Chief AI Officer Programme
By the end of this programme, you'll be able to
01 Define enterprise AI ambition Align AI priorities with your organisation's business strategy and establish a clear direction for enterprise-wide transformation. | 02 Assess AI maturity Evaluate organisational readiness across data, technology, processes, people, and governance to identify capability gaps and priorities. | |
03 Prioritise the AI portfolio Identify and prioritise high-value AI opportunities based on business impact, feasibility, risk, and organisational readiness. | 04 Design governance and operating model Define governance structures, accountability, decision rights, and operating models to support responsible AI adoption at scale. | |
05 Lead workforce adoption Shape workforce capabilities, redesign processes, and lead organisational change to embed AI into everyday operations. | 06 Build value and roadmap Develop business cases, define performance measures, and establish a phased roadmap to turn AI strategy into measurable business value. |
- Chief AI Officers and aspiring AI leaders
- C-suite executives and senior decision-makers
- Digital, data, and technology leaders
- Strategy, transformation, and innovation leaders
- Heads of AI, analytics, and automation
- Senior leaders responsible for AI governance and enterprise-wide adoption
Pre-requisites
- No programming or technical background required
- Senior leadership experience in AI, digital, technology, strategy, or transformation
- Access to organisational priorities and stakeholders is recommended
Delivery format
- Six face-to-face executive half-day sessions over six weeks
- Interactive discussions, case studies, and practical exercises
- Workplace assignments and organisational assessments
- One-to-one individual mentorship
- Final Enterprise AI Blueprint presentation
Explore the nineteen modules designed to help senior leaders define enterprise AI ambition, assess organisational maturity, prioritise use cases, design governance and operating models, drive adoption and build a practical enterprise AI roadmap.
Module 1: The Enterprise AI shift and ambition
What you'll explore:
- Understand the strategic implications of emerging AI technologies
- Assess enterprise AI maturity and existing initiatives
- Define an AI ambition aligned with organisational priorities
Module 2: AI strategy & Value portfolio
What you'll explore:
- Align AI initiatives with business strategy
- Identify and evaluate high-value AI use cases
- Prioritise opportunities based on value, feasibility, risk, and readiness
Module 3: Data, technology, and responsible AI foundations
What you'll explore:
- Assess data readiness and AI technology requirements
- Evaluate AI architecture, platforms, and build, buy, or partner decisions
- Define responsible AI governance, risk controls, and accountability
Module 4: AI operating model and process redesign
What you'll explore:
- Evaluate centralised, federated, and hybrid AI operating models
- Define roles, responsibilities, and decision rights
- Redesign workflows to support human-AI collaboration and operational integration
Module 5: Workforce transformation and adoption
What you'll explore:
- Assess workforce AI literacy and capability requirements
- Address adoption barriers and organisational change
- Develop workforce enablement and AI adoption strategies
Module 6: Value realisation and enterprise roadmap
What you'll explore:
- Develop AI business cases and define value realisation measures
- Establish performance indicators and portfolio governance
- Finalise your Enterprise AI Blueprint and phased implementation roadmap.
PRACTICAL TOOLS & RESOURCES
You will walk away with
Throughout the programme, you'll develop an Enterprise AI Blueprint tailored to your organisation, supported by practical frameworks, assessment tools, and templates to guide AI strategy, governance, adoption, and implementation.
| ✓ | Final Enterprise AI Blueprint An organisation-specific blueprint that brings together your AI priorities, strategic decisions, and a phased implementation roadmap. |
01 Enterprise AI Maturity Assessment covering strategy, data, technology, processes, people, and governance | 02 AI Strategy Canvas |
03 Enterprise AI Use-Case Library | 04 Use-Case Discovery and Prioritisation Framework |
05 AI value-versus-feasibility assessment template | 06 Data and technology readiness assessment |
07 Responsible AI Governance Framework | 08 AI risk and controls checklist |
09 AI Operating Model Design Canvas | 10 Roles and decision-rights template |
11 Human-AI process redesign framework | 12 AI workforce capability assessment |
13 AI literacy and upskilling framework | 14 Stakeholder and adoption-planning templates |
15 AI Business-Case template | 16 Benefits-Realisation and KPI framework |
17 AI portfolio-management template | 18 Workplace assignments aligned with organisational priorities |
19 One-Hour Individual Executive Mentorship | 20 90, 180 and 365-day AI roadmap |
Practical resources you can keep using beyond the programme and apply directly to agentic AI opportunities in your organisation.
Schedule
- CAIO (Chief AI Officer) - once a weekCAIO (Chief AI Officer) - once a week
4000
USD
4000 USDCity
Connect with our team
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Dhisha Viswanathan
Programme Advisor - Digital Programme
