Role-Based Programme
RB1050

AI for General Managers

Business Performance, Operational Excellence & Strategic Decision-Making

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for business planning, performance management, operational leadership, and management decision-making.
  • Apply AI to analyse business data, customer information, operational issues, market developments, risks, and improvement opportunities.
  • Use AI to improve management reviews, reporting, meetings, communication, resource planning, and cross-functional coordination.
  • Identify and prioritise AI opportunities that can improve productivity, service quality, cost efficiency, customer outcomes, and business performance.
  • Apply responsible AI practices related to confidentiality, data quality, bias, governance, accountability, and human judgement.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisExecutive SummarisationScenario AnalysisPresentation ToolsMeeting IntelligenceKnowledge AssistantsWorkflow Automation Concepts

Who should attend

  • General Managers
  • Senior General Managers
  • Business General Managers
  • Regional General Managers
  • Operations General Managers
  • Functional General Managers
  • Plant General Managers
  • Commercial General Managers
  • Service General Managers
  • Area General Managers
  • Business Unit Leaders
  • Department Heads
  • P&L Managers
  • Senior Operations Leaders
  • Senior Management Professionals

Prerequisites & Participant Readiness

  • Experience in general management, functional leadership, or business operations
  • Familiarity with business planning, KPIs, performance reviews, and operational reporting
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret business reports and structured information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Exploring AI applications across operations, customers, finance, workforce, and business management
  • Understanding how AI differs from search, analytics, automation, and business intelligence
  • Recognising hallucinations, incomplete context, uncertainty, and AI limitations
Practical activities
  • Mapping General Manager responsibilities to relevant AI applications
  • Identifying high-value and low-value management use cases
  • Comparing traditional and AI-assisted management workflows

Scenarios

Business Performance Challenge to Recovery Plan

Performance Data → KPI Analysis → Customer & Operational Context → Root-Cause Questions → Improvement Options → Resource Priorities → Action Plan → Management Review

Participants use AI to analyse a simulated business-performance challenge, identify potential drivers, compare corrective actions, and build a structured recovery plan.

AI-Enabled Operational Transformation Roadmap

Business Priorities → Process Pain Points → AI Use Cases → Value & Feasibility Assessment → Risk Review → Prioritisation → 90-Day Actions → 12-Month Roadmap

Participants identify AI opportunities across a sample business area, assess them against business and implementation criteria, and develop a phased transformation roadmap.

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