedAn executive applies directly or is nominated by a peer.
- 02Qualification reviewEDC reviews operating responsibility, seniority and potential conflicts.
- 03Introductory conversationA short conversation to confirm fit and priorities.
- 04Participation-standard acceptanceMembers accept the written participation standard and disclose conflicts.
- 05Council placement and continuing termPlacement into the council for a defined term of monthly private sessions.
Outputs
- In development
Enterprise AI Accountability Map
Shows which function owns each AI decision, control and failure mode.
- In development
Third-Party AI Evidence Checklist
Sets the proof a vendor must provide before an AI system is approved.
- In development
Defensible AI Risk & ROI Dossier Framework
Connects control evidence to measured business value in one record.
- Planned
AI Governance Maturity Benchmark
Places an organization against comparable peers on governance practice.
- Planned
Board Questions for Production AI
The questions a board should be able to ask, and expect answers to.
- Public summary planned
Annual State of Enterprise AI Trust Brief
A yearly read on where enterprise AI accountability actually stands.
Council leadership
Founding leadership is being confirmed.
Qualified executives may apply or be nominated for consideration.
Expertise can support the Council. It cannot control it.
EDC may select one or a small number of category-relevant partners to support research, private salons or council outputs. EDC retains control of the agenda, member selection, facilitation, findings and follow-up. Partner involvement is disclosed, and executive members are never placed into uncontrolled commercial outreach.
Questions members ask
- Is participation public?
- Council membership can be public with the member's approval. Session comments remain governed by the applicable attribution rule.
- Are sessions recorded?
- No, unless a separate session is explicitly designed and consented to as recorded content.
- Does membership imply employer endorsement?
- No. Members participate in an individual professional capacity unless their employer has expressly authorized otherwise.
- What is the expected time commitment?
- Council participation generally includes remote one hour monthly private council sessions, recommended in-person quarterly sessions and limited optional review between sessions. Exact dates and expectations are confirmed before participation.