Role-Based Programme
RB1706

AI-Powered Facilities Management

Smarter Maintenance, Service Delivery & Facility Performance

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

Programme Objectives

  • Apply AI across Facilities Management activities including maintenance, inspections, service requests, vendor coordination, utilities, space, and operational reporting.
  • Use AI-assisted techniques to improve preventive maintenance planning, issue analysis, service prioritisation, documentation, and facility performance.
  • Develop structured workflows for work orders, inspections, maintenance schedules, vendor services, incidents, and facility improvement activities.
  • Analyse facility, maintenance, energy, service, and vendor data to identify recurring problems, operational risks, cost drivers, and improvement opportunities.
  • Apply responsible AI practices covering workplace safety, sensitive facility information, accuracy, approvals, security, and human oversight.

Tools covered

Generative AI AssistantsDocument IntelligenceSpreadsheet AnalysisMaintenance Data AnalysisVisual & Image AnalysisVendor & SLA AnalysisWorkplace AnalyticsReporting AssistanceWorkflow Automation

Who should attend

  • Facilities Managers
  • Assistant Facilities Managers
  • Facilities Executives
  • Facility Coordinators
  • Workplace Operations Managers
  • Administration Managers
  • Maintenance Coordinators
  • Facility Engineers
  • Site Operations Professionals
  • Corporate Services Professionals
  • Property Operations Professionals
  • Vendor Management Professionals
  • Workplace Experience Professionals
  • Administration & Facilities Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of facilities, maintenance, workplace, or building operations
  • Familiarity with service requests, maintenance schedules, vendors, inspections, or operational reports
  • Basic spreadsheet and office-productivity skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, computer vision, and automation in Facilities Management
  • Identifying AI opportunities across maintenance, services, utilities, inspections, vendors, and reporting
  • Understanding AI assistance versus facilities, engineering, and safety accountability
  • Recognising repetitive and information-intensive activities suitable for AI support
Practical activities
  • Mapping the Facilities Management lifecycle to AI-assisted activities
  • Identifying manual facility-management tasks that can be streamlined
  • Comparing traditional and AI-assisted Facilities Management workflows

Scenarios

Facility Breakdown to Corrective Action

Facility Issue → AI-Assisted Classification → Priority Assessment → Work Order → Technician / Vendor Coordination → Repair → Verification → Root-Cause Review → Closure

Participants manage a realistic facility breakdown using AI to structure the issue, coordinate actions, track service progress, document findings, and prepare a closure report while retaining technical and safety decisions with authorised professionals.

Facility Performance Data to Improvement Plan

Work Orders + Maintenance History + Utility Data + Vendor SLA Performance → AI Analysis → Trends & Exceptions → Priority Issues → Improvement Actions → Management Brief

Participants consolidate multiple facility data sources, identify recurring failures, service bottlenecks, consumption concerns, and vendor-performance issues, then prepare a management-ready Facilities Management improvement plan.

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