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Jimmi Henvig looking into the horizon with his phone in his hand
AI for PPM

Put AI to Work in Project & Portfolio Management

Integrate AI into the way you manage and govern projects and portfolios. We help identify where AI can deliver value, from automating routine tasks, to optimizing resources, and diving deeper into your analytics. 

Jimmi Henvig looking into the horizon with his phone in his hand

The value of AI in project and portfolio management

Are you spending your time on work that carries no action. Things like writing status updates, chasing missing data, reformatting reports, summarizing meetings, reconciling numbers. AI is good at that work. We help you figure out where it can be used well, from removing the administrative load from your project managers and PMO to giving your leadership sharper analysis - and everything in between.

With AI applied to PPM you get 

  • Less manual reporting - status summaries, meeting notes and updates drafted from the data already in your platform 

  • Faster analysis of the portfolio, with questions answered in natural language instead of a new report request 

  • Better resource decisions, with AI-supported suggestions for allocation, capacity scenarios and skill matching 

  • Earlier warnings, where patterns in schedule, cost and risk data flag the projects most likely to slip 

  • Higher data quality, because AI can spot gaps and inconsistencies that no one has time to look for 

Get started with AI for PPM

AI value comes from well-chosen use cases that maximize impact. We find the sweet spot where your data and your painpoints overlap, and we build from there with your PMO, project managers, IT and data owners. 

Our approach follows three steps.

  • We map how your project and portfolio work is done today and where time disappears into routine tasks. Then we identify and prioritize AI use cases against three questions: how much value it creates, whether your data supports it, and what it takes to get it into daily use. We also assess your readiness - data quality, platform setup, governance and the guardrails your organization needs. 

  • We implement the selected use cases on your existing platform, using Microsoft Copilot, Azure AI services and the AI capabilities in Projectum xPM, so AI works on your live portfolio data rather than in a separate experiment. We define how outputs are reviewed, where a human approves, how sensitive data is handled, and how results are measured. Then we pilot with real projects and adjust based on what the users tell us. 

  • All tools only create value when they are used. Ai is integrated into where you work with clear adoption metrics - once the great results start rolling in, we help you scale. 

Concrete AI use cases for PPM

AI in PPM becomes real when it does specific jobs. The use cases we see deliver value fastest are usually the unglamorous ones. 

Typical starting points:

  • Drafting project status reports and executive summaries from live plan, risk and financial data 

  • Turning meeting notes into decisions, actions and updated risks in the platform 

  • Asking questions of the portfolio in natural language and getting an answer with the underlying numbers 

  • Supporting resource planning with capacity scenarios, allocation suggestions and skill matching 

  • Screening business cases and intake requests for completeness and comparability 

  • Highlighting risk and schedule patterns across projects that a single project review would never surface 

Governed, secure and grounded in your own data

AI in a project organization touches sensitive material: budgets, supplier information, resource performance and strategic plans. We build on Microsoft Copilot and Azure AI inside your existing tenant, so AI operates under the identity, permission and compliance model you already run. Users only ever see the data they were already allowed to see. 

Just as important is governance around the output. We help you define which decisions AI can support and which it can't, how AI-generated content is reviewed before it reaches a steering committee, how outputs are traced back to source data, and how you keep a human accountable for every portfolio decision. The aim is not to hand over judgement - it is to give your people better material to exercise it on. 

Let us find your first AI use case

Tell us where your project organization spends way too much time. From there we can scope an AI readiness and use case assessment, a proof of concept on one high-value use case, or a broader rollout of AI capabilities across your PPM setup. 

Philip Bronsztejn
Managing Director
Philip Bronsztejn looking into the horizon holding a laptop