Role-Based Programme
RB0422

Meta AI & Manus for Project & Program Management

Explore AI-Assisted Planning, Research & Project Execution

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

Programme Objectives

  • Understand how Meta AI and Manus can support project research, planning, coordination, reporting, and delivery activities.
  • Explore AI-assisted approaches for structuring project information, risks, issues, dependencies, and stakeholder requirements.
  • Experience the difference between conversational AI assistance and multi-step agentic task execution.
  • Identify practical opportunities for accelerating project documentation, status reviews, research, and management communication.
  • Recognise validation, confidentiality, permissions, governance, and human accountability requirements in AI-assisted project delivery.

Tools covered

Meta AIManus AIDeep ResearchManus ProjectsAI AgentsConnected WorkflowsDocument & Presentation Generation

Who should attend

  • Project Managers
  • Program Managers
  • Project Coordinators
  • Program Coordinators
  • PMO Professionals
  • Delivery Managers
  • Implementation Managers
  • Project Analysts
  • Transformation Project Professionals
  • Project Leads
  • Program Leads
  • Portfolio Coordination Professionals

Prerequisites & Participant Readiness

  • Basic understanding of project or program management
  • Familiarity with project plans, milestones, risks, issues, actions, and stakeholder communication
  • General awareness of generative AI is helpful
  • No coding or AI-development knowledge required
  • No previous Meta AI or Manus experience required

TOC Modules

Concepts
  • Understanding conversational AI, research assistants, AI agents, and multi-step task execution
  • Comparing Meta AI for rapid research and information support with Manus for delegated project tasks
  • Mapping AI opportunities across Initiate → Plan → Execute → Monitor → Close
  • Differentiating AI-generated suggestions from approved project decisions and commitments
Practical activities
  • Mapping Project Activity → Meta AI / Manus Capability → Human Review → Delivery Outcome

Scenarios

Project Requirement to Structured Delivery Plan

Business Requirement → Meta AI-Assisted Analysis → Objectives & Scope → Milestones → Risks & Dependencies → Project Manager Validation → Delivery Plan

Participants explore how AI can transform fragmented project inputs into a structured initial plan while keeping scope, estimates, priorities, and commitments under project-manager ownership.

Project Status to Agent-Assisted Management Brief

Project Updates → Manus Task Delegation → Information Synthesis → Risks & Outstanding Actions → Status Brief → Human Review → Stakeholder Communication

Participants experience a multi-step agentic workflow that converts project information into a management-ready update while maintaining validation and approval checkpoints before stakeholder use.

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