Key takeaways:
  • How can AI improve project management? AI enhances project management by automating tasks, improving decision making, and providing real-time insights through tools like Wrike’s Work Intelligence™.
  • What issues do PMOs face with AI adoption? PMOs often struggle with fragmented AI tools that don’t integrate well, leading to silos and inefficiencies.
  • What is Wrike Copilot? Wrike Copilot allows users to query project data effortlessly, providing context-aware answers and visual insights directly related to their projects.
  • What role does the MCP Server play? The MCP Server connects various AI tools to project data in Wrike, enabling seamless integration and improved governance.
  • Why is connected intelligence crucial for PMOs? Connected intelligence allows PMOs to unify systems, streamline workflows, and improve risk management, driving greater ROI.

AI in project management offices (PMO) is no longer a “future of work” slide. It’s in your portfolio reviews, your intake queues, your risk dashboards, and increasingly in the automations running quietly behind the scenes. The question for PMO leaders is how fast you can turn it into an advantage instead of a messy collection of disconnected tools?

Wrike’s Work Intelligence™ tools — including AI agents and Wrike Copilot — are built for that reality. They combine predictive analytics, generative assistance, and no-code automations, enabling PMOs to connect strategy to execution and spend significantly more time on decisions and outcomes than on administration and reporting.

We’ve moved beyond bolt-on features to intelligence. Now imagine a world where projects run on time, risks are managed, and successful delivery is the rule, not the exception. That world is possible with Wrike.

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Why PMOs need connected intelligence now

When people say “we’re using AI,” what they usually mean is “we’ve got a bunch of tools that don’t quite fit together.”

AI adoption has exploded, but a lot of it lives in silos with fragmented data, overlapping point solutions, and quiet shadow usage that brings its own risks. Wrike’s latest research found that:

  • 82% of employees already use AI at work
  • 96% say AI tools that share context would be valuable
  • 51% believe those connections would change how they work

At the same time, 42% admit to using unapproved AI tools because the official stack doesn’t cover what they need.

The signal is hard to miss. Real ROI doesn’t come from more AI; it comes from connected tools that unify people and systems, enabling AI to reason with context and act within the workflow. That’s exactly the gap Wrike’s platform is built to close.

A PMO platform with intelligence baked in

In the past, bringing AI and machine learning into your company would have involved lengthy development and costly investment. Wrike’s PMO work management platform combines Work Intelligence™, generative AI, and AI agents to create an integrated, AI-augmented system for work. This means you get one place to:

  • Align strategy, portfolios, programs, and projects
  • Standardize how work is planned and delivered
  • Layer AI over every stage, from intake and prioritization to execution and reporting

Wrike has been building toward this for years, from expanding Work Intelligence™, AI Project Risk Prediction, and recommended tasks, to launching AI agents and an agent builder, allowing PMOs to design their own intelligent workflows without code.

Accelerating with automation

PMOs are masters at multitasking, but with so many plates spinning in the air, it’s easy to fall behind on one project or another. Automation can take care of that problem by continuously moving in the background to churn through tasks, streamline workflows, slash administrative time, and reduce human error. Let’s look at how this works:

  • Automated workflows and triggers: Wrike makes it easy to set up automated workflows with specific rules that change the status of an item as it progresses. Automatically issue reminders, reassign tasks, and flag delays to keep momentum while you get on with everything else. That way, no task is left lingering, and no deadline is delayed.

  • Automated request forms: Is there anything worse than request forms that generate more questions than answers? With Wrike, you can create custom request forms that automatically route to specific parties, workflows, and blueprints, kick-starting projects fast — with no back-and-forth.

  • Automated blueprints: Make success repeatable with Wrike’s automated blueprints. No need to spend hours manually project planning — simply templatize the steps that work and then click to generate and share a fully developed plan in seconds.

Working smarter with AI in Wrike

The road to PMO execution can be unpredictable, with unexpected market changes and organizational challenges. One of the most valuable benefits of AI in project management is the ability to manage uncertainty and minimize disruptions by using smarter, safer ways of working. 

Empowering PMO teams with the best AI tools available helps make project management a smoother, more successful process for all. These features include: 

Wrike Copilot

Wrike Copilot replaces the ritual of digging through folders and pinging teammates for status updates. Ask questions in plain language, like “What’s overdue in this project?”, “Summarize risks for Q4 delivery,” “Show a trendline of on‑time completion this quarter,” and get:

  • Scoped, context‑aware answers for the space, folder, or project you’re in
  • Charts and rollups when numbers carry the story
  • Linked references to jump straight to the source
  • AI content creation and editing for briefs, status notes, and meeting follow‑ups

Copilot is purpose‑built for the PMO signal: it reads the work where it lives, then brings the right detail up to the surface.

Wrike AI agents

Traditional automations follow rules. Wrike’s AI agents apply judgment, watch work in real time, and decide what to do next instead of waiting for you to click around and clean things up. There are three out-of-the-box agents, plus an agent builder if you want to customize your own.

  • The intake agent validates new requests for completeness and posts structured checks (such as deadline, scope, links, and owner).
  • The triage agent classifies incoming work and sets custom fields (such as priority, type, and category) to route items correctly.
  • The risk agent scans projects on a schedule and posts health updates, including overdue items, blockers, and trend observations.

MCP Server

Most AI tools live in their own little bubbles, but the MCP Server is the piece that blows that up. In Wrike, the Model Context Protocol (MCP) Server securely bridges AI to real project data. Connect Microsoft Copilot, Claude Desktop, Cursor, and others — then create and manage Wrike items with natural language via your preferred assistant. 

MCP breaks down tool silos without compromising governance, which allows PMOs to orchestrate work across systems while maintaining Wrike as the authoritative source of truth.

See Wrike AI in action for your PMO

AI is already in your organization. The real choice is whether it sits in disconnected pockets or inside a platform that understands your projects, your portfolios, and your context.

Wrike brings together various forms of agentic and generative AI and connected tools into one place so PMOs can:

  • Spot and manage risk before it turns into fire-drill mode
  • Automate the repetitive work that slows teams down
  • Turn day-to-day activity into clear, actionable insight

If you’re ready to move from scattered AI experiments to a connected, AI-driven PMO, start a free two-week Wrike trial and take it for a spin.

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