Role-Based Programme
RB1100

AI for Business Operations

Process Efficiency, Performance Insights & Smarter Operational Decisions

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, coordination, performance monitoring, and decision support.
  • Explore practical AI applications for analysing operational data, identifying bottlenecks, improving workflows, and preparing management reports.
  • Apply structured prompting techniques to generate operational insights, action plans, summaries, and improvement ideas.
  • Use AI to improve productivity across recurring reports, process documentation, meetings, planning, and stakeholder communication.
  • Recognise data accuracy, confidentiality, governance, operational risk, and human-review requirements when using AI in Business Operations.

Tools covered

Generative AI AssistantsDocument AnalysisData AnalysisProcess AnalysisKPI AnalysisOperational ReportingWorkflow PlanningAI-Powered Presentation & Communication Tools

Who should attend

  • Business Operations Professionals
  • Business Operations Managers
  • Operations Analysts
  • Business Operations Analysts
  • Operations Managers
  • Business Managers
  • Process Excellence Professionals
  • Business Excellence Professionals
  • Operations Coordinators
  • Program Operations Professionals
  • Business Planning Professionals
  • PMO Professionals
  • Strategy & Operations Professionals
  • Transformation Professionals
  • Functional Operations Leaders

Prerequisites & Participant Readiness

  • Basic understanding of business or operational processes
  • Familiarity with reports, workflows, KPIs, or operational coordination is helpful
  • Basic analytical and business-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 processes, performance, coordination, reporting, and decision support
  • Understanding the difference between AI assistance, automation, analytics, and operational judgement
  • Recognising AI limitations, hallucinations, incomplete information, and unsupported conclusions
Practical activities
  • Identifying high-value AI applications across recurring Business Operations activities
  • Comparing a traditional operational task with an AI-assisted approach

Scenarios

Operational Process to Improvement Plan

Current Process → AI-Assisted Analysis → Bottlenecks & Gaps → Improvement Opportunities → Prioritisation → Actions & Owners → Improvement Plan

Participants use AI to analyse a sample business process, identify operational inefficiencies, and develop a structured improvement plan for management review.

Business Performance to Management Action

Operational Data → KPI Analysis → Trends & Variances → Issues & Opportunities → Priority Actions → Owners → Management Update

Participants use AI to analyse sample Business Operations data, identify key performance issues and opportunities, and convert the findings into a concise management action plan.

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