Role-Based Programme
RB1567

AI-Powered Project Coordination

Intelligent Scheduling, Documentation, Tracking & Delivery Support

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

Programme Objectives

  • Develop advanced capability to apply AI across project coordination, scheduling, documentation, meeting management, action tracking, reporting, and stakeholder communication.
  • Use AI to organise project plans, task trackers, meeting records, risks, issues, dependencies, change requests, and project documentation.
  • Build repeatable AI-assisted workflows for status collection, follow-up, milestone tracking, project communications, and PMO reporting.
  • Apply AI to identify overdue tasks, dependency risks, incomplete information, recurring delivery issues, and areas requiring escalation.
  • Design responsible AI-enabled Project Coordination workflows with appropriate controls for accuracy, confidentiality, traceability, accountability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisProject Planning AIScheduling ToolsMeeting & Communication AIReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • Project Coordinators
  • Senior Project Coordinators
  • Project Management Coordinators
  • PMO Coordinators
  • Program Coordinators
  • Project Administrators
  • Project Support Officers
  • Project Analysts
  • Delivery Coordinators
  • Implementation Coordinators
  • Transformation Coordinators
  • Project Operations Professionals
  • Project Management Office Professionals
  • Junior Project Managers
  • Project Coordination Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of project coordination, administration, PMO support, delivery, or implementation activities
  • Familiarity with project plans, task trackers, meetings, schedules, action items, risks, and status reports
  • Basic proficiency with spreadsheets, documents, presentations, email, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, Document AI, analytical AI, and workflow automation
  • Mapping AI opportunities across project coordination and administration
  • Understanding AI assistance versus accountable project-management decisions
  • Recognising risks involving inaccurate information, confidentiality, and over-automation
Practical activities
  • Mapping a current Project Coordinator workflow
  • Comparing manual and AI-assisted coordination activities
  • Creating a Project Coordination AI opportunity matrix

Scenarios

Project Kick-Off to Weekly Delivery Coordination

Project Charter → Work Breakdown → Task Tracker → Schedule → Meeting Coordination → Risk / Issue Tracking → Status Collection → Weekly Report → Follow-Up

Participants use AI-assisted techniques to coordinate a simulated project, organise project information, track actions and milestones, manage meetings, and prepare an executive-ready weekly status report.

Multiple Project Inputs to Intelligent Coordination Workflow

Emails + Meeting Notes + Task Updates + Risks + Issues + Milestones → AI Consolidation → Action Extraction → Deadline Monitoring → Automated Reminders → Escalations → Dashboard → Project Manager Review

Participants design an AI-enabled Project Coordination workflow that consolidates fragmented project information, tracks actions and deadlines, automates follow-up, and improves delivery visibility while retaining final decisions with accountable project leaders.

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