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Custom franchise reporting software

Short answer

Your own franchise reporting portal shows each outlet its report, accepts a correction request with the corrected file and leaves the decision to head office. First check cheaper ways of sharing in your current reporting tool, and build the portal when a correction flow is missing. At Syntalith the application costs from €3,000 net. At 200 outlet questions and corrections a month of 12 minutes each, it pays back in 3.1 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

Franchising and reporting: statistics 2026

3.1 mo.

payback of a €3,000 application at 200 outlet questions and corrections a month: €1,396 of work today, €420 with checking and the model. Scenario.

Figures checked: 22 October 2026

A monthly report, a file that stopped a day early

A franchisee compares head office's report for the previous month with a summary from their own sales program and sees a difference. They open the file they sent to head office and notice that the date range ended before the last day of the month. They prepare a corrected file for the whole month.

In the portal they file a correction against their outlet's report: wrong period, corrected file and the reason. A head office employee sees which summary the request concerns, has the original source and the correction, and after checking publishes the corrected report. The franchisee comes back to the same case. Beside the data you can see the outlet's name, the month, the source file and whether the correction was applied. Head office sets the definitions of the measures, because the portal will not do that for it.

Scenario: access for 120 recipients
Accounts
120 × €9 = €1,080 a month
Another way of sharing, with maintenance
€790 a month
Difference
€290 a month

Migration and permission tests €4,000 ÷ €290

13.8 months

The rates are the scenario's assumptions. The count assumes the current fees end with no period of paying twice.

An outlet's access to data
  • The restriction set in the data model
  • A hidden page or a filter is not a permission
  • An export from an outlet's account covers only its own data
  • Correction files visible to the outlet and head office

What it costs and when it pays back

Scenario: 200 outlet questions and corrections a month
Today
200 outlet questions and corrections × 12 min = 40 h (€1,396)
With the system, a person checks the output in 30% of the time
€419
Model, 1 call per case, Claude Sonnet 5.5
€1
Cost of one case
€6.98 today, €2.10 with the system
Saving
€976 a month

Payback of €3,000

3.1 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: 2,000 input tokens and 300 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, 30% 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.

After launch, someone has to connect new outlets, remove access for people leaving the network and react to data upload errors. Head office is responsible for the definitions and for approving corrections, and the supplier's scope of support has to be agreed before you compare it with a subscription.

Keep the reports or rebuild them

If your current tool prepares the reports well, start with its ways of sharing. The Power BI documentation describes several of them, and the licences depend on the method chosen and the capacity bought. Hiding pages, columns or charts does not restrict access to the data, so an outlet's permissions are set in the data model, even when your own portal displays the report. When the reports are good but there is no way to file corrections, a portal can embed the report from your current tool and add a form for explanations. That flow needs no AI. The instructions in force at the outlets are covered in the article on a knowledge base for a franchise network.

Sharing, an extension or a portal
  • The problem is the cost of rarely used accounts

    another way of sharing

    licence

  • Good reports, no correction flow

    a portal with an embedded report and a form

    from €3,000

  • A simple outlet report with a history of changes

    your own outlet report

    from €3,000

Where to start

The first scope covers one outlet's report with a place for an explanation and head office's reply, while analyses of the whole network stay in your current tool. For the call, describe the last correction sent by email. 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: network reports

We run the same count for your network 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

  • How do you share reports with franchisees?

    Each outlet sees its own report, with permissions set in the data model, and can file a correction with the corrected file. Head office checks the request and publishes the corrected report.

  • When does your own reporting portal pay off?

    When the cost of accounts and handling corrections by hand is higher than building and maintaining the portal. In a scenario for 120 recipients, the difference in fees alone pays back a €4,000 migration after 13.8 months. We count the time regained on handling corrections separately in the payback.

  • How much does such an application cost?

    At Syntalith from €3,000 net. At 200 outlet questions and corrections a month of 12 minutes each, the payback is 3.1 months. We agree integrations and maintenance before the quote, and the model costs about €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.