C-Suite AI Council & Charter Development

---

A consultancy AI strategy offering to establish a C-Suite AI Council and charter should deliver a robust, actionable roadmap that combines governance best practices, organizational change management, and technical fluency. Here is a comprehensive offering outline:

C-Suite AI Council & Charter Development: Strategy Offering

1. Executive Alignment and Vision Setting

• Facilitate      workshops with the C-suite to clarify the organization’s AI ambition,      values, and ethical guardrails for AI use.
• Establish      guiding principles for the council, such as transparency, accountability,      privacy, security, fairness, continuous learning, and collaboration.

2. Council Structure and Composition

• Define a      cross-functional structure for the Council with representatives from      executive IT, architecture, automation, operations, business verticals,      enterprise risk, legal, and compliance.
• Recommend      both permanent officers (e.g., CEO sponsor, CTO/CIO, COO, etc.) and      rotating members from key business units and technology leads.

3. Charter Drafting and Policy Framework

• Draft a      tailored AI Governance Charter covering:

• Scope and       authority for overseeing all AI initiatives, tools, and use cases
• Rules for       reviewing, approving, and terminating AI projects
• Mechanisms       for rapid/ad hoc decision-making and conflict resolution
• Detailed       responsibilities, such as compliance oversight, risk management,       transparency, and workforce training
• Amendment       processes and regular review schedules to keep the charter current

4. Oversight, Risk, and Compliance Processes

• Outline      council procedures for:

• Conducting       enterprise-wide AI audits, minimizing “shadow AI,” and aligning       investments with company goals
• Formal       review and approval processes for AI tools, models, and business use       cases
• Ensuring       ongoing compliance with regulations (e.g., data protection, bias       mitigation, explainability)

5. Change Management, Training, and Communication

• Develop an      organization-wide communication plan, publishing council decisions and      lessons learned
• Launch a      baseline AI literacy and ethics program for all staff, endorsed by the      council, and tailored training for key risk and tech stakeholders
• Establish      ongoing mechanisms for council reporting, measurement, and communications      (e.g., quarterly updates, dashboards, KPIs for compliance, quality, and      business impact)

6. Continuous Improvement and Stakeholder Engagement

• Build      feedback loops with internal and external stakeholders (employees,      customers, regulators)
• Design      processes for ongoing review, charter amendment, and capability-building      as AI and business needs evolve

With this strategy, the consultancy equips organizations to establish trusted, empowered leadership that responsibly steers enterprise AI while democratizing its benefits. The offering provides templates, best-practice workflows, and hands-on change management support, ensuring not just compliance, but culture change and long-term AI value.

Related