Role-Based Programme
RB1095

AI for Performance Management & MIS

Advanced KPI Intelligence, Management Reporting & Decision Support

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

Programme Objectives

  • Develop advanced capability to apply AI across performance management, MIS reporting, KPI analysis, variance interpretation, and management decision support.
  • Use AI-assisted analysis to identify trends, anomalies, performance gaps, business drivers, risks, and emerging opportunities.
  • Apply AI to improve management reports, dashboards, executive summaries, performance reviews, and action tracking.
  • Build structured approaches for KPI design, target setting, forecasting, performance diagnostics, and corrective-action planning.
  • Create an AI-enabled Performance Management and MIS framework that strengthens reporting quality, management visibility, accountability, and business outcomes.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument IntelligenceData AnalysisKPI AnalysisVariance AnalysisDashboard InterpretationMIS ReportingForecasting SupportScenario AnalysisExecutive Presentation ToolsWorkflow AutomationDecision-Support Tools

Who should attend

  • Performance Management Professionals
  • MIS Professionals
  • MIS Managers
  • Performance Management Managers
  • Business Performance Analysts
  • Management Reporting Professionals
  • Business Planning Professionals
  • Strategy Professionals
  • Business Analysts
  • FP&A Professionals
  • Corporate Planning Professionals
  • Business Intelligence Professionals
  • Performance Excellence Professionals
  • Management Information Analysts
  • Senior Managers Responsible for Business Performance Reporting

Prerequisites & Participant Readiness

  • Experience in MIS, performance management, business reporting, planning, analytics, or management reviews
  • Familiarity with KPIs, dashboards, targets, variance reports, and business performance data
  • Basic awareness of Generative AI and business analytics
  • Comfort working with spreadsheets, reports, and quantitative information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, analytics, and intelligent reporting
  • Exploring AI applications across KPI analysis, MIS reporting, forecasting, and management reviews
  • Distinguishing AI-assisted insight from traditional reporting and business intelligence
  • Understanding hallucinations, data-quality limitations, and human accountability
Practical activities
  • Mapping AI opportunities across the Performance Management and MIS lifecycle
  • Identifying reporting and analytical activities suitable for augmentation or automation
  • Creating an AI opportunity map for MIS and performance teams

Scenarios

Monthly MIS to Executive Performance Review

Business Data → KPI Dashboard → Plan vs. Actual → Variance Analysis → Root Causes → Risks & Opportunities → Corrective Actions → Executive MIS

Participants use AI to transform detailed business information into an executive-ready MIS pack containing performance trends, significant variances, underlying drivers, priority issues, and recommended actions.

Underperforming Business Unit to Recovery Plan

Performance Gap → KPI Analysis → Benchmark Comparison → Root Cause Assessment → Forecast Scenarios → Improvement Actions → Owners & KPIs → Management Review

Participants use AI to diagnose an underperforming business unit, evaluate performance drivers, develop alternative recovery scenarios, and create a measurable action plan for management review.

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