This practical workshop enables business and functional leaders to turn enterprise AI ambitions into structured, actionable initiatives. Over three days, participants assess readiness, prioritise use cases, scope AI-enabled projects and consider the data, governance, risk, capability and change requirements needed to support implementation.

Day 1

1: AI and Digitalisation Fundamentals

Explore the evolving AI and digitalisation landscape and examine how emerging technologies are reshaping business functions, operating models and organisational performance. Participants will gain a clear understanding of key AI concepts, terminology and strategic drivers, and how enterprise priorities translate into functional and operational objectives.

2: Organisational AI Readiness and Alignment

Learn how to evaluate organisational readiness by examining business objectives, KPIs, AI maturity and the gap between current and desired capabilities. This module explores the structures, stakeholder alignment and cross-functional collaboration required to support successful AI adoption.

3: Sustainability and AI Strategy

Understand how sustainability considerations can be integrated into AI and digitalisation strategies. Participants will examine functional processes, identify capability and performance gaps, and begin prioritising opportunities that support long-term business and transformation goals.

Day 2

4: AI Use-Case Identification and Roadmapping

Discover practical approaches for identifying, evaluating and prioritising AI opportunities within a business function. Participants will map high-value use cases, assess potential pilot projects and develop a structured roadmap aligned with annual operating plans and longer-term organisational priorities.

5: AI Solution Planning and Architecture

Understand how functional and operational needs translate into clear AI solution requirements. This module examines workflow integration, infrastructure, connectivity, technology selection and build-versus-buy considerations. Participants will use an AI canvas to structure a data-backed use case and define its potential business impact.

6.  Cybersecurity, Data Privacy and Responsible AI

Examine the governance foundations required to ensure AI initiatives remain secure, responsible and aligned with organisational requirements. Participants will explore cybersecurity, data privacy, ethical considerations and operational risks across the AI solution lifecycle.

Day 3

7.  AI and Data Strategy

Explore how an effective data strategy supports the development and implementation of AI solutions. Participants will examine data quality, readiness, secure data pipelines, enterprise data lakes, APIs and integration challenges, while considering how functional and AI teams can align business and technical requirements.

8.  Skills, Operating Models and Change Management

Examine the people, skills and operating structures required to implement and scale AI initiatives successfully. This module focuses on digital team structures, programme management, cross-functional collaboration, partner ecosystems, vendor evaluation and change-management approaches that support workforce adoption.

9. AI Business Case, ROI and Implementation Blueprint

Consolidate the key concepts from the programme into a practical implementation plan. Participants will evaluate the potential business value and return on investment of selected AI initiatives, develop a functional AI blueprint and executive summary, and identify clear actions for post-programme review.

Who Should Attend this AI Business Transformation Workshop for Functional Leaders ? 

Designed for professionals responsible for driving AI adoption, digital transformation and operational improvement within their functions.

• Business Unit Heads

• Functional Leaders

• Mid-management leaders

• HR and L&D Leaders

• Business & Operations Managers

• Engineering and Technical Managers

• AI & Digital Transformation Leaders