Role-Based Programme
RB1560

AI-Powered Project Controls & Reporting

Smarter Performance Tracking, Forecasting & Management Reporting

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

Programme Objectives

  • Understand how AI can support Project Controls and Reporting across schedule tracking, performance analysis, variance review, forecasting, and management reporting.
  • Explore practical prompting techniques for progress updates, KPI analysis, project-control summaries, and exception reporting.
  • Apply AI to organise project data, identify deviations, highlight trends, and prepare structured management information.
  • Identify opportunities to improve reporting efficiency, data interpretation, project visibility, and decision support.
  • Recognise data accuracy, baseline integrity, governance, forecasting limitations, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Project ControlsSpreadsheet AnalysisSchedule & Milestone ReviewVariance AnalysisRisk & Issue TrackingDashboard ReportingBasic Workflow Automation

Who should attend

  • Project Controls Analysts
  • Project Reporting Analysts
  • Project Control Engineers
  • PMO Analysts
  • Project Analysts
  • Program Controls Professionals
  • Planning & Controls Professionals
  • Project Reporting Executives
  • Cost Control Professionals
  • Schedule Control Professionals
  • Project Management Officers
  • Project Performance Analysts
  • Project & Program Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of project controls, project reporting, or project-management activities
  • Familiarity with schedules, milestones, budgets, KPIs, risks, or status reports is helpful
  • Basic computer and spreadsheet skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Project Controls
  • Identifying AI applications across schedule, cost, progress, risk, and reporting activities
  • Understanding AI assistance versus analyst and Project Manager judgement
  • Recognising activities where validated project data and approved baselines remain mandatory
Practical activities
  • Mapping common Project Controls and Reporting activities to potential AI applications
  • Comparing a traditional reporting task with an AI-assisted approach

Scenarios

Project Performance Data to Controls Summary

Baseline + Actual Progress + Cost Data → AI-Assisted Analysis → Schedule Variances → Cost Variances → Key Risks → Controls Summary

Participants use AI to analyse sample project-control information, identify major deviations, and prepare a structured performance summary for project-management review.

Monthly Project Data to Management Report

Progress Data + KPIs + Risks + Issues + Forecast → AI Consolidation → Trends → Exceptions → Priority Actions → Management Report

Participants use AI to consolidate sample project information into a concise monthly management report highlighting performance, forecast concerns, exceptions, and required actions.

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