Module 1
Digital and AI Strategy Foundations
- Technology versus business transformation
- Strategic intent and value outcomes
- Digital and AI opportunity landscape
- Use-case framing and prioritisation
Digital and AI Strategy Programme
Digital and AI Strategy for Business Transformation
Connect digital and AI opportunities to strategic value, operating-model redesign, governance, capability, adoption and measurable transformation.
Course overview
Move from technology enthusiasm to a coherent digital and AI transformation strategy.
Digital and AI transformation creates value when technology choices are anchored in strategic outcomes, redesigned work, credible data, human accountability, governance, adoption and measurable business performance.
This course helps leaders develop a practical digital and AI strategy rather than a catalogue of tools. Participants identify high-value opportunities, assess readiness, prioritise use cases, define human-AI decision boundaries, design governance and connect initiatives to operating-model and capability change.
The programme emphasises responsible value creation. Leaders learn to distinguish experimentation from enterprise readiness and to scale only where evidence, ownership and controls support wider adoption.
Learning outcomes
What participants will be able to do.
By the end of the course, participants should be able to:
- Define strategic outcomes that digital and AI initiatives are expected to improve.
- Identify and prioritise digital and AI opportunities using value, feasibility, risk and readiness criteria.
- Assess the operating-model, workflow, data and capability implications of transformation.
- Define appropriate roles for AI and explicit human decision ownership.
- Design proportionate governance for data, risk, testing, monitoring and escalation.
- Plan adoption, managerial supervision and workforce capability development.
- Define credible baselines, measures, benefits and evidence requirements.
- Create a phased transformation roadmap with decision gates for experimentation, scaling, redesign or stopping.
Who should attend
Designed for professionals who influence strategic choices or execution.
- Executives and business leaders sponsoring digital or AI transformation.
- Digital, technology and data leaders.
- Strategy, transformation and innovation professionals.
- Functional leaders and PMO/portfolio professionals governing digital investment.
Prerequisites
Professionally accessible and application-focused.
No technical AI qualification is required. Participants should have management or professional experience and an interest in business transformation.
Course structure
A five-module strategic learning journey.
The sequence develops understanding, application and practical outputs progressively across five connected modules.
Module 2
Operating Models, Workflows and Human-AI Design
- Workflow analysis and redesign
- Automation, augmentation and decision support
- Human accountability and decision rights
- Data and integration implications
Module 3
Responsible Governance and Risk
- AI and digital risk categories
- Data, privacy, security and fairness
- Testing, monitoring and escalation
- Governance roles and decision gates
Module 4
Adoption, Capability and Transformation Leadership
- Managerial supervision
- Employee participation and change
- Role-specific capability development
- Trust, communication and adoption
Module 5
Value, Portfolio Decisions and Scaling
- Baselines, measures and benefits
- Experiment evidence and readiness
- Scale, redesign, narrow, pause or stop
- Transformation roadmap and operating rhythm
Learning experience
Learn by analysing, applying, challenging and producing.
Understand
Clarify the strategic logic
Digital and AI opportunity-prioritisation workshops.
Apply
Practise with evidence and cases
Workflow and human-AI role-design exercises.
Produce
Create practical outputs
Responsible-governance case analysis.
Challenge
Test assumptions and trade-offs
Transformation adoption and capability planning.
Transfer
Connect learning to work
Portfolio/value-review simulation and roadmap development.
Completion requirements
Complete the applied learning journey.
- Participate in opportunity, workflow and governance exercises.
- Develop an AI/digital use-case prioritisation and design output.
- Complete adoption, value and scale-readiness activities.
- Produce a final transformation roadmap and executive action plan.
Participant outputs
Leave with practical strategic-management artefacts.
- Digital/AI strategic intent and opportunity map.
- Use-case prioritisation matrix.
- Human-AI workflow and accountability design.
- Responsible governance and risk checklist.
- Transformation roadmap, value measures and decision gates.
Delivery options
Choose the format that fits your people and operating environment.
Instructor-led
Live Classroom
Face-to-face delivery with facilitated discussion, strategic cases, workshops, practical tools and immediate feedback.
Instructor-led
Live Virtual Classroom
Interactive online delivery using collaborative workspaces, breakout activities, coached practice and guided application.
Flexible
Blended Learning
A structured combination of preparation, live sessions, applied assignments, workplace tools and follow-up.
Organisation-specific
Corporate and In-Company
Tailored delivery using organisational terminology, strategic priorities, industry context, decision processes and anonymised cases where appropriate.
Frequently asked questions
Course information and participation.
Is this a technical AI course?
No. It is a strategy and transformation programme for leaders and professionals. Technical concepts are addressed only to the depth needed for sound business decisions and governance.
Does the course cover generative AI?
Yes, where relevant, alongside other digital and AI capabilities. The focus remains on business value, work design, risk, governance and adoption.
Will participants learn how to select AI use cases?
Yes. Opportunity framing and prioritisation are core parts of the programme, including value, feasibility, risk and organisational readiness.
Can the course be tailored to our AI programme?
Yes. Corporate delivery can work with your transformation priorities, use cases, governance model and capability needs.
Does completion provide a professional certification?
The course may provide an INDENTRA completion record where applicable. It does not confer a third-party AI certification.
Take the next step
Build a digital and AI strategy that connects technology with responsible transformation and value.
Discuss a leadership or corporate programme aligned with your digital priorities, AI portfolio, governance and transformation roadmap.