Role-Based Programme
RB1338

AI for Operations

Process Intelligence, Performance Optimisation & Operational Decision-Making

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities across business operations, service delivery, process improvement, workforce planning, inventory, logistics, and reporting.
  • Apply AI to analyse workflows, operational data, KPIs, bottlenecks, capacity, risks, exceptions, and recurring performance issues.
  • Use AI to improve process documentation, root-cause analysis, resource planning, operational reporting, and management decision support.
  • Strengthen operational performance through structured prioritisation, workflow optimisation, scenario analysis, and continuous improvement.
  • Apply responsible AI practices related to operational data, confidentiality, accuracy, safety, governance, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchProcess AnalysisOperational Data AnalysisKPI AnalysisRoot-Cause AnalysisCapacity & Resource AnalysisRisk & Exception AnalysisSOP & Knowledge ManagementWorkflow OptimisationManagement ReportingExecutive Summarisation

Who should attend

  • Operations Managers
  • Business Operations Professionals
  • Operations Executives
  • Operations Analysts
  • Service Operations Professionals
  • Supply Chain & Logistics Professionals
  • Workforce & Resource Planning Professionals
  • Process Excellence Professionals
  • Operational Excellence Professionals
  • Production & Manufacturing Professionals
  • Inventory Management Professionals
  • Operations Reporting & MIS Professionals
  • Shared Services Professionals
  • Operations Team Leaders
  • Operations Heads

Prerequisites & Participant Readiness

  • Experience in operations, business processes, service delivery, supply chain, workforce planning, manufacturing, or operational reporting
  • Familiarity with operational KPIs, workflows, SOPs, service levels, and management reporting
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret operational and business information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across process management, planning, service delivery, analysis, and reporting
  • Understanding how AI complements ERP, workflow, BI, WMS, MES, and operational systems
  • Recognising hallucinations, unsupported recommendations, and operational limitations
Practical activities
  • Mapping major operations activities to practical AI use cases
  • Identifying high-value versus high-risk applications
  • Comparing traditional and AI-assisted operating workflows

Scenarios

Declining Operational Performance to Recovery Plan

KPI Review → Process Mapping → Bottleneck Analysis → Root-Cause Investigation → Capacity Review → Risk Assessment → Corrective Actions → Recovery Roadmap

Participants use AI to investigate a simulated decline in operational performance, identify the strongest contributing factors, and develop a structured recovery plan covering process, capacity, risk, and execution.

Complex Operations Portfolio to Optimisation Strategy

Operational Data → Workflow Analysis → Resource & Capacity Review → Service & Inventory Risks → Improvement Priorities → Scenario Planning → Management Actions → Operations Strategy

Participants use AI to analyse a simulated operations portfolio, identify the most important performance and resource issues, prioritise improvement opportunities, and develop a management-ready operational optimisation strategy.

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