Role-Based Programme
RB1056

AI for Operations & Plant Heads

Smarter Plant Performance, Operational Excellence & Decision-Making

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

Programme Objectives

  • Understand how AI can support Operations and Plant Heads across production, productivity, quality, maintenance, safety, resource planning, and operational decision-making.
  • Explore practical AI applications for analysing plant performance, identifying bottlenecks, reviewing operational issues, and improving management visibility.
  • Apply structured prompting techniques to generate operational insights, summaries, action plans, and management recommendations.
  • Use AI to improve productivity across plant reports, shift reviews, meetings, SOP-related documentation, and stakeholder communication.
  • Recognise safety, confidentiality, data accuracy, governance, and human-accountability requirements when using AI in plant and operations leadership.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisExecutive SummarisationOperational ReportingScenario AnalysisAI-Powered Presentation & Communication Tools

Who should attend

  • Plant Heads
  • Operations Heads
  • Manufacturing Heads
  • Factory Heads
  • Plant Managers
  • Operations Directors
  • Production Heads
  • Manufacturing Managers
  • Site Heads
  • Unit Heads
  • Operations General Managers
  • Engineering Heads
  • Maintenance Heads
  • Operational Excellence Leaders
  • Senior Plant Leadership Team Members

Prerequisites & Participant Readiness

  • Experience in plant, manufacturing, production, or operations management
  • Familiarity with plant KPIs, operational reviews, production planning, or maintenance activities
  • Basic understanding of quality, safety, productivity, and operational-performance information
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to plant and operations leadership
  • Exploring applications across production, maintenance, quality, safety, workforce, and reporting
  • Understanding the difference between AI assistance, analytics, automation, and operational judgement
  • Recognising AI limitations, hallucinations, incomplete information, and unsupported recommendations
Practical activities
  • Identifying high-value AI opportunities within recurring Plant Head and Operations Head activities
  • Comparing a traditional operational-management task with an AI-assisted approach

Scenarios

Plant Performance Gap to Operational Action Plan

Plant Data → AI-Assisted Analysis → Downtime & Productivity Gaps → Possible Causes → Priority Actions → Owners & Timelines → Plant Review

Participants analyse sample plant-performance information, identify productivity and operational gaps, and create a structured action plan for management review and specialist validation.

Recurring Operational Issue to Management Decision

Operational Issue → Evidence & History → Pattern Analysis → Possible Causes → Risks → Corrective Options → Leadership Summary

Participants use AI to structure a recurring plant issue, organise available evidence, identify potential areas for investigation, and prepare a concise management summary while retaining final technical and safety decisions with authorised specialists.

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