
The AI Transformation Agenda™
Turning AI Potential into Enterprise-Wide Business Transformation
Download Course BrochureFlexible delivery options to suit your leadership team and organisational needs.
Duration
5 Days
Certificate
LOCEPX
Level
Advanced
Format
In-Person
Delivery Mode
The course combines executive facilitation, AI transformation frameworks, contemporary business cases, structured discussion and practical organisational application. Participants will examine AI transformation through strategy, operating model, process, workforce, governance and value perspectives. Facilitated analysis enables leaders to assess transformation opportunities and challenge existing assumptions. The methodology is deliberately non-technical and focuses on the executive decisions required to translate AI potential into organisational change and measurable value.
Online
Date: 23rd – 27th Nov 2026
Location: Virtual
Fee: £3,495
Online
Date: 30th – 4th Nov 2026
Location: Virtual
Fee: £3,495
Online
Date: 2nd – 6th Nov 2026
Location: Virtual
Fee: £3,495
In Person
Date: 23rd – 27th Nov 2026
Location: London
Fee: £4,495
In Person
Date: 30th – 4th Nov 2026
Location: London
Fee: £4,495
In Person
Date: 2nd – 6th Nov 2026
Location: Madrid
Fee: £4,495
In Person
Date: 9th – 13th Nov 2026
Location: Paris
Fee: £4,495
Online
Date: 14th – 18th Dec 2026
Location: Virtual
Fee: £3,495
Online
Date: 21st – 25th Dec 2026
Location: Virtual
Fee: £3,495
Online
Date: 28th – 1st Dec 2026
Location: Virtual
Fee: £3,495
Introduction
This LOCEPX Training course equips leaders to translate artificial intelligence from isolated experimentation into meaningful business transformation aligned with organisational strategy and value. This LOCEPX Training course develops the leadership capability required to determine where AI can fundamentally improve how an organisation operates, serves customers, makes decisions and creates value.
Successful AI transformation requires far more than implementing new technology. It demands deliberate choices about strategy, operating models, processes, people, capabilities, governance and investment. The AI Transformation Agenda™ enables leaders to examine their organisation through an AI transformation lens, identify where meaningful change is possible and distinguish incremental improvement from genuine transformation. Participants will explore how to prioritise transformation opportunities, redesign processes and ways of working, mobilise leadership and workforce capability, establish effective governance and measure business value. Particular attention is given to the leadership challenges involved in moving from pilots to enterprise adoption. The programme provides a practical framework for building an integrated AI transformation agenda that connects ambition with organisational readiness, execution and sustainable business outcomes.
Strategy and transformation professionals
Functional and business unit leaders
Digital and technology decision-makers
Programme and portfolio leaders
Senior professionals responsible for AI-enabled change
Participants will leave the Programme with stronger strategic capability and practical approaches that can be immediately applied within their organisations.
An AI transformation strategy framework
Stronger transformation opportunity assessment
Practical approaches to AI-enabled process redesign
Greater operating-model transformation awareness
Stronger organisational readiness assessment capability
Improved transformation prioritisation
Practical approaches to value realisation
An enterprise AI transformation agenda
Analyse AI-driven transformation opportunities
Prioritise high-value transformation initiatives
Redesign AI-enabled organisational processes
Align people, technology and transformation
Lead enterprise AI transformation effectively
Strategic
Thinking
Enterprise
Leadership
Decision
Making
Core Areas
Understanding AI as a transformation capability
Distinguishing AI adoption from business transformation
Connecting AI transformation with organisational strategy
Understanding how AI changes business and operating models
Identifying strategic drivers for AI transformation
Recognising incremental versus transformational opportunities
Understanding organisational dependencies and constraints
Defining the leadership ambition for AI transformation
Identifying high-value organisational opportunities for AI
Examining customer, operational and workforce opportunities
Understanding AI-enabled products and services
Evaluating processes for transformation potential
Assessing strategic value, feasibility and complexity
Understanding transformation dependencies and risks
Prioritising competing AI transformation initiatives
Creating a focused transformation portfolio
Understanding AI-enabled operating-model change
Redesigning end-to-end organisational processes
Rethinking workflows rather than simply automating tasks
Understanding automation, augmentation and human contribution
Redesigning roles, responsibilities and decision rights
Connecting data, technology, process and people
Understanding cross-functional transformation dependencies
Designing for scalable AI-enabled operations
Understanding the people dimension of AI transformation
Building workforce readiness and capability
Leading employees through changing ways of working
Establishing transformation ownership and sponsorship
Developing AI transformation governance
Managing risk and responsible AI considerations
Building cross-functional leadership alignment
Creating organisational commitment to transformation
Translating transformation ambition into an executable roadmap
Sequencing initiatives and organisational capability development
Establishing transformation outcomes and measures
Connecting AI investment with business value
Monitoring adoption and value realisation
Scaling successful AI transformation initiatives
Adapting the transformation agenda as conditions evolve
Developing an enterprise AI transformation action plan

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