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Portfolio Simulation & Scenario building

Create & Compare scenarios. Commit with Confidence.

Projectum xPM Portfolio Simulation lets you model and evaluate portfolio scenarios before execution based on real data. Simulate different combinations of initiatives resources, and budgets to identify the best possible portfolio. Create a portfolio that’s aligned to strategy and ready for real-world constraints. 

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Built on your Microsoft Tech Stack

Conntected to dataverse, so you can simulate on real data and real constraints. 

AI and Beyond

Works with AI

Projectum xPM Portfolio Simulation has built-in AI features letting you create and analyze scenarios with the help and guidance of AI. Plus, we’ve primed it for your preferred language model – simply export your data and use it with your own AI. 

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FAQs

All about Portfolio Simulation.

  • The tool lets you model different versions of your portfolio before you commit to any of them. This means that you can experiment ahead of time building “what-if” scenarios by adjusting timing, resourcing, budget, and priorities to see the impact across cost, capacity, risk, and strategic alignment. 

  • A standard PPM tool tells you what your portfolio looks like today. A simulation tool tells you what it could look like with different choices. The difference is the sandbox; you work on a safe copy of your data, make changes freely, and only promote a scenario to your live plan once you’ve seen the consequences. 

  • A good portfolio simulation tool surfaces the answers to your questions – but the questions depend on your business, strategy, and circumstance. Common ones include: What happens if we delay this programme by a quarter? Can we accelerate delivery by adding people? If budget is cut by 15%, which projects survive? What's the impact of pulling one initiative on the rest of the portfolio? Which combination of projects gives us the most value within our resource and budget constraints? 

  • It does! Alongside cost and capacity, you can score scenarios against strategic objectives or OKRs, so you choose the portfolio that advances your organization – and not just the cheapest or fastest.  

  • Reliable data makes simulation more accurate, but you don't need perfection to begin. Many teams start with high-level portfolio data, projects, rough costs, resource demand, priorities, and refine as they go. The value of scenario modelling is in the comparison: even approximate inputs reveal which option is stronger relative to the others.