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Private AI for PMO portfolio summaries
Short answer
A private AI application gathers updates from several teams into one portfolio summary, with a link to every source. It keeps waiting for the client apart from work the team still owes, and shows each role only the projects it may see. At Syntalith an application on a local model costs from €3,000 net plus GPU hardware. At 400 project updates a month of 10 minutes each, it pays back in 2.0 months.
How we workDetails ↓
- 01Call30 minutes with an engineer, free
- 02PrototypeA working system on your process and data, free
- 03ImplementationTarget and fixed price in the contract; 50% at signing
- 04Acceptance50% once the agreed target is met
- model on your server or in the cloud in the EU
- quoted after the review
- same work in application with EU cloud model
- from €3,000
- task, data and equipment analysis
- €0
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
2.0 mo.
payback of a €3,000 local application at 400 project updates a month: €2,327 of work today, €796 with checking and the GPU server. Scenario.
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.
48.8%
According to Eurostat (2025), 48.8% of EU enterprises that considered AI but did not use it named concerns about data protection and privacy.
52.5%
According to Eurostat (2025), 52.5% of EU enterprises that considered AI but did not use it named unclear legal consequences.
20.0%
According to Eurostat (2025), 20.0% of EU enterprises with at least 10 employees used AI.
Figures checked: 22 October 2026
Two projects wait for acceptance for different reasons
A portfolio manager has access to projects A and B. In the update for A, the team has finished the agreed work and is waiting for the client's answer on acceptance. In B, the client has sent comments and the team is preparing a reply. Neither project has confirmed acceptance, but each needs a different action.
The application shows both under the heading „Client acceptance not confirmed”, with a separate description and source for each project. The manager sees where the client has to answer and where the team does, and prepares questions for the review. A member of team A who asks about pending acceptances gets an answer about A only, with nothing from project B.
- 01Updatesteam reports with the date the information was cut off
- 02Groupinga shared heading, a separate reason for each project
- 03Sourcea link to the update beside every piece of information
- 04Rolesthe portfolio manager sees both projects, a team only its own
- 05Reviewquestions for the meeting in place of ready conclusions
What it costs and when it pays back
- Today
- 400 project updates × 10 min = 66.7 h (€2,327)
- With the application, a person checks the output in 25% of the time
- €582
- Hetzner GEX45 GPU server
- €214
- Saving
- €1,531 a month
Payback of €3,000
2.0 months
The volume, the time and the checking share are the scenario's assumptions, which we measure in the test. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. The price of the GEX45 with 24 GB of GPU memory is from Hetzner's website on 22 October 2026, without the one-off setup fee of €209.
The count covers the time spent searching, reading and putting material together. What remains is the time to check the result against its source, 25% of today's work in the scenario. We measure both times in a test on 20 to 100 cases the team has already handled.
What runs locally and what you have to agree
A company may require confidential client material to be processed on a named server. Ollama describes working with local and cloud models, and how to switch off the cloud features. Running the model locally does not grant permissions to projects, so the application limits the material when it prepares an answer and when it opens saved summaries and sources. The PMO names who receives the information, and IT names the approved environment.
- Where the application takes documents from and where it saves results
- What stays in logs, backups and the question history
- Who has access to questions, answers and summaries
- Who updates the model, the application and the document set
When a report in your current tool is enough
If projects have complete, comparable acceptance fields, a status filter in your current tool is enough. A field nobody updates needs work with the owner of the information, because a model cannot supply a client answer that nobody wrote down. AI help is worth comparing when the reason for waiting sits in descriptions written in different words. Ready-made PMO tools do this too: PPM Express describes portfolio statuses and summaries with AI help. When you compare, check whether the tool's environment is approved for this material. Writing a project status from sources is described in AI in project management, and the exercise is part of AI training for project managers.
Comparable acceptance fields in projects
a report with a filter in your current tool
no build
Descriptions in different words, cloud approved
the AI feature of a PMO tool
licence
Confidential client material stays in the company
a private application with access roles
from €3,000 plus hardware
Where to start
The first scope covers one portfolio question, an agreed set of projects and a summary view with sources. A person with access to the whole set compares it with the current report, and a project manager sees the material for their role. We deploy local models as part of private LLMs, and we build the view for working with sources as an AI application. For the free analysis, a description of one case and of the places where the material sits is enough. Confidential files stay in the company, and you get a written plan within 2 working days.
Worked example · Scenario
How we count the payback: an assistant on documents
We run the same count for your portfolio in the free analysis.
€3,723
a month for finding answers to 800 questions in documents
Payback: 1 mo.
Our assumptions are 8 minutes to find an answer in documents or ask a colleague, and checking in 15% of the old time. €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: Claude Sonnet 5.5, about 6,000 + 500 tokens per answer from documents, at the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →
