Role-Based Programme
RB1336

AI for Operations

Smarter Processes, Performance Insights & Operational Decision-Making

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Operations across process management, performance monitoring, issue analysis, planning, and reporting.
  • Explore practical AI applications for improving workflows, identifying bottlenecks, analysing operational information, and supporting daily decisions.
  • Apply structured prompting techniques to create process summaries, operational reports, issue analyses, and action plans.
  • Use AI to improve productivity across coordination, documentation, performance reviews, continuous improvement, and management reporting.
  • Recognise data quality, confidentiality, safety, bias, automation risk, and human-review requirements when using AI in Operations.

Tools covered

Generative AI AssistantsOperational Data AnalysisProcess AnalysisWorkflow OptimizationKPI & Performance AnalysisIssue & Risk AnalysisReporting & SummarizationAction PlanningAI-Powered Productivity Tools

Who should attend

  • Operations Executives
  • Operations Managers
  • Operations Analysts
  • Business Operations Professionals
  • Service Operations Professionals
  • Manufacturing Operations Professionals
  • Supply Chain Operations Professionals
  • Logistics & Warehouse Professionals
  • Workforce Operations Professionals
  • Process Excellence Professionals
  • Operational Quality Professionals
  • MIS & Reporting Professionals
  • Operational Excellence Professionals
  • Service Delivery Professionals
  • Operations Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of business or operational processes
  • Familiarity with workflows, KPIs, reports, or operational issues is helpful
  • Basic analytical, communication, and problem-solving skills
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding AI and Generative AI in the context of business operations
  • Exploring AI applications across planning, processes, performance, reporting, and problem solving
  • Understanding the difference between AI assistance, automation, analytics, and operational judgement
  • Recognising AI limitations, hallucinations, incomplete context, and unsupported recommendations
Practical activities
  • Identifying high-value AI applications across a typical operations workflow
  • Comparing traditional operational activities with AI-assisted approaches

Scenarios

Operational Process to Efficiency Improvement Plan

Current Process → AI-Assisted Analysis → Bottlenecks → Repetitive Work → Risks & Dependencies → Improvement Options → Action Plan

Participants use AI to review a sample operational process, identify inefficiencies and risks, and prepare a structured improvement plan for operational validation.

Operations Data to Management Action Plan

Operational KPIs → AI-Assisted Analysis → Trends & Exceptions → Performance Gaps → Possible Drivers → Priority Actions → Management Summary

Participants use AI to analyse sample operational-performance information, identify key issues and improvement opportunities, and create a concise management-ready action plan.

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