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The AI-Enabled Operating Model™
Redesigning How the Organisation Works, Decides and Creates Value in the Age of AI
Download Course BrochureFlexible delivery options to suit your leadership team and organisational needs.
Duration
5 Days
Certificate
Executive Certificate
Level
Executive / Senior
Format
In-Person / Virtual
Delivery Mode
Instructor-led Workshops, Discussions, Case Studies, Simulations
Introduction
AI transformation changes more than technology; it changes how the organisation works. This programme equips leaders to design an AI-enabled target operating model that connects strategy, work, people, processes, data, technology and governance. Participants strengthen their ability to move beyond isolated AI initiatives and define how the organisation must operate, build capability and create value in an AI-enabled future.
Executives
Transformation Leaders
Strategy & Operating Model Leaders
Digital, AI & Workforce Leaders
Participants will leave the Programme with stronger strategic capability and practical approaches that can be immediately applied within their organisations.
Translating AI ambition into an operating model
Redesigning work, roles and organisational capabilities
Integrating human and AI-enabled ways of working
Establishing governance, accountability and decision rights
Building a practical roadmap towards the target state
Assess current operating model readiness
Define an AI-enabled target state
Redesign work, roles and processes
Align technology, data and governance
Develop an operating model roadmap
AI Operating Model
Work & Process Redesign
Human-AI
Workforce
Data & Governance
Target-State
Roadmap
Core Areas
Understanding AI transformation beyond technology
Connecting AI strategy with organisational design
Understanding the purpose of a target operating model
Assessing the current operating environment
Identifying where AI changes organisational value creation
Understanding operating-model interdependencies
Defining principles for an AI-enabled organisation
Establishing the future-state ambition
Identifying work affected by AI
Understanding automation, augmentation and human judgement
Redesigning processes around AI-enabled capability
Identifying activities that should remain human-led
Understanding how roles and responsibilities may evolve
Redesigning workflows across human and AI interaction
Clarifying accountability within AI-enabled processes
Defining future ways of working
Understanding workforce implications of AI transformation
Identifying future organisational capabilities
Assessing existing capability and skills gaps
Redesigning roles around changing work
Understanding human-AI collaboration
Determining build, buy, partner and automate choices
Preparing leaders and employees for new responsibilities
Creating a future workforce capability agenda
Aligning technology architecture with the operating model
Understanding data as an AI operating-model capability
Establishing AI governance and accountability
Clarifying ownership and decision rights
Understanding risk, ethics and responsible AI
Designing appropriate human oversight
Integrating AI governance into organisational governance
Creating the controls required for enterprise adoption
Bringing operating-model dimensions together
Defining the AI-enabled target state
Identifying gaps between current and future models
Prioritising operating-model interventions
Sequencing organisational change and capability development
Establishing transition governance and ownership
Defining measures of adoption and organisational value
Developing an AI-Enabled Operating Model™ roadmap

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