AI Training

C-Suite & Strategists

Modules for senior leaders setting direction and for strategists embedding AI in the enterprise.

Learn AI Skills in Minutes, Not Hours

Each microlearning module below is 30–45 minutes, with a practical takeaway you can use straight away. Click a card to see what it covers.

C-Suite & Senior Leaders Pathway

CEOs: How to Take the Lead in AI Transformation

Duration: 30–45 minutes

Confidently lead enterprise AI transformation – turning strategy into action and creating organisational advantage.

Takeaway: One-page Action Roadmap listing practical steps to lead AI adoption effectively.

Executive click for details...

Covers:

  • • Identifying your CEO AI leadership style (Explorer, Builder, Accelerator)
  • • Core leadership actions for AI impact across strategy, culture and investment
  • • Building personal and organisational AI fluency
  • • Creating your actionable one-page CEO roadmap
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Leading Cultural Change in the Age of AI

Duration: 30–45 minutes

Enable leaders to shape the cultural conditions for AI adoption.

Takeaway: One-page action roadmap PDF showing steps for shaping a culture ready for AI adoption.

Executive click for details...

Covers:

  • • Cultural barriers to AI value
  • • Signals leaders send through behaviour
  • • Aligning incentives, norms, and expectations
  • • Sustaining trust during change
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Redesigning How Work Gets Done with AI

Duration: 30–45 minutes

Rethink work, not just technology.

Takeaway: Slide deck draft showing workflow redesign, role changes and decision responsibilities.

Executive click for details...

Covers:

  • • How AI changes tasks, roles and decision rights
  • • Redesigning workflows and operating models
  • • Implications for talent and capability
  • • Leading organisation-wide change
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Setting the AI Learning Agenda for Your Organisation

Duration: 30–45 minutes

Position learning as a strategic pillar of AI success.

Takeaway: Slide deck draft to present your organisation's AI learning agenda to leadership.

Executive click for details...

Covers:

  • • Why AI success depends on learning capability
  • • Shifting from one-off training to continuous learning
  • • Leadership's role in setting direction and tone
  • • Aligning learning with strategy
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From AI Investment to Business Value

Duration: 30–45 minutes

Bridge the gap between AI spend and tangible results.

Takeaway: One-page guide PDF summarising steps to connect AI initiatives to business value.

Executive click for details...

Covers:

  • • Common reasons AI initiatives stall
  • • Connecting AI use to strategic priorities
  • • Accountability, ownership and governance
  • • Measuring value beyond pilots
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AI Governance for Senior Leaders: Owning the Risk, Not Just the Reward

Duration: 30–45 minutes

Understand what genuine accountability for AI looks like at the top, and what boards, regulators and investors are now expecting.

Takeaway: A one-page AI governance accountability framework.

Executive click for details...

Covers:

  • • Why AI governance is now a senior leadership accountability, not a technology or compliance function
  • • What boards, regulators and investors are increasingly asking about AI
  • • Defining clear ownership of AI risk, ethics and outcomes at the top
  • • Building oversight structures that work without slowing adoption
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CTO leadership – paired modules
30–45 min
Hiring an AI-First CTO
Equip leaders with a structured approach to hiring an AI-first CTO who can drive technology strategy, AI-enabled transformation and sustainable competitive advantage.
Takeaway
A job description for an AI-first CTO that leaders can use to shape recruiting, assessment and onboarding.
  • Why AI-first CTO leadership matters and the cost of fragmented AI ownership
  • The four defining characteristics that distinguish an AI-first CTO from a traditional technology leader
  • Core competencies to assess: technical, leadership, commercial and AI-era skills
  • Interview questions, red flags and a structured selection and onboarding plan
30–45 min
How to Be an AI-First CTO
Equip yourself to be an AI-first CTO who can drive technology strategy, AI-enabled transformation and sustainable competitive advantage.
Takeaway
A personal development plan for an AI-first CTO that you can use to shape your own growth, priorities and onboarding into the role.
  • Why AI-first CTO leadership matters and the cost of fragmented AI ownership
  • The four defining characteristics that distinguish an AI-first CTO from a traditional technology leader
  • Core competencies to develop: technical, leadership, commercial and AI-era skills
  • Reflective questions, development priorities and a structured personal action plan

Strategists & Transformation Leaders Pathway

Embedding AI Into Strategy, Not Just Pilots

Duration: 30–45 minutes

Move from isolated use cases to enterprise impact.

Takeaway: Slide deck draft showing how pilots integrate into enterprise-wide AI strategy.

Strategy click for details...

Covers:

  • • Why pilots often fail to scale
  • • Integrating AI into strategic planning
  • • Portfolio thinking for AI initiatives
  • • Building repeatable capabilities
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Strategic Experimentation in the Gen AI Era

Duration: 30–45 minutes

Build experimentation into AI strategy execution.

Takeaway: One-page experiment planning PDF for designing, testing and learning from AI experiments.

Strategy click for details...

Covers:

  • • Why experimentation is now a competitive advantage
  • • Designing fast, low-risk experiments
  • • Learning systematically from outcomes
  • • Scaling what works
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Designing AI-Enabled Operating Models

Duration: 30–45 minutes

Embed AI into how the organisation operates.

Takeaway: One-page operating model template PDF showing roles, governance, and accountability.

Strategy click for details...

Covers:

  • • Aligning AI with structure, roles and governance
  • • Cross-functional collaboration models
  • • Ownership and accountability for AI systems
  • • Sustaining performance over time
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Cybersecurity in Practice: Organisational Readiness and Action

Duration: 30–45 minutes

Build organisational cybersecurity readiness through practical security mindsets, behaviours and governance for today's threat landscape.

Takeaway: One-page Cybersecurity Action Planner with leadership priorities, defensive measures, workforce training and incident response framework.

Strategy click for details...

Covers:

  • • Why cybersecurity is a strategic leadership priority, not just IT
  • • Managing human-AI interactions as security vectors
  • • Building multi-layered defences and proactive monitoring
  • • Creating security culture through training and governance
  • • Preparing for incident response and organisational resilience
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Measuring What Matters: AI Value, Outcomes and Learning Loops

Duration: 30–45 minutes

Define and track meaningful AI impact.

Takeaway: One-page metrics framework PDF summarising KPIs, outcomes and feedback loops.

Strategy click for details...

Covers:

  • • Linking AI metrics to business outcomes
  • • Balancing performance, risk, and learning
  • • Continuous improvement through feedback loops
  • • Informing future strategy
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AI Training