First Strategy Piece of Enterprise AI: The Change Management Framework

TOCThe Case for ChangeStakeholder Mapping and Influence AnalysisThe Impact-Influence MatrixStakeholder Mapping FrameworkChange Impact Analysis (CIA)As-Is and To-Be StatesUser Group Impact AssessmentChange Readiness and Maturity AssessmentChange Readiness Analysis (CRA)Change Maturity AssessmentCommunication ArchitectureTraining & EnablementReward & Recognition MechanismsThe Social Flywheel of ChangeBehaviour Reinforcement LoopsGo-Live & Post-Go-Live ManagementManaging Change ResistanceModels & Frameworks on Change Management for Enterprise AIFinal NoteThe Case for ChangeThe most profound constraint to AI transformation today is not technical. It’s ironically the human at the centre of the equation.Enterprises have spent the last decade industrialising their data infrastructure, yet their human infrastructure remains analogue. AI fails in large enterprise setups because organisations cannot change how they think.Beneath the surface of every failed initiative is the same pattern: change fatigue, tool overload, and fragmented accountability.