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Who maintains custom software after a SaaS replacement?

Short answer

After you replace SaaS with a custom application, someone has to own the whole service: from an employee's report to restored work, also when a failure crosses several companies. The contract names that person, the way of working during an outage and what the next maintainer receives besides the code.

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 · 4 min read

Example: the morning request inbox
Agent · ready

Statistics

Maintaining custom 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

An application prepares warehouse orders from data in the order system. After a change on the other side, new orders stop appearing, and the warehouse employee sees an empty queue. A developer wrote the code, an administrator looks after the server and the order system's vendor supports its product, so without agreements everyone points at someone else.

Ways of organising maintenance
  • The company's IT team

    its own support with documentation and a procedure

    the team's cost

  • The application's contractor

    a maintenance contract with a response time

    priced as maintenance

  • Mixed

    the contractor leads the investigation, IT manages access

    priced as maintenance

One failure crosses several companies

Suppose an application prepares warehouse orders from data in the order system. After a change on that system's side, new orders stop appearing. The warehouse employee sees an empty queue, but cannot tell the cause. They need to know where to report the problem and how to check which orders are waiting.

The agreed support should name the person or team that leads the investigation from the report to restored work. Some steps may need the order system's administrator, and the user should not have to work out alone which vendor gets the next part of the problem. The process owner on the company's side sets the priority and agrees how to work during the outage.

Also tell apart fixing an application bug, adapting to a new version of an outside system and developing features. These kinds of work may follow different rules. The buyer should understand what the agreed support covers, what needs a separate order and who assesses a report first.

Maintenance can be organised in several ways

Your own team is a natural candidate if it has the skills and time for the application. The contractor knows how it is built, but settle its availability after the project ends too. A separate partner can take over maintenance if it gets the materials and access it needs. In every option, the company needs a person who decides on business changes and receives information about problems.

Support for a ready SaaS also has a defined scope. Before you give it up, establish which duties the vendor carries out today and which already belong to the company's IT. The comparison should include support hours, integration handling and responsibility for data. The number of features in the application does not describe the work needed to keep it running.

Microsoft, in its guidance on recovering Power Platform services, covers critical processes, dependencies, responsible people and testing the recovery plan. It is a useful reference point when you discuss the continuity of your own application. The specific scope should follow from the program's role in the company.

Not every application needs the same availability. A tool used once a month and a system that handles daily warehouse releases have different consequences when they stop. Discuss them before you choose a support model. That lets you order support that matches the team's work, without picking the most elaborate option by default.

The next maintainer needs more than the code

The company should know where the data and backups are, and who controls the accounts needed for the application to run. Agree access to the repository, the documentation and the environment so that another person can take over maintenance. One contractor's personal account can make it hard to hand over even a well-documented program.

Also settle the exit: exporting the data with its links and handing over information about open problems. A change of maintainer need not mean a change of application. The new team needs time to get to know it and a clear moment when it takes over the reports.

Talk to Syntalith about what will happen in the company if the planned application stops working. That conversation helps define the scope of maintenance and the responsibilities worth including in the purchase. Pricing information is 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: maintaining an application

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

  • Who maintains a custom application after leaving SaaS?

    The person or team named in the contract, who leads the investigation from the report to restored work, also when the problem lies in another system.

  • What must the next maintainer of the application receive?

    The code, documentation of the connections, a description of the data, a recovery procedure after a failure and a list of contacts at the other vendors.

  • 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.