Role-Based Programme
RB1292

AI for Business Operations

Smarter Processes, Performance Insights & Operational Decision-Making

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

Programme Objectives

  • Understand how AI can support Business Operations across process management, performance monitoring, reporting, and decision support.
  • Explore practical AI applications for analysing workflows, operational issues, recurring bottlenecks, and business-performance information.
  • Apply structured prompting techniques to create process summaries, operational reports, action plans, and improvement recommendations.
  • Use AI to improve productivity across daily operations, stakeholder coordination, documentation, meetings, and management reporting.
  • Recognise data quality, confidentiality, bias, automation risk, and human-review requirements when using AI in Business Operations.

Tools covered

Generative AI AssistantsProcess AnalysisOperational ReportingKPI AnalysisWorkflow OptimizationIssue & Risk AnalysisMeeting & Action SummarizationBusiness DocumentationAI-Powered Productivity Tools

Who should attend

  • Business Operations Executives
  • Business Operations Managers
  • Operations Executives
  • Operations Managers
  • Business Operations Analysts
  • Operations Analysts
  • Business Process Professionals
  • Process Improvement Professionals
  • Operational Excellence Professionals
  • Business Coordinators
  • Program Operations Professionals
  • Business Support Professionals
  • Performance Management Professionals
  • Operations Planning Professionals
  • Business Operations Team Leads

Prerequisites & Participant Readiness

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

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Business Operations
  • Exploring AI applications across workflows, reporting, process improvement, coordination, and decision support
  • 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 Business Operations workflow
  • Comparing a traditional operational task with an AI-assisted approach

Scenarios

Business Process to Operational Improvement Plan

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

Participants use AI to review a sample business process, identify inefficiencies and coordination gaps, and prepare a structured operational-improvement plan.

Operational Data to Management Action Plan

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

Participants use AI to analyse sample business-operations data, identify areas requiring attention, and prepare a concise management action plan.

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