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Assess software fit before you buy

Short answer

You check a system's fit before you buy on real work: you choose a case that shows the difference between the candidates, and you judge a result that lets you choose the next step. A demo and the supplier's claim do not answer whether the system will handle your case.

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

Choosing business software: statistics 2026

3.1 mo.

payback of €3,000 at 300 cases a month: €1,396 of work today, €422 with checking and the model. Scenario.

Figures checked: 22 October 2026

A case for assessing fit
  • It shows the difference between the candidates
  • It comes from the team's daily work
  • It has a result the team can judge
  • It shows the next step after the trial

Choose a case that shows the difference

Suppose a company is choosing a system for handling jobs. An ordinary job goes smoothly through every demo. In daily work, though, the client often changes the job location after a team has been assigned. The coordinator updates the information, but the field staff already have the earlier materials. That is exactly the situation the trial should include.

With a ready product, see how the administrator sets up such a flow and what the employee actually receives. With a custom solution, you can order a limited prototype that shows the proposed handling. Both paths should be measured against the same event, with the person who handles the change today taking part. A general feature list rarely shows how much work the coordinator will still do.

The trial also has limits. A view prepared on sample data does not yet confirm that the connection to the company system works. If that connection decides the choice, it should be part of the agreed assessment. If it stays outside, the result should say clearly what has not been checked yet.

The conditions of future work matter. A demo on an administrator account can look different from the work of someone with limited access. So include the roles the example needs and settle which plan or rollout option can support them. The supplier should name the add-ons and licences required before the comparison reaches the person who approves the purchase.

A result that lets you choose the next step

A useful summary describes what settings can achieve, what needs an extension and what limits remain. It should also say which parts of the trial can be reused. Then the buyer can decide separately on configuration, integration or a build, and does not have to treat every assessment started as a commitment to the whole project.

Ask about moving the solution from the trial environment to the company's environment. Microsoft describes exporting Power Apps canvas app packages as the basic way to import and export, and recommends solutions for life-cycle management. It is a good example of why receiving the application file does not describe all the future support of a rollout.

A ready product can win if configuration solves the hard situation and fits acceptable terms of use. An extension may be enough when one connection is missing. A custom application makes sense when the gap shown concerns important, repeated work and the company wants to maintain that scope for years. The trial result can also justify staying with the current tool.

Settle what happens to the materials after the trial

In the order for the assessment stage, set out access to the code, configuration and documentation prepared, and how the data used will be deleted or handed over. If the company asks another contractor to continue, that contractor should be able to understand the result and its limits. A failed trial is useful too, as long as it explains why an option does not fit.

The next offer should cover the work the trial did not do yet: migration, launch for users and maintenance. Tie the scope of help after the start to the critical situation from the example, such as a change the field team cannot see.

Talk to Syntalith about one unknown that holds up the purchase. We can agree a proposed scope for checking it and the form of result you need for the decision. Our pricing principles are on the pricing page.

What it costs

Scenario: 300 cases a month
Today
300 cases × 8 min = 40 h (€1,396)
With the system, a person checks the result in 30% of the time
€419
Model, 1 call per case, Claude Sonnet 5.5
€3
Cost of one case
€4.65 today, €1.40 with the system
Saving
€974 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: 3,000 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.

What we measure in the trial
  • The time from receiving a case to the result, before and after the change
  • Cases the application passed to a person
  • Corrections by the person checking
  • The cost of the model and maintenance at the target volume

Where to start

In the free review we choose one process and count the volume and the team's working time, and within 2 working days you receive a written summary with a price. We build the automation as part of AI automations, from €3,000 net.

Worked example · Scenario

How we count the payback: a fit assessment

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

€4,363

a month for handling 1,500 job emails

Payback: 0.8 mo.

5 minutes to read an email and reply 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: Claude Sonnet 5.5, about 3,000 + 600 tokens per message with a draft reply, 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 ↗

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 check whether a system fits the company before buying?

    On a real case that shows the difference between the candidates, with the result judged by the people who do that work. Also settle what happens to the materials after the trial.

  • What happens to the materials after the trial?

    Settle it in advance: who keeps them, what has to be deleted and whether the configuration from the trial can move into the rollout.

  • How much does it cost?

    At Syntalith, AI apps, automations and agents start from €3,000 net. At 300 cases a month and 8 minutes each, the payback is 3.1 months.

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.