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Custom group management reporting portals

Short answer

A reporting portal for a group's board links the subsidiaries' material to a specific meeting, shows the controller what is missing and gives the board a closed pack. A correction after the pack is sent goes to the same meeting as a supplement. If the only problem is delivering a report regularly, BI is enough. At Syntalith the application costs from €3,000 net. At 60 subsidiary documents a month of 45 minutes each, it pays back in 2.4 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
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€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

Management reporting: statistics 2026

2.4 mo.

payback of a €3,000 application at 60 subsidiary documents a month: €1,571 of work today, €314 with checking and the model. Scenario.

Figures checked: 22 October 2026

A board pack has a moment when it closes

A group prepares a monthly review of its business. Each subsidiary hands in a summary of results and a manager's comment, the financial controller checks completeness, and the secretariat sends the material to the participants. The next day one subsidiary corrects its report, and the person preparing the meeting has to work out who is reading the earlier figures and whether the supplement reached everyone.

In the proposed portal, the controller sees which materials went into the pack that was sent. The corrected document goes to the same meeting as a supplement, with a note on the material it replaces. For a subsidiary, the portal is a simple place to hand in material and check what is missing, and for the controller a cross-section of all subsidiaries: which reports are ready, who is responsible for a gap and whether the pack can be closed.

The cycle of preparing a meeting
  1. 01Subsidiarieshand in the summary and the comment
  2. 02Controllerchecks completeness and closes the pack
  3. 03Sendingparticipants receive the agreed pack
  4. 04Supplementa correction with a note on what it replaces
  5. 05Archiveexactly what the participants received
What to agree before the build
  • What a finished document means in the company for each summary
  • Who closes the pack and who approves a supplement
  • Where the calculations stay: in BI or in the portal
  • Who handles changes to the group's structure and its recipients

What it costs and when it pays back

Scenario: 60 subsidiary documents a month
Today
60 subsidiary documents × 45 min = 45 h (€1,571)
With the system, a person checks the output in 20% of the time
€314
Model, 1 call per case, Claude Sonnet 5.5
€0.46
Cost of one case
€26.18 today, €5.24 with the system
Saving
€1,257 a month

Payback of €3,000

2.4 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: 3,000 input tokens and 400 output tokens per call at Anthropic's rates, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The count covers the work around a case: searching, reading, writing and handing over. What remains is the time to check the result, 20% of today's work in the scenario. Before the quote, we measure both times on 20 to 100 cases the team has already handled, in a free test that takes 5 working days.

The scenario assumes 60 documents a month, for example from 10 subsidiaries with a few documents each per meeting. When the history moves, earlier packs help, in a form that lets you reconstruct what the participants received.

Your current report and how it is shared

If it is only about delivering a report regularly, start with your BI tool: Power BI offers email subscriptions to reports and dashboards. An extra flow makes sense when the pack also covers comments, presentations and documents from several systems, and someone has to confirm it is ready. A scope of your own is justified when the way meetings are prepared is fixed, and staff rebuild the same chain of responsibility by hand in every cycle. The calculations can stay in BI, and the documents in the repository.

BI, an extension or a portal
  • Regular delivery of a report

    a subscription in your current BI

    configuration

  • A pack from several sources, a simple flow

    an extension of your current tool

    from €3,000

  • A fixed meeting cycle, many subsidiaries and supplements

    your own portal for assembling the pack

    €3,000–€7,000

Where to start

We start the conversation with one cycle of preparing a meeting. Gathering the sources and spotting an incomplete period are described in reporting automation, and the portal adds the pack for a specific meeting and visibility of supplements. We build this kind of rollout as part of AI applications. For the free analysis, a description of one case from recent weeks and of the tools it passed through is enough. You do not need to send confidential documents, and you get a written plan within 2 working days.

Worked example · Scenario

How we count the payback: reports for the board

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

€1,815

a month for 12 h a week of report preparation

Payback: 1.9 mo.

The hours for each firm size 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. We measured the model cost in our report system: a commentary with a check of the figures costs about €0.0002, converted at the NBP rate of 21 October 2026 and 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 ↗

When an off-the-shelf tool does not fit, we build your own.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 →

Custom AI apps

When an off-the-shelf tool does not fit, we build your own.

We build an application with a language model for the work of your team: searching the company's knowledge, case panel or portal. We check the validity of your documents before launch, and the code stays with you.

See AI applications →
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

Questions

  • When does a group need its own reporting portal?

    When the board pack combines reports, comments and documents from several subsidiaries and systems, someone has to confirm it is ready, and corrections after sending have to be tracked. For delivering reports alone, BI is enough.

  • What happens to a corrected report after the pack is sent?

    It goes to the same meeting as a supplement, with a note on which material it replaces. The controller sees who received the earlier version.

  • How much does such an application cost?

    At Syntalith from €3,000 net. At 60 subsidiary documents a month of 45 minutes each, the payback is 2.4 months. We agree integrations and maintenance before the quote, and the model costs under €1 a 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.