Executive Briefing
AI Strategy & Governance – Executive Briefing
Executive accelerator for CXOs assessing Generative & Agentic AI investments. Align strategy, governance and risk so you can steer GenAI responsibly and with measurable impact.
AI Strategy & Governance – Executive Briefing
Generative & Agentic AI for CXOs and senior decision-makers. This format acts as a high-level decision accelerator before major GenAI investments. It derisks programmes by aligning CXO expectations, governance and compliance. GenAI and agentic AI accelerate speed and scale, making executive oversight non-negotiable.
Programme Objectives
- Understand the strategic impact of Generative AI and Agentic AI on the enterprise.
- Identify high-value GenAI and agentic use cases aligned with business priorities.
- Anticipate governance, risk and accountability changes introduced by autonomous systems.
- Define a responsible AI governance framework for GenAI and agentic initiatives.
- Make informed executive decisions on investments, deployment and oversight.
This executive briefing is not technical training; it supports strategic, governance and leadership decisions.
Target Audience
- CEO, CFO, CIO, CDO, COO, CHRO and other C-level roles.
- Board members and executive committee (COMEX) leaders.
- Transformation, innovation, risk and compliance leaders.
- Sponsors of GenAI or agentic AI programmes.
Programme Overview – Executive Fast Track
Module 1 — Generative & Agentic AI: Strategic Impact
Clarifies what GenAI and agentic AI mean in business terms, how they differ from traditional AI, and how they reshape competitive advantage, operating models and decision-making.
Key takeaway: a clear framework to assess GenAI and agentic AI opportunities.
Module 2 — Defining a GenAI & Agentic AI Strategy
Helps CXOs select high-impact use cases (decision support, workflow automation, copilots, autonomous agents), align with risk appetite and balance autonomy vs. control, speed vs. reliability.
Module 3 — Governance, Risk & Accountability
Covers human-in/on-the-loop models, decision ownership, escalation paths, hallucination risks, data leakage, EU AI Act and GDPR expectations, ensuring innovation remains accountable.
Module 4 — Leadership & AI-Augmented Decision-Making
Details how leaders use GenAI/agentic AI as decision accelerators, what must stay under human judgment, and the essential questions to ask before approving deployments.
Outcomes & Key Benefits
- Clear strategic understanding of Generative and Agentic AI.
- Executive decision checklist for GenAI and autonomous AI programmes.
- Foundations of a governance framework adapted to autonomous systems.
- Ability to challenge vendors, consultants and internal teams.
Teaching methods
Live virtual classrooms, collaborative labs and guided toolkits make every session actionable for both leadership and practitioner audiences.
- Instructor-led cohorts capped for interaction and mentoring.
- Replayable assets: templates, canvases and recorded briefs.
- Hands-on labs and breakout coaching for immediate practice.
- Executive workshops paired with practitioner breakouts.
- Reusable canvases to cascade governance and AI KPIs.
Assessment & certification
Each participant validates outcomes through practical deliverables and receives documented feedback linked to certification requirements.
- Capstone pitch or technical runbook evaluated by faculty.
- Rubrics aligned with the programme’s KPIs and maturity model.
- Digital certificate of completion plus guidance on next credentials.
- Optional executive board readout to anchor sponsorship.