AI is no longer an experiment happening somewhere else. It is already reshaping decisions, workflows, roles, and expectations, and managers are expected to make AI real — often without technical expertise.

Most AI initiatives succeed or fail in the middle of the organisation, where managers are asked to align AI with real business needs, prepare data and workflows, manage resistance, and deliver results without clear playbooks.

Many teams face uncertainty, anxiety, and confusion about AI, while managers struggle with practical questions such as:

• How do we align AI with real business value?
• How do we ensure our data and workflows are ready?
• How do we guide our teams through resistance and fear?
• How do we move from experimentation to execution?

This programme gives managers the structure, language, and tools to lead AI adoption confidently — keeping people engaged, workflows functional, and value visible.

Key Competences:

• Understanding AI Fundamentals
• AI–Business Value Alignment
• Data Readiness & Constraints
• Workflow & Process Redesign
• Leading AI-Driven Change

Highlights

• Understand how AI reshapes decisions, workflows and the role of managers.
• Identify AI opportunities that create real business value.
• Build a practical 90-day roadmap for implementing AI in your team.

Module 1 | Don\'t Let AI Happen to You

From Hype to Leadership Clarity

AI is a leadership issue before it is a technical one.

This module focuses on:

• Why AI cannot be delegated entirely to IT or vendors
• What AI is and is not using clear, non-technical definitions
• The AI landscape: Generative AI, machine learning, automation, agents
• Where leaders lose control when AI decisions are delegated
• The 4D Model: Data, Decisions, Design, Delivery

You leave with:

• A personal AI leadership stance
• Clear language for talking about AI with your team
• A 4D diagnostic self-assessment

Module 2 | Aligning AI with Business Needs

How AI Creates (and Destroys) Value

Not every AI use case is worth pursuing.

This module explores:

• Aligning business needs with AI opportunities
• Proven AI use cases vs. failed experiments
• The “messy middle” of adoption
• AI as augmentation—not replacement

You leave with:

• An AI–Business Alignment framework
• A use-case prioritisation canvas

Module 3 | Data for AI

Why Data not Models is the Real Bottleneck

Most AI initiatives fail because the data is not ready.

This module focuses on:

• Data readiness levels
• Structured vs. unstructured data
• Data ownership and accountability

You leave with:

• A data readiness map for your area

Module 4 | Process, Workflow & AI Simulation

Embedding AI into How Work Actually Gets Done

AI only delivers value when it changes the way work flows.

This module explores:

• Workflow redesign principles
• Human-in-the-loop decision points
• Hands-on Build-Your-Own-Agent simulation

You leave with:

• A redesigned workflow
• Practical lessons from simulation and experimentation

Module 5 | Organisational Readiness

Why Structure, Incentives, and Culture Matter More Than Tools

AI adoption is a people and organisation challenge.

This module focuses on:

• Roles and skills for AI-ready teams
• Driving change from the middle of the organisation
• Collective decision-making
• Overcoming resistance

You leave with:

• An organisational readiness heatmap

Module 6 | Your 90-Day Action Plan

From Learning to Execution

This final module turns insight into ownership.

You will work on:

• Organisational readiness assessment
• Priority initiatives
• Governance-lite models that enable speed
• Metrics for value and adoption

You leave with:

• A 90-day AI roadmap
• Clear owners and KPIs

This programme is designed for people managers, functional managers, and operational leaders who sit at the centre of AI implementation.

It is ideal for managers who:

• Are asked to adopt or use AI tools in their teams
• Need to translate AI strategy into daily operations
• Feel pressure to “do something with AI” but want clarity
• Lead teams impacted by automation, data, or AI-supported decisions

No technical or data science background is required. This is a manager\'s programme, grounded in reality.