Role-Based Programme
RB1707

AI-Powered Facilities Management

Smart Maintenance, Asset Intelligence & Operational Automation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across facilities planning, maintenance, inspections, asset support, service requests, vendor coordination, and reporting.
  • Use AI to analyse maintenance records, work orders, service data, facility documents, asset information, utility data, and operational reports.
  • Build repeatable AI-assisted workflows for preventive maintenance, issue management, inspections, vendor coordination, resource planning, and escalation.
  • Apply AI to identify recurring facility issues, maintenance patterns, operational risks, cost drivers, and improvement opportunities.
  • Design responsible AI-enabled Facilities Management workflows with appropriate controls for safety, security, confidentiality, technical accuracy, approvals, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisMaintenance AnalyticsVisual AIAsset & Facility Data AnalysisReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Facilities Managers
  • Facilities Executives
  • Facility Coordinators
  • Facility Engineers
  • Administration Managers
  • Workplace Managers
  • Property & Facility Operations Professionals
  • Maintenance Coordinators
  • Site Operations Professionals
  • Corporate Services Professionals
  • Building Operations Professionals
  • Workplace Operations Professionals
  • Asset & Maintenance Professionals
  • Technical Services Coordinators
  • Facilities Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Facilities Management, maintenance, building operations, or workplace services
  • Familiarity with work orders, maintenance records, assets, inspections, vendors, or facility-service processes
  • Basic proficiency with spreadsheets, documents, email, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, document intelligence, and workflow automation
  • Mapping AI opportunities across maintenance, assets, inspections, workplace services, and facility operations
  • Understanding AI assistance versus qualified engineering, safety, and Facilities Management judgement
  • Identifying repetitive, information-intensive, and coordination-heavy activities suitable for AI
Practical activities
  • Mapping an existing Facilities Management lifecycle and identifying AI opportunities
  • Comparing manual and AI-assisted facility-management activities
  • Creating a Facilities Management AI opportunity matrix

Scenarios

Facility Maintenance Data to Reliability Improvement Plan

Work Orders + Asset Data + Maintenance History + Downtime + Vendor Performance → AI Analysis → Recurring Failures → Priority Assets → Maintenance Actions → Management Plan

Participants use AI-assisted analysis to review facility maintenance information, identify recurring issues and priority assets, and prepare a structured reliability-improvement plan for Facilities Management review.

Facility Request to Automated Service Resolution

Facility Request → AI Classification → Priority → Work Order → Internal / Vendor Assignment → SLA Tracking → Escalation → Resolution → Verification → Management Reporting

Participants design an AI-assisted facilities service workflow that improves response speed, maintenance coordination, accountability, and management visibility while retaining all technical and safety-critical decisions with qualified personnel.

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