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How Microsoft Planner Agent Can Support Better Project Delivery Outcomes

Published 23/07/2026

Author: The CPS Team

For decades, project teams have relied on processes, tools and reporting frameworks to improve delivery. Yet many organisations still face the same challenges: 

  • Projects that drift away from objectives 
  • Risks identified too late 
  • Limited visibility across portfolios 
  • Teams spending more time reporting than delivering 
  • Difficulty balancing demand, capacity and priorities 

Artificial Intelligence is beginning to change this. 

The next evolution of AI is not simply about helping people complete tasks faster. It is about creating intelligent capabilities that can actively support better decisions, improve delivery confidence and help organisations achieve better project outcomes. 

This is where AI agents come in. 

From AI Assistance to AI-Driven Outcomes

The first wave of workplace AI focused on productivity, helping people write documents, summarise information and find answers faster. 

The next wave is focused on outcomes. 

AI agents can work alongside project professionals by monitoring information, identifying patterns, automating activities and supporting decisions throughout the project lifecycle. 

Instead of asking: 

“How can AI help me complete this task?” 

organisations are beginning to ask: 

“How can AI help us deliver better projects?” 

This shift changes the conversation from automation to transformation. 

A Few of the
Outcomes AI
Agents Can Help
Deliver

1. Earlier Risk Identification and More Predictable Delivery

One of the biggest challenges for project teams is identifying problems before they impact delivery.

Traditional approaches often rely on periodic reporting cycles, meaning risks may only become visible weeks after they emerge.

AI agents can continuously analyse project information, helping teams identify:

- Emerging risks and blockers
- Delayed activities
- Dependencies impacting delivery
- Changes in project health

The result?

A move from reactive project management towards proactive intervention.

2. More Time for Strategic Project Leadership

Project managers and PMO teams spend significant time on administrative activities:

- Updating plans
- Creating reports
- Gathering status information
- Preparing governance updates

While these activities are necessary, they can take focus away from strategic leadership.

AI agents can help reduce this administrative burden by supporting activities such as:

- Generating project updates
- Preparing status reports
- Summarising key changes
- Highlighting areas requiring attention
- Capturing metting discussions and decisions
- Turning meeting notes into actioanble tasks and follow up activities
- Updating work plans based on agreed actions

Emerging capabilities such as Planner Agent in Microsoft 365 Copilot can help teams move seamlessly from conversation to action by identifying next steps, creating tasks and supporting work management directly within the flow of work.

This allows project professionals to spend less time on administration and more time making decisions, managing stakeholders, mitigating risks and driving successful project and driving successful outcomes.

3. Better Portfolio Decision-Making

For portfolio leaders, having access to accurate and timely information is critical.

Traditionally, gaining this insight has relied on status meetings, reports, spreadsheets and manual data gathering. AI is changing this by enabling leaders to query project and portfolio data using natural language and receive immediate, relevant answers.

This can help organisations quickly understand:

- Which initiatives are progressing successfully
- Where resources are under pressure
- Which projects face increasing risk
- Whether investments continue to align with business objectives

By making project information easier to access and analyse, AI can help portfolio leaders make faster, better-informed decisions, improve prioritisation and focus attention where it is needed most.

4. Improved Governance Without Increased Administration

Effective governance is essential for successful delivery, but traditional governance processes can sometimes create additional workload.

AI agents can help create a more intelligent approach to governance by supporting:

- Automated reporting
- Compliance checks
- Data quality monitoring
- Consistent project updates

The future of governance is not more processes, it is smarter processes.

The Rise of the Agentic PMO

The introduction of AI agents marks a significant shift in how PMOs could operate. 

The future PMO will not simply collect information and report on project performance. It will become more proactive, insight-driven and connected. Think of this as having a PMO member always working and constantly horizon-scanning your portfolio.

This is the vision of the Agentic PMO. 

An Agentic PMO combines human expertise with AI-powered agents that support key project and portfolio activities, including: 

  • Risk management 
  • Resource optimisation 
  • Governance 
  • Benefits realisation 
  • Financial management 
  • Dependency management 
  • Quality assurance 

Rather than replacing project professionals, AI agents enhance their ability to make informed decisions and focus on the activities that create the greatest value. 

What This Means for Organisations

AI agents are still evolving, but the direction is clear. 

Organisations that successfully adopt AI will not simply focus on implementing new technology. They will focus on identifying where AI can improve outcomes across their project delivery landscape. 

The question is no longer: 

“Where can we use AI?” 

The question is: 

“Which project outcomes do we want to improve, and how can AI help us achieve them?” 

What’s Next from CPS?

At CPS, we are continuing to explore how AI agents, Microsoft Copilot and modern Project and Portfolio Management capabilities can help organisations improve delivery outcomes. 

Following our exploration of Planner Agent, we will continue looking at how AI can support different roles across the PMO ecosystem, including: 

  • The Agentic Project Manager 
  • The Agentic PMO 

Join Sam Graber in our upcoming webinar series as we explore how AI is reshaping Project and Portfolio Management and what organisations should be considering as they prepare for the future. 

The future of project delivery is not about AI replacing people. 

It is about giving project professionals the intelligence, insight and support they need to deliver better outcomes. 

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