Key Benefits for Organisations

This advanced programme helps organisations move from basic AI experimentation to structured AI-enabled project delivery capability.

Organisations benefit from:

• Reduced administrative overhead through automation of repeatable project activities
• Improved project insight through AI-assisted schedule and risk analysis
• More consistent reporting and stakeholder communication
• Better integration between project tools and collaboration platforms
• Strong governance and accountability when introducing AI into delivery environments

For organisations running complex programmes, transformation initiatives or large delivery portfolios, the course provides a structured approach to embedding AI within project operations.

What This Programme Is Designed to Achieve

The programme supports a shift from:

Ad-hoc use of AI tools for individual tasks

to

Structured, repeatable AI-enabled project delivery workflows.

Participants learn how to:

• Move from one-off AI usage to integrated delivery workflows
• Apply AI to planning, monitoring and reporting activities
• Automate repeatable project tasks safely
• Integrate Copilot into the Microsoft project ecosystem
• Maintain human-in-the-loop governance and decision making

The focus is not simply using AI more often — but using it deliberately, safely and effectively within delivery environments.

Course Structure

Duration:
2 Day Advanced Instructor-Led Programme

Includes:

• Two instructor-led training days
• Applied post-course project
• Instructor reinforcement session

The structure ensures participants apply their learning in real project environments rather than forgetting it after the course.

Day 1 – Advanced Copilot Foundations & Schedule Intelligence

Day 1 focuses on using Microsoft Copilot to analyse and interrogate project schedules and delivery artefacts.

Participants learn how AI tools can support delivery intelligence and decision-making.

Topics include:

• Preparing project artefacts and schedules for AI analysis
• Using Copilot to interrogate complex project schedules
• Analysing dependencies, float and critical paths
• Identifying early indicators of schedule risk
• Scenario modelling and “what-if” schedule analysis
• Translating schedule insight into clear stakeholder reporting

By the end of Day 1 participants are able to question and interpret delivery schedules more effectively, not simply review them.

Day 2 – Automation & Intelligent Project Workflows

Day 2 focuses on embedding AI insight into repeatable delivery workflows.

Participants explore how Microsoft Copilot can integrate with tools such as:

• Microsoft Project
• Planner
• Excel
• Power BI
• Teams
• Outlook

Topics include:

• Moving from one-off analysis to continuous delivery insight
• Automating project reporting and documentation
• Using Copilot alongside Power Automate for workflow automation
• Automating stakeholder communication
• Creating intelligent project reporting pipelines
• Designing human-in-the-loop governance controls

The emphasis is on embedding AI into project operations without weakening governance or accountability.

Post-Course Applied Project

Following the training, participants complete a practical applied project within their own project environment.

The project allows participants to:

• Apply Copilot techniques within real project artefacts
• Design an AI-supported workflow within their delivery environment
• Automate elements of reporting or schedule analysis
• Evaluate the impact of AI on project insight and efficiency

Participants then attend a reinforcement session with the instructor to review outcomes, refine workflows and share learning.

This ensures the programme builds lasting capability rather than short-term awareness.

Who Should Attend

This advanced programme is designed for professionals already responsible for project or programme delivery.

Typical participants include:

• Project Managers
• Programme Managers
• PMO Leaders
• Delivery Managers
• Transformation Leaders
• Senior project professionals using Microsoft project tools

The course is particularly valuable for organisations that:

• Are already introducing Microsoft Copilot
• Rely on structured planning and governance processes
• Want to embed AI into delivery operations rather than isolated tasks

Prerequisites

Participants should have either:

• Completed Enhancing Project Delivery with AI – A Practical Introduction and Workshop, or
• Have a working understanding of how AI tools can support project environments.

This programme focuses on advanced application rather than introductory AI concepts.

Private Team Delivery

This programme can also be delivered privately for organisations exploring how AI can support project delivery across their teams.

Private delivery can be provided:

• Virtually for distributed teams
• On-site classroom delivery
• For PMO teams, programme leadership groups or transformation initiatives

Workshops can also be tailored to align with your organisation’s:

• Delivery frameworks
• Microsoft tool environment
• Governance and reporting models

Frequently Asked Questions

Do participants need advanced AI knowledge before attending?
No. Participants should have a basic understanding of AI in project environments, but the course focuses on practical application rather than technical development.

Which Microsoft tools are explored in the course?
The programme explores how Microsoft Copilot can integrate with tools such as Microsoft Project, Planner, Excel, Power BI, Teams and Outlook.

Is the course suitable for PMO teams?
Yes. Many organisations run this programme specifically for PMO teams and delivery leaders exploring how AI can improve reporting, schedule analysis and governance.

Is the course focused on theory or practical use?
The programme is highly practical, focusing on real delivery artefacts such as project schedules, reports and workflows.

Can this programme be delivered privately for our organisation?
Yes. The programme is frequently delivered as a private course for project teams, PMOs and transformation groups, either virtually or on-site.

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What Participants Say

“The course moved us beyond simple AI experimentation. The sections on analysing project schedules with Copilot and identifying early risk indicators were particularly valuable for our programme teams.”
Programme Manager – Infrastructure Programme

“The most useful aspect was learning how AI could support repeatable delivery workflows rather than just individual productivity. The examples integrating Copilot with Microsoft Project, Excel and Power BI were extremely practical.”
PMO Lead – Technology Services

“The schedule interrogation techniques were excellent. Being able to question dependencies, float and critical paths using Copilot gave our team a completely new way of analysing delivery risk.”
Senior Project Manager – Engineering Organisation

“The automation section was particularly valuable. Seeing how reporting, analysis and stakeholder updates could be partially automated while maintaining governance was very powerful.”
Head of Delivery – Financial Services

“What stood out was the focus on embedding AI into delivery operations rather than just using it for isolated tasks. It gave us a clear roadmap for how Copilot could support our PMO processes.”
Transformation Director – Global Technology Firm