Role-Based Programme
RB1334

AI for Operations Reporting & MIS

Performance Analytics, Management Insights & Decision Support

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

Programme Objectives

  • Develop practical AI capabilities for operational reporting, MIS preparation, KPI analysis, and management decision support.
  • Apply AI to analyse operational data, trends, variances, exceptions, bottlenecks, and recurring performance issues.
  • Use AI to improve daily, weekly, and monthly reporting, commentary generation, data summarisation, and management-review preparation.
  • Strengthen operational decision-making by converting data into structured insights, business implications, priorities, and actions.
  • Apply responsible AI practices related to data accuracy, confidentiality, source validation, reporting integrity, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchOperational Data AnalysisKPI AnalysisVariance AnalysisMIS ReportingDashboard InterpretationTrend AnalysisRoot-Cause AnalysisData SummarisationManagement ReportingExecutive Summarisation

Who should attend

  • Operations MIS Executives
  • MIS Analysts
  • Operations Analysts
  • Reporting Analysts
  • Management Information System Professionals
  • Operations Managers
  • Business Operations Professionals
  • Performance Management Analysts
  • Service Operations Analysts
  • Business Reporting Professionals
  • Operational Excellence Professionals
  • Process Analysts
  • Team Leaders & Supervisors
  • Operations Planning Professionals
  • Operations Leaders

Prerequisites & Participant Readiness

  • Experience in operations reporting, MIS, data analysis, business operations, or performance management
  • Familiarity with operational KPIs, reports, spreadsheets, dashboards, and management reviews
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret operational and business data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across reporting, analysis, commentary, and decision support
  • Understanding how AI differs from BI, ERP, spreadsheet, dashboard, and reporting platforms
  • Recognising hallucinations, calculation errors, unsupported conclusions, and reporting risks
Practical activities
  • Mapping the operations reporting lifecycle to practical AI use cases
  • Identifying high-value versus high-risk reporting applications
  • Comparing traditional and AI-assisted MIS workflows

Scenarios

Monthly MIS to Management Action Plan

Operational Data → Data Quality Review → KPI Analysis → Variance Analysis → Root-Cause Hypotheses → Management Commentary → Action Tracker → MIS Pack

Participants use AI to analyse a simulated monthly operations dataset, identify major performance movements, develop evidence-based commentary, and create a management-ready MIS report with actions.

Declining KPI Performance to Executive Decision Brief

Dashboard Review → Exception Identification → Trend Analysis → Root-Cause Investigation → Risk Assessment → Scenario Analysis → Priority Actions → Executive Brief

Participants use AI to investigate a simulated decline in operational KPIs, identify the most significant issues and likely drivers, and prepare a concise executive decision-support brief.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.