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Local AI for drafting field reports offline

Short answer

A local AI model on an approved field device helps turn visit notes into a draft report without a network connection. The author sees the notes next to the draft, and head office receives the report only after syncing, so the app shows what has already been sent. At Syntalith an app on a local model costs from €3,000 net plus GPU hardware. With 300 field reports a month at 25 minutes each, it pays back in 1.0 month.

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
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

Example: the morning request inbox
Agent · ready

Statistics

Field work and local AI: statistics 2026

1.0 mo.

payback of a €3,000 local app at 300 field reports a month: €4,363 of work today, €1,305 with checking and a GPU server. Scenario.

Figures checked: 22 October 2026

The draft takes shape next to the visit notes

An infrastructure operator requires visit notes to be kept on approved field equipment and in the company's authorised systems. Before leaving, the employee downloads the report template and the assigned tasks. On site there is no connection to the company system. The assistant on the device arranges the entered remarks into the parts of the template, and the author sees the original notes next to the draft and checks that the text keeps what they wrote. If a part lacks information, the app leaves it to be completed.

Head office keeps working while the device is offline. After the material is downloaded, an office employee adds a request for clarification, and the person in the field and the local assistant cannot see it. After syncing, the employee sees the comment and completes the report, and the supervisor reads the draft only once it has been sent.

A report from the visit to head office
  1. 01Before leavingthe template and tasks on the device
  2. 02Visitnotes and photos without a network
  3. 03Draftthe local model arranges the notes in the template
  4. 04Gapsparts to complete, visible to the author
  5. 05Syncthe report at head office, office comments on the device

What local AI for offline field reports costs and when it pays back

Scenario: 300 field reports a month
Today
300 field reports × 25 min = 125 h × €34.90 = €4,363
With the app, an employee checks the output in 25% of the time
€1,091
Hardware in the company, counted in the scenario as renting a GEX45 server
€214
Saving
€3,058 a month

Payback of €3,000

1.0 month

The volume, the time and the checking share are the scenario's assumptions, which we measure in the trial. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Price of the GEX45 with 24 GB of GPU memory from Hetzner's website on 22 October 2026, without the one-off setup fee of €209. We price hardware in your own server room after the review.

The count covers the time spent searching, reading and compiling the material. What stays is the time to check the output against the source, 25% of today's work in the scenario. We measure both times in a trial on 20 to 100 cases the team has already handled.

What runs locally and what needs agreeing

The model runs on equipment intended for field work. Ollama describes a local mode that switches off cloud models and web search. That is a setting of the program that runs the model, and the app around it needs its own agreements. The administrator knows which copies stay on the device, what the history records and who can read it. The team also agrees who updates the model and the templates before the next trips.

What to agree with IT beyond the model
  • Where the app takes documents from and where it saves results
  • What stays in logs, backups and the history of questions
  • Who has access to questions, answers and summaries
  • Who updates the model, the app and the set of documents

Recording without a network may already work

A field tool is enough if employees mainly tick answers and enter short remarks. The ArcGIS Field Maps documentation describes syncing data collected offline. Local AI is worth comparing when authors have many free-text notes and arranging them into a report takes a separate part of the work. Compare a finished, checked text with a report from the current form. Receiving reports at the office is covered in the article on custom field audit software.

A form, local AI or both
  • Short answers and ticks

    an offline form with syncing

    a licence

  • Many free-text notes, data stays on the device

    a local model in the field app

    from €3,000 plus hardware

  • The problem appears only at the office after receipt

    integrating the report with tasks

    from €3,000

Where to start

Field employees and the person who receives the reports judge whether the text is useful and how many corrections remain. The administrator names the approved devices and the storage rules. We roll out local models as part of private LLMs, and we build the view for working with sources as an AI app. For the free process review, a description of one case and 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: field reports

We run the same count for your team in the free process review.

€4,188

a month for the work on 600 questions

EU cloud version payback: 0.8 mo.

Our assumptions are 12 minutes to find the documentation and fault history, 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 in the EU cloud version, at the ECB rate of 1.1205 USD per euro on 22 October 2026. We count the payback for an app with a model in the EU cloud (from €3,000 net). We price the model on your server after a call, and the cost of people's work stays the same.

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 ↗

A model on your server or in the cloud in the EU, proven on your tasks.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 25, 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 →

Private AI models

A model on your server or in the cloud in the EU, proven on your tasks.

We select the model and equipment for the task, run it and measure the quality using your examples before you buy anything. The data stays in the company or in the cloud in the EU. We price implementation, hardware or hosting and support separately after analysis.

View private AI models →
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

Questions

  • Does local AI work in the field without internet?

    Yes, when the model, the template and the app are on the device. The report reaches head office only after syncing, so the app shows what has been sent, and the employee sees office comments once connected.

  • An offline form or local AI?

    A form, when employees tick answers and write short remarks. Local AI, when they have many free-text notes and writing the report from them takes a separate part of the work.

  • How much does such an app on a local model cost?

    At Syntalith from €3,000 net plus GPU hardware, for example a Hetzner GEX45 server with 24 GB at €214 a month. With 300 field reports a month, the payback is 1.0 month.

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
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
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.