Role-Based Programme
RB1101

AI for Business Operations

Process Efficiency, Performance Insights & Smarter Execution

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Business Operations across planning, coordination, process improvement, reporting, and decision support.
  • Apply AI to analyse operational information, identify bottlenecks, monitor performance, and structure improvement actions.
  • Use AI to improve SOPs, business reviews, cross-functional coordination, issue tracking, and management communication.
  • Develop practical skills for process analysis, prioritisation, root-cause exploration, scenario planning, and execution tracking.
  • Understand responsible AI use, confidentiality, data validation, governance, and human accountability in operational decision-making.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisProcess AnalysisOperational ReportingScenario AnalysisExecutive SummarisationAI-Powered Presentation & Communication Tools

Who should attend

  • Business Operations Managers
  • Business Operations Professionals
  • Operations Managers
  • Business Operations Analysts
  • Operations Analysts
  • Process Excellence Professionals
  • Business Excellence Professionals
  • PMO Professionals
  • Business Planning Professionals
  • Operational Excellence Professionals
  • Service Operations Professionals
  • Business Coordinators
  • Cross-Functional Operations Managers
  • Senior Business Operations Leaders

Prerequisites & Participant Readiness

  • Basic understanding of business operations, processes, or performance management
  • Familiarity with operational reports, workflows, KPIs, or coordination activities is helpful
  • Basic understanding of digital business tools
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI, AI assistants, and AI-assisted operational analysis
  • Understanding how AI can support planning, coordination, documentation, reporting, and improvement
  • Distinguishing AI assistance from automation, analytics, and workflow systems
  • Understanding AI limitations, hallucinations, uncertainty, and data-quality risks
Practical activities
  • Identifying recurring Business Operations activities suitable for AI assistance
  • Comparing traditional and AI-assisted approaches to an operational task
  • Mapping potential AI applications across the business-operations lifecycle

Scenarios

Operational Bottleneck to Process Improvement Plan

Business Process → Bottleneck Identification → Evidence → Possible Causes → Improvement Options → Prioritisation → Owners & Actions → Management Review

Participants use AI to analyse a sample operational process, identify bottlenecks and possible causes, compare improvement options, and prepare a structured action plan.

Business Operations Review to Execution Plan

Performance Data → Key Variances → Operational Issues → Priorities → Actions → Owners → Timelines → Management Update

Participants use AI to convert sample operational data and team updates into a structured business-operations review with clear priorities, responsibilities, and follow-up actions.

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