AI in project management — how we use it in practice

At Erecius Management & IT we use AI in almost everything we do — from developing Project Tracker to consulting with our clients. Not because it is fashionable, but because it works. These are the places where we see the biggest effect.

1. The status report (almost) writes itself

A good status report needs someone to gather numbers, notes and risks and turn them into a clear story. AI is good at the first draft: it can summarise the project log, highlight deviations between planned and actual value and cost — say, actual cost of 420,000 kr against a planned cost (PC) of 380,000 kr — and suggest what the steering committee should decide on. The project manager edits and owns the result — but spends minutes instead of hours.

2. Risks that would otherwise slip under the radar

By reviewing meeting notes, tasks and change requests, AI can point out patterns a person easily misses: a dependency that keeps slipping, or a supplier mentioned in more and more worried notes. The suggestions need judging, but they make a better starting point for the risk register.

3. Numbers that add up

Earned Value stands or falls with data quality. AI can quickly find sprints without actuals, hours that do not match costs, or budgets where CB does not equal BB + CC — before it turns into a wrong forecast.

4. Software developed faster

We develop Project Tracker and Time Tracker with AI. New features can go from idea to production in days — task boards, sprint boards and full separation between organisations all arrived that way. For clients, it means requests quickly become reality.

Our rules for AI

• People decide. AI prepares and proposes; the project manager and steering committee judge.
• Numbers must be traceable. A number in a report must lead back to its source — whoever wrote the text around it.
• Confidentiality first. We agree with each client which data may be used, and how.

Want to get started with AI in your project organisation? Talk to us — we start with your actual ways of working, not with the tool.