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AI training for PMOs: from project plans to priority discussions
Short answer
AI training for a PMO teaches the team to set project plans side by side, catch shared dependencies and write a note that tells project owners what to agree. The key exercise is turning a draft that says „there is a resource risk” into numbers and a question. At Syntalith team training costs from €1,150 net a day. With 6 people each saving 1.5 hours a week, it pays back in 0.9 months after licence costs.
- net per day of closed training for the team
- from €1,150
- people in one training group
- up to 15
- after this time, we measure the effect on the same tasks
- 30 days
We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓
Author: Syntalith · 3 min read
Statistics
Project management and AI: statistics 2026
0.9 mo.
payback of a €1,150 training at 6 people saving 1.5 hours a week each: €1,360 of time regained, €107 of licences a month. Scenario.
40%
According to a study published in Science (2023), ChatGPT cut the time 453 professionals spent on writing tasks by 40%.
Source: Noy and Zhang, Science (2023) ↗
25.1%
According to a Harvard Business School study (2023) of 758 consultants, tasks within the model's capabilities were done 25.1% faster with AI.
59%
According to Microsoft's Work Trend Index (2024), 59% of leaders worry about quantifying the productivity gains of AI.
Source: Microsoft and LinkedIn, Work Trend Index 2024 (2024) ↗
90%
According to the European Commission (2026), 90% of companies using AI say people take the decisions, and 2% of decisions are fully automated.
Source: European Commission, Flash Eurobarometer 578 (2026) ↗
Figures checked: 22 October 2026
Two projects, one engineer
In a given week, project A needs 20 hours of an engineer's time and project B another 16 hours of the same person. The agreed availability for project work is 24 hours. The draft prepared with AI describes each project separately and ends with the sentence „there is a resource risk”. The trainer asks what the project owners should agree after reading the note.
The corrected note from the exercise:
Projects A and B need a total of 36 hours of the same engineer's time in the same week. The agreed availability is 24 hours, so the current plan exceeds it by 12 hours. To agree with the project owners and the person who assigns the work: which scope to move, or who to hand it to.
The calculations stay in the checked spreadsheet the note links to. In the next trial the availability is 40 hours, the demand fits within it, and the author changes the conclusion instead of repeating the previous one.
- Project A
- 20 h
- Project B
- 16 h
- Demand
- 20 + 16 = 36 h
- Agreed availability
- 24 h
Overrun
36 − 24 = 12 h
Figures from invented exercise material. In PMO work the figures come from the checked planning spreadsheet.
- The shared dependency comes first
- Figures from the same week and the same person
- A question for specific people
- A summary after the meeting with the agreed change
What it costs and when it pays back
- Time saved
- 6 people × 1.5 h a week × 4.33 = 39.0 h
- Value of that time
- €1,360
- Licences
- $120 (€107)
- Left after licences
- €1,253 a month
Payback of a €1,150 training
0.9 months
The hours saved are the scenario's assumption, which we check by timing the tasks before the training and after 30 days. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Claude Team licences at $20 per person a month, at the ECB rate of 1.1205 USD per euro on 22 October 2026.
We measure the hours in the scenario before the training and after 30 days, on the same team tasks. If after a month checking AI texts takes as long as writing from scratch, we change the exercises or the scope of the tool.
According to a study in Science (2023), ChatGPT cut the time 453 professionals spent on writing tasks by 40%. In a PMO we also measure how many issues from the portfolio meeting end with an agreed change.
Your planning tool may already count the workload
Work management tools count people's workload across projects. Asana describes capacity planning in the team workload view. If such data are available, the PMO does not need to compile them from descriptions. The training covers what the tool will not do: choosing the issues for a joint decision, asking the right people and summarising after the meeting. Status reporting for a single project is covered in the article on training for project managers.
No workload data
a workload view in the planning tool
configuration
The data are there, notes lead to no decision
PMO training on notes with AI
from €1,150 a day
A portfolio from many tools every week
an app that maps dependencies
from €3,000
Where to start
The PMO works on the comparison and the note, project managers add explanations to the plans, and the person who assigns work judges availability. For the call, bring the note from your last portfolio meeting. We run the workshop as part of team training. For the free analysis, a description of one task the team does every week and of the tools it uses is enough. You get the written training programme within 2 working days.
Worked example · Scenario
How we count the payback: a PMO
We run the same count for your project office in the free analysis.
€1,675
a month for preparing 12 management reports
Payback: 2.1 mo.
4 hours to prepare a management report and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: checking the commentary in our reporting system (about €0.0002) plus compiling the data (Claude Sonnet 5.5, about 30,000 + 2,000 tokens), at the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →
