Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

As AI initiatives multiply, senior leadership needs a disciplined forum to decide which projects to scale, which to stop and which risks to accept. Without clear design, however, steering committees quickly degenerate into lengthy status-update meetings that delay delivery without improving governance.

This course shows how to design and run an evidence-based AI Steering Committee for portfolio oversight, staged funding and regulatory/ethical escalation. Participants draft a committee charter, PoC–pilot–scale gate checklists and a one-page executive decision-support dashboard template.

Who Should Attend?

  • Chairs and members of the AI Steering Committee
  • CIOs, CDOs, CTOs, CFOs, CISOs and legal/compliance directors
  • PMO, strategy and AI CoE leaders running the committee secretariat
  • Senior executives reporting on AI initiatives to the board

Key Takeaways

  • Draft an AI Steering Committee charter defining membership, voting rights and operating cadence
  • Set risk-tiered triage rules that determine which initiatives require committee sign-off
  • Define objective go/pivot/kill stage-gate criteria across discovery, pilot and production scale
  • Design decision-oriented one-page briefs and portfolio dashboards instead of passive status decks
  • Operate clear escalation protocols for AI incidents, cost overruns and EU AI Act/KVKK compliance issues

Curriculum

Role, Composition and Charter of the AI Steering Committee
  • Mandate boundaries between the board, executive committee, AI Steering Committee and AI CoE
  • Ideal committee composition across business, technology, finance, security, legal and HR
  • Escaping the status-meeting trap: decision-driven agendas and voting rules
Risk-Tiered Triage and Stage-Gate Governance
  • Green, amber and red lanes: maintaining speed without routing every project to the committee
  • Gate 1 (Problem & Data), Gate 2 (Pilot & Eval Evidence), Gate 3 (Go-Live & Security Sign-Off)
  • Applying objective kill criteria to stop zombie pilots and reallocate funding
Decision-Support Pack and Portfolio Dashboard Design
  • Standard one-page project decision brief (value, TCO, eval scores, residual risks)
  • Eight core portfolio metrics: realised ROI, adoption, token spend, open risk items
  • Translating technical evaluation metrics into executive decision indicators
Escalation, Incident Response and Regulatory Oversight
  • Tracking EU AI Act high-risk obligations, KVKK compliance and ISO/IEC 42001 controls
  • Escalation workflow for severe hallucination incidents, data leaks or rogue agent actions
  • Formal risk acceptance, conditional approvals and audit trail documentation
Simulation: Live AI Steering Committee Session
  • Role-play on realistic dossiers (one scale request, one budget overrun, one high-risk agent)
  • Making Go / Pivot / Kill decisions and recording conditional sign-offs
  • Finalising the organisation's own AI Steering Committee charter and inaugural agenda

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