AI Posture Strategy and Governance

• A managerial, strategic, operational, digital, risk, or governance role.
• A general understanding of digital transformation or innovation challenges.
• Familiarity with their organisation’s priorities, AI initiatives, or transformation agenda.
• The ability to contribute to decisions on use cases, risks, resources, or operating model.

Train executives and management teams to assess their organisation’s AI maturity, align strategic priorities, strengthen governance, and turn AI ambition into an actionable execution roadmap.

By the end of the training, participants will be able to:

• Understand the six dimensions of AI posture: Strategy & Vision, Data & Technology, Governance & Risk, People & Culture, Operating Model, and Value Realization.
• Identify high-value AI opportunities and associated risks.
• Assess the organisation’s current AI maturity and define a target posture.
• Prioritise AI use cases based on value, feasibility, risk, and scalability.
• Define governance principles, ownership, controls, approval thresholds, and escalation mechanisms.
• Build a 30/60/90-day action roadmap with owners, KPIs, and executive decisions.
• Prepare board-ready outputs to support leadership alignment and execution.

The training combines structured learning, maturity diagnosis, case-based discussion, governance design, and roadmap development.

The programme covers:

• Introduction to AI Posture

Definition of AI posture, strategic value, risk, governance, and executive alignment.

• AI Maturity Assessment Framework

Assessment of six dimensions: Strategy & Vision, Data & Technology, Governance & Risk, People & Culture, Operating Model, and Value Realization.

• Diagnosis and Scoring

Current-state maturity scoring, evidence review, identification of strengths, gaps, risks, and priorities.

• AI Use Cases and Portfolio Logic

Identification of AI opportunities, use-case prioritisation, ROI logic, feasibility, adoption, and control requirements.

• Governance and Risk Management

Roles and responsibilities, decision model, risk appetite, minimum controls for data, GenAI tools, vendors, and sensitive use cases.

• European Regulatory Baseline

Practical overview of relevant frameworks such as the EU AI Act, GDPR, NIS2, Cyber Resilience Act, Data Act, Data Governance Act, and DORA where applicable.

• AI Operating Model

Organisation, funding, governance cadence, vendor management, AI lifecycle ownership, and scaling model.

• Roadmap and Action Planning

Development of a 30/60/90-day plan, action prioritisation, owners, KPIs, executive decisions, and next steps.

• AI ambition and business value creation.
• AI maturity diagnosis across six dimensions.
• Identification of priority AI use cases.
• Governance, ownership, and decision rights.
• AI risk management, data protection, cybersecurity, vendors, and compliance.
• EU AI Act, GDPR, and other relevant European frameworks.
• Prioritisation by value, risk, feasibility, and scalability.
• AI portfolio design: quick wins, strategic bets, and risk-control work packages.
• 30/60/90-day execution roadmap.
• Executive deliverables: maturity scorecard, archetype placement, governance blueprint, board-ready deck, and action path.

The training uses an active, practical, and decision-oriented approach.

Evaluation is continuous and integrated into the training activities.

Participants may receive a certificate of attendance after completing the training.

AI Posture Strategy Kit and Blueprint.

Recommended group size: 6 to 12 participants.
The training can be delivered in person, online, or in hybrid format.
In-person delivery is recommended for executive committees, leadership workshops, and sessions requiring a high level of alignment, debate, and decision-making.

AI Posture Strategy & Governance is a premium, case-based and outcome-driven training programme designed to help organisations move from AI ambition to governed, measurable, and responsible execution.

The training focuses on three core outcomes:

• Strategic clarity: shared language, current posture, target posture, and executive choices.
• Governed scale: ownership, controls, risk appetite, cadence, and approval thresholds.
• Measurable impact: initiative portfolio, KPIs, owners, 90-day roadmap, and executive-ready deliverables.

The content can be adapted to the organisation’s context, sector, AI maturity level, regulatory exposure, and business priorities.