Role-Based Programme
RB1083

AI for Business Transformation

Advanced Operating Model Redesign, Process Innovation & Enterprise Change

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across enterprise transformation, process redesign, operating-model evolution, and business change.
  • Use AI-assisted analysis to identify inefficiencies, transformation opportunities, capability gaps, and barriers to execution.
  • Apply AI to process transformation, operating-model design, change planning, transformation governance, and value realisation.
  • Evaluate transformation initiatives through strategic value, feasibility, investment, risk, workforce impact, technology readiness, and measurable outcomes.
  • Build an actionable AI-enabled transformation roadmap aligned with enterprise strategy, operating priorities, governance, and long-term business value.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument IntelligenceProcess AnalysisData AnalysisScenario PlanningTransformation Portfolio AnalysisWorkflow AutomationAI AgentsKnowledge AssistantsDecision-Support ToolsAI-Powered Presentations

Who should attend

  • Business Transformation Professionals
  • Transformation Managers
  • Transformation Directors
  • Business Excellence Professionals
  • Enterprise Transformation Professionals
  • Digital Transformation Professionals
  • Operating Model Transformation Professionals
  • Process Transformation Leaders
  • Change & Transformation Managers
  • Transformation Office Professionals
  • Business Process Excellence Leaders
  • Program Transformation Leaders
  • Strategy & Transformation Professionals
  • Continuous Improvement Leaders
  • Senior Managers Responsible for Business Transformation

Prerequisites & Participant Readiness

  • Experience in transformation, strategy, process improvement, business excellence, consulting, or program management
  • Familiarity with business processes, operating models, transformation programs, and performance management
  • Basic awareness of Generative AI and common business applications
  • Prior exposure to digital transformation, automation, or analytics is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, intelligent automation, and AI agents
  • Exploring AI applications across transformation, process redesign, decision support, and business change
  • Distinguishing digitisation, automation, AI augmentation, and enterprise transformation
  • Understanding AI limitations, hallucinations, data dependency, and human accountability
Practical activities
  • Mapping AI opportunities across the business transformation lifecycle
  • Identifying transformation activities suitable for AI augmentation or automation
  • Creating an AI opportunity map for transformation teams

Scenarios

Legacy Process to AI-Enabled Future-State Model

Business Pain Point → Current-State Analysis → Root Causes → Redesign Opportunities → AI & Automation Options → Future-State Process → Business Case → Implementation Plan

Participants use AI to diagnose a complex legacy process, identify inefficiencies, redesign the workflow, evaluate automation opportunities, and create a structured transformation recommendation.

Enterprise Business Transformation Portfolio

Strategic Priorities → Transformation Challenges → Initiative Identification → Value & Feasibility → Dependencies → Business Cases → Governance → Workforce Impact → 12–24 Month Roadmap

Participants build an enterprise transformation portfolio that prioritises AI-enabled initiatives across process, operating model, customer experience, productivity, workforce, governance, and measurable business outcomes.

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