Role-Based Programme
RB1293

AI for Business Operations

Smarter Processes, Operational Insights & Performance Improvement

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Business Operations across process analysis, planning, reporting, coordination, and continuous improvement.
  • Apply AI to analyse operational data, recurring issues, process bottlenecks, workload patterns, and business-performance gaps.
  • Use AI to improve SOPs, workflow documentation, meeting follow-ups, operational reports, and management summaries.
  • Develop practical skills for process improvement, root-cause exploration, prioritisation, productivity enhancement, and decision support.
  • Understand responsible AI use, confidentiality, data quality, bias, governance, and human oversight in operational decision-making.

Tools covered

Generative AI AssistantsAI Search & ResearchProcess AnalysisWorkflow MappingOperational Data AnalysisRoot-Cause Analysis SupportSOP DevelopmentProductivity AnalysisPerformance ReportingContinuous Improvement Planning

Who should attend

  • Business Operations Managers
  • Business Operations Executives
  • Operations Managers
  • Operations Executives
  • Business Operations Analysts
  • Operations Analysts
  • Process Excellence Professionals
  • Continuous Improvement Professionals
  • Business Process Managers
  • Operational Excellence Professionals
  • Business Coordinators
  • Functional Operations Professionals
  • Management Reporting Professionals
  • Operations Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of business operations, workflows, or organisational processes
  • Familiarity with operational reports, process documentation, KPIs, or coordination activities is helpful
  • Basic spreadsheet, communication, and digital-tool skills
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Business Operations
  • Exploring AI support across process analysis, planning, documentation, reporting, and decision support
  • Distinguishing AI assistance from workflow automation, analytics, ERP, and business-intelligence systems
  • Understanding AI limitations, hallucinations, bias, and operational risks
Practical activities
  • Identifying recurring Business Operations activities suitable for AI assistance
  • Comparing traditional and AI-assisted operational workflows
  • Mapping AI opportunities across the business-operations lifecycle

Scenarios

Operational Bottleneck to Process Improvement Plan

Current Process → Workflow Mapping → Bottlenecks → Performance Data → Root-Cause Hypotheses → Improvement Options → Priority Actions → Management Review

Participants use AI to analyse a sample operational workflow, identify delays and inefficiencies, and develop an evidence-based process-improvement plan.

Operations Data to Management Action Plan

Operational KPIs → Trend & Variance Analysis → Performance Gaps → Possible Causes → Priority Issues → Corrective Actions → Owners & Timelines → Executive Summary

Participants use AI to analyse sample business-operations data, identify key performance gaps, and prepare a structured action plan and management summary.

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