AI Strategy & Governance
A practical professional programme focused on ai strategy & governance, designed to strengthen digital capability, technology adoption and data-informed performance.
- Type
- Executive
- Level
- Executive
- Duration
- 5 days
- Delivery
- In person, Live online, In-house
- Languages
- English, Arabic
AI Strategy & Governance develops the capability to establish an organisational strategy for artificial intelligence supported by clear governance, accountability and risk controls.
The programme examines strategic priorities, AI portfolios, operating models, human oversight, data governance, risk classification, ethics, vendor management and performance measurement.
Participants learn how to move from isolated AI experimentation to a coordinated organisational approach that balances innovation, value, control and responsibility.
Objectives
Develop an organisational perspective on AI strategy.
Prioritise AI initiatives according to value, feasibility and risk.
Establish governance roles, decision rights and accountability.
Address data, ethical, legal and third-party risks.
Develop practical AI strategy and governance roadmaps.
Learning outcomes
Assess an organisation’s strategic context for AI.
Develop criteria for prioritising AI initiatives.
Define governance structures and human-oversight requirements.
Apply risk-based controls to AI use cases.
Develop a structured AI strategy and implementation roadmap.
Who it is for
Senior executives and managers.
Strategy and transformation professionals.
Governance, risk and compliance professionals.
Technology and data leaders.
Professionals responsible for organisational AI governance.
Programme modules
1. AI Strategy Foundations
Strategic role of AI
AI value creation
Competitive implications
Organisational priorities
2. AI Portfolio and Prioritisation
Use-case portfolios
Value assessment
Feasibility
Risk-based prioritisation
3. AI Operating Model
Ownership
Decision rights
Centralised and federated models
Cross-functional responsibilities
4. Governance and Human Oversight
Accountability
Human-in-the-loop controls
Approval processes
Documentation
5. AI Risk and Responsible Use
Bias
Privacy
Security
Third-party and vendor risk
6. AI Roadmap and Performance
Implementation roadmap
Capability development
AI KPIs
Governance review
Methodology
The programme combines AI strategy frameworks, governance cases, risk-classification exercises and roadmap-development activities. Participants develop coordinated approaches to AI investment, control and implementation.
Assessment
Assessment includes AI strategy and governance exercises and a final applied assignment requiring participants to develop an AI strategy and governance framework for a defined organisation.
Certificate
Certificate of Completion
For your organisation
This programme can be delivered for a single organisation, team or institution, and adapted to your context, participants and objectives.
Organisational delivery is scoped and priced individually, and is not booked from this page.
Upcoming sessions
No dates are scheduled at present.
Institutional needs addressed
Related expertise
Related capabilities
Training & Professional Development
Structured professional learning that develops practical, role-relevant knowledge and capability.
Capacity Building & Institutional Development
Strengthening institutional systems, structures, people and organisational capability for sustainable performance.
Consulting & Advisory
Structured advisory support for strategy, governance, performance, transformation and organisational decision-making.