Role-Based Programme
RB1562

AI-Powered Project Controls & Reporting

Smarter Schedule Analysis, Cost Tracking & Performance Reporting

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

Programme Objectives

  • Apply AI across Project Controls activities including schedule tracking, cost monitoring, progress measurement, variance analysis, forecasting, and reporting.
  • Use AI-assisted techniques to analyse project schedules, budgets, milestones, work-package data, risks, issues, and performance information more efficiently.
  • Develop structured workflows for baseline tracking, progress updates, variance analysis, forecast preparation, and management reporting.
  • Improve project-performance visibility through AI-assisted dashboards, trend analysis, exception identification, and executive commentary.
  • Apply responsible AI practices covering data accuracy, calculation validation, forecast assumptions, source traceability, confidentiality, and human oversight.

Tools covered

Generative AI AssistantsProject Controls AnalyticsSchedule AnalysisCost & Budget AnalysisSpreadsheet AnalysisEarned Value SupportRisk & Issue AnalysisDashboard ReportingDocument IntelligenceWorkflow Automation

Who should attend

  • Project Controls Analysts
  • Project Reporting Analysts
  • Project Controls Engineers
  • PMO Analysts
  • Project Analysts
  • Planning Engineers
  • Cost Control Analysts
  • Project Cost Analysts
  • Scheduling Professionals
  • Project Performance Analysts
  • Program Controls Professionals
  • Project Coordinators
  • Delivery Reporting Professionals
  • Project & Program Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of project controls, planning, reporting, scheduling, or project-performance activities
  • Familiarity with project schedules, budgets, forecasts, milestones, or status reports is helpful
  • Basic spreadsheet and data-analysis skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, automation, and their role in Project Controls
  • Identifying AI applications across planning, cost, schedule, forecasting, and reporting
  • Understanding AI assistance versus Project Controls professional judgement and accountability
  • Recognising risks related to inaccurate project data, weak assumptions, and unsupported forecasts
Practical activities
  • Mapping the Project Controls lifecycle to AI-assisted activities
  • Identifying repetitive analysis and reporting tasks suitable for AI support
  • Comparing traditional and AI-assisted Project Controls workflows

Scenarios

Schedule & Cost Variance to Recovery Plan

Baseline Plan → Actual Progress → AI-Assisted Variance Analysis → Cost & Schedule Exceptions → Root Causes → Forecast Impact → Recovery Actions → Management Report

Participants analyse a simulated project experiencing schedule and cost variance, identify the most significant control issues, assess forecast implications, and prepare a structured recovery report.

Multi-Source Project Data to Executive Performance Dashboard

Schedule Data + Cost Data + Progress Updates + Risks + Changes → AI Analysis → KPIs → Exceptions → Forecast Trends → Executive Dashboard → Action Priorities

Participants consolidate multiple Project Controls data sources, identify emerging performance concerns, and create an executive-ready dashboard with concise commentary, actions, and priorities.

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