Practical sessions for leaders deciding what AI should do - and what it should never do.

The AI-Augmented Executive

Making Better Decisions Without Outsourcing Your Judgement

A practical briefing on using AI as analysis without mistaking confidence for correctness - and keeping verification, escalation and accountability with people.

• When should leaders trust AI?
• Where should it be challenged?
• What remains a human decision?

Managing Humans + AI Agents

The New Management Operating Model

A leadership session for managers who will supervise employees, copilots and autonomous agents - with clear boundaries for delegation, approval and performance.

• Who can delegate what?
• Which actions require approval?
• How is machine responsibility measured?

AI Due Diligence

Separating Real Capability from AI Hype

A decision framework for testing vendor claims, model and data dependency, security exposure, regulatory risk, lock-in and the assumptions underneath an AI investment.

• What are we actually buying?
• What data does it depend on?
• What happens when the claim fails?

When AI Becomes an Insider

Protecting the Enterprise in the Age of Copilots and Agents

A security-focused briefing on permissions, sensitive data, shadow AI, agent identity, logging and the consequences of giving an intelligent system access to internal work.

• What can the system see?
• What can it change?
• How quickly can access be revoked?

The Executive AI War Room

An immersive, closed leadership exercise. Participants face an evolving corporate crisis involving manipulated communications, conflicting intelligence, AI-enabled fraud and autonomous actions - then decide what can be trusted, who is responsible and when to escalate.

• Assess evidence under pressure
• Allocate responsibility
• Manage technical and reputational consequence