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AI in public offices: pilot scope and budget

Short answer

The first AI pilot in a public office can work on published instructions: the system finds the right description and drafts the information, which an employee checks. Administrative decisions stay with people. At Syntalith training costs from €1,150 net a day, and an app from €3,000 net. At 800 questions from residents a month it pays back in 0.8 months.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

AI in public administration: statistics 2026

0.8 mo.

payback of a €3,000 system at 800 questions from residents a month: €4,653 of work today, €704 with checking and the model. Scenario.

Figures checked: 22 October 2026

First check the tools you have

If an employee cannot find a case, the problem may lie in the metadata or the permissions. In Poland, the search guide for the EZD RP document system shows searching for cases, documents and letters by attributes, and access limits that depend on permissions. Before you build an extra search tool, go through the same task with the administrator and a subject-matter employee.

What to choose
  • An employee cannot find a case in the document system

    filling in metadata and views

    €0

  • Employees have a tool but need practice

    team training

    from €1,150

  • An answer needs several scattered instructions gathered

    an app on published instructions

    from €3,000

  • A decision on a resident's case

    stays with the employee

    no AI

Poland's Ministry of Digital Affairs announced in August 2025 a pilot of the PLLuM model in Częstochowa, among other things for writing letters and summarising documents. It is a publicly described direction of work, with no proof of a result and no ready solution for every office.

A task that can be checked

In the exercise, an employee prepares information on where residents can hand in a form. One published instruction gives the current service point, the other an archived address. The result should point to the right document and keep the condition on how the form is handed in. The employee judges the text before it is used.

What should remain after the AI pilot

ResultHow the office accepts it
Description of the taskIt is clear who uses the result and what they check
Set of materialsEvery source has a version and an owner
Example answersA correct result, an omission and a missing basis are visible
Assessment of the workThe review time and the corrections needed are recorded
Decision on the next scopeThe limits, the cost and the person maintaining the solution are known

What an AI pilot in a public office costs and when it pays back

Scenario: 800 questions from residents a month
Today
800 questions × 10 min = 133.3 h (€4,653)
With the system, a person checks the output in 15% of the time
€698
Model, 1 call per case, Claude Sonnet 5.5
€6.43
Cost of one case
€5.82 today, €0.88 with the system
Saving
€3,949 a month

Payback of €3,000

0.8 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 2,500 input tokens and 400 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

Add to the cost the preparation of the sources, the time of the employees who judge the result and the administration. A local setup adds a server and the upkeep of the environment, an outside service adds licences and terms of use. According to Eurostat (2025), 48.8% of EU enterprises that considered AI and did not use it named concerns about data protection and privacy. That is why we settle the processing rules before the first test.

A local model or a cloud service

The office chooses between a model running on its own server and a cloud service. A local model keeps the data in-house, but needs hardware, updates and a person who maintains it. A cloud service needs no hardware, but it needs a data processing agreement, an assessment of where the data is processed and terms of use. With published instructions the difference in risk is small, with case files it is large. The name of a national model alone settles neither the cost, the quality nor compliance, so we compare on the same set of questions.

Ending the trial and maintenance

Settle before the start
  • Export of the results and materials after the trial ends
  • Removing access and handling the data
  • Who updates the instructions after the law changes
  • Who judges the correctness of answers during the pilot
  • The procurement procedure, set by the office with its specialists

Without a person who updates the instructions, an answer that was correct on the day of acceptance rests on outdated material a few months later. The scope for public bodies is described on the AI in public administration page. For the call, prepare a public description of the task and the person who will judge the correctness of the answers.

Worked example · Scenario

How we count the payback: public administration

We run the same count for your office in the free analysis.

€4,653

a month for checking 800 applications

Payback: 0.8 mo.

10 minutes to check that an application is complete and write the letter about gaps 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: reading a document in our case file system (about €0.0002) plus a description of what is missing (Claude Sonnet 5.5, about 2,000 + 300 tokens), at the ECB rate of 1.1205 USD per euro on 22 October 2026.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

Start with the process that takes the most time each week.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 21, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

AI implementation

Start with the process that takes the most time each week.

The engineer chooses one process with you and calculates how much it costs today. Then we build a free prototype on 20-100 cases that your team has already handled. We write down the goal and the fixed price in the contract.

See AI implementation →
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

Questions

  • Where should a public office start with AI?

    With work on published instructions: finding the right description and drafting information for a resident, which an employee checks. The pilot covers no administrative decisions and no case files.

  • How much does an AI pilot in a public office cost?

    At Syntalith, staff training costs from €1,150 net a day, and an app on published instructions from €3,000 net. At 800 questions a month of 10 minutes each the system pays back in 0.8 months. The office decides the procurement procedure.

  • Will AI replace search in the document management system?

    It does not have to. If an employee cannot find a case, the problem often lies in the metadata or the permissions. Before you build an extra search tool, go through the same task with the system administrator.

  • What should remain after the pilot?

    A description of the task, a set of materials with versions and owners, example answers, the time spent on review and corrections, and a decision on the next scope with its cost and the person who maintains the solution.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
You buy accounts directly from OpenAI or Anthropic and receive an invoice from them. We do not add anything to the license.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.