EXECUTIVE AI-SPRINT SERIES
Ten 60-minute private sessions that install an AI-ready mind in any C-suite schedule. No fluff. No homework. Just frameworks, diagnostics, and oversight tools you will use the same week. Delivered live by Norm Murray to your screen – anywhere on Earth. Book one. Book all ten. Start Monday.
Executive AI Micro-Course Features
- 60 minutes of precision intelligence: Distilled, high-impact sessions built for senior executives.
- Immediate application tools: Checklists, decision cards, and diagnostic templates you can use the same day.
- Psychological and strategic framing: Merging leadership science with AI realities.
- Live, interactive design: Provocative discussions, not slide shows.
- Custom alignment options: Adapt any session to your leadership team, board, or transformation roadmap.
- Ethical and human – centered perspective: Grounded in trust, integrity, and the future of work.
- Post-session takeaway kit: A concise reference pack for continued executive reflection.
- Available globally: Delivered virtually.
Executive AI Micro-Courses
Making Smart Decisions with AI Without Losing Your Leadership Instincts
How to balance machine intelligence with human judgment.
Focus:
Decision fatigue, over-automation, and the psychology of human oversight.
Outcome:
A framework for restoring executive confidence when machines dominate analysis.
Why Now:
Executives everywhere are losing their sense of agency amid AI dashboards and copilots.
Managing Autonomous AI
What leaders must know when AI starts making moves on its own.
Focus:
The rise of autonomous and semi-autonomous systems and what “agentic AI” means for governance and trust.
Outcome:
An “Oversight Map” showing who owns which layer of machine authority across the enterprise.
Why Now:
Every board is asking, “Do we even know what our algorithms are doing?
Building Trust Between People and Algorithms
The practical guide to reducing fear, friction, and AI skepticism.
Focus:
How to detect and repair trust gaps between human and algorithmic actors.
Outcome:
A 5-point diagnostic tool + “Trust Differential” mini-index to gauge organisational readiness.
Why Now:
Cultural trust has become the main throttle on AI adoption speed.
Regaining Leadership Confidence in an AI-First World
Why executives doubt themselves, and how to reclaim authority.
Focus:
How data-driven cultures erode intuition, confidence, and moral clarity.
Outcome:
A mental reset protocol for executives to balance intuition with intelligence systems.
Why Now:
Many leaders confuse automation with accuracy, and lose self-command in the process.
Real-Time AI Oversight for Boards
A fast, focused framework for responsible AI governance.
Focus:
Real-time governance models, board-level questioning, and accountability loops.
Outcome:
A “Quarterly Oversight Card” with key risk indicators and questions boards must ask.
Why Now:
Regulators are drafting policies faster than most leadership teams can interpret them.
How to Communicate AI Strategy That Teams Actually Accept
Craft a narrative that reduces resistance and builds belief.
Focus:
Narrative framing, executive storytelling, and meaning-making in times of algorithmic change.
Outcome:
A 3-frame narrative model (“Fear–Familiarity–Foresight”) for aligning teams behind AI.
Why Now:
Organizations are losing control of their own AI stories to media and internal confusion.
Identifying Who Will Succeed (or Struggle) with AI at Work
Spot readiness, burnout, and hidden talent signals in real time.
Focus:
Reading early indicators of burnout, obsolescence, and hidden genius in an AI-infused workforce.
Outcome:
A “Talent Signal Radar” – six behavioural patterns every leader should watch.
Why Now:
The AI adoption curve is now the new war for talent curve.
Scaling AI Across the Company Without Destroying Culture
Turn early wins into enterprise momentum - minus the chaos.
Focus:
How to shift from isolated experiments to enterprise transformation without cultural backlash.
Outcome:
A “Momentum Canvas” with levers for scaling trust, capability, and communication.
Why Now:
Firms that can’t scale AI beyond pilots are bleeding competitive advantage.
Making Ethical AI Choices Under Pressure
A clear method for safe, principled decision-making.
Focus:
Real-world ethical decision frameworks for bias, transparency, and consent.
Outcome:
Two moral scenarios and an “Ethical Reflex Protocol” for real-time decision-making.
Why Now:
Ethics has become operational, not theoretical, in every board conversation.
Building “AI-Ready” Culture -Governance That Works for People, Not Against Them
Where culture, governance, and AI performance finally align.
Focus:
Embedding trust, transparency, and adaptability into daily operations through a CultureOps model.
Outcome:
A visual blueprint linking ModelOps and HR to leadership behaviour loops.
Why Now:
Governance fatigue is real. CultureOps reframes AI discipline as human performance infrastructure.