Seminar Objective
This executive seminar equips senior leaders to design, govern, and operationalize an AI leadership model that balances speed, accountability, trust, and measurable business value. The focus is not on tools, but on:
Who decides
Who owns outcomes
How AI is governed at enterprise scale
Who Should Attend
Board members and non‑executive directors
CEOs
CIOs / CTOs / CDOs / CAIOs
Chief Risk, Compliance, and Legal Officers
Strategy, Finance, and Business Unit leaders
What You'll Take Away
Clear AI leadership operating models (centralized, federated, embedded)
Defined roles, decision rights, and accountability for AI
A practical governance framework that enables speed while managing risk
Financial accountability for AI initiatives and portfolios
A draft target‑state AI leadership structure for your organization
Format
One‑day, in‑person executive seminar (7 hours)
AIRE Council–led briefings, facilitated executive discussions, and leadership exercises
Practical, decision‑focused, and board‑relevant
“AI leadership is not about controlling models—it is about controlling decisions.”
Trainer Bios
Ramon J. Matosis a cybersecurity and cloud transformation leader with 28+ years of experience modernizing enterprise infrastructure for AI, analytics, and secure workloads. He has led mission‑critical programs at AWS, Cisco, HPE Aruba, and Kyndryl, with deep expertise in Zero Trust, SASE, SD‑WAN, and multi‑cloud architectures (AWS, Azure, GCP).
CISSP, AWS Certified Solutions Architect – Associate, HPE Aruba SSE Security Specialist, Cato SASE Certified, Certified ScrumMaster (CSM).