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Custom service request software for partner networks

Short answer

Your own request workflow for a network of service partners makes sense when partners only need to accept a job, see the photos and enter the result, and the current system needs paid accounts and email workarounds. Sometimes a change of settings or plan is enough.

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 · 6 min read

Example: the morning request inbox
Agent · ready

Statistics

Service and partners: statistics 2026

1.2 mo.

payback of €3,000 at 800 requests a month: €3,723 of work today, €1,123 with checking and the model. Scenario.

Figures checked: 22 October 2026

Configuration, an extension or your own app
  • Access settings are missing

    configuration or a different plan

    the licence

  • One step for the partner is missing

    an extension of the current system

    from €3,000

  • Workarounds on every request

    your own workflow for partners

    from €3,000

One request, different needs

Say a client reports a fault to an installer. The installer records the problem and adds a photo, but another company in the network is to do the repair. The coordinator passes the matter to it. From that moment each party needs a slightly different view of the same work.

The installer wants to know whether someone has picked up their request. They should be able to go back to their own description and photo and check whom the matter was passed to and what stage it is at. They can then answer the client without phoning head office. They need no access to the service technician's later notes or the coordinator's internal arrangements.

The company doing the repair needs the client's contact details, the fault description and the photo to prepare the visit. It records how its work went and can come back to it later. There is no reason for it to gain access to the installer's other requests along the way. Head office, in turn, has to see everything: what came in, whom the matter was passed to and what happened during the repair. Its internal notes stay visible only to authorised staff.

This is one possible split of access. In your network the installer may need different information. Settle it on a specific request, because a general instruction to “pass the matter to a partner” does not say what should stay visible to the earlier participant. When the system does not make this distinction, the coordinator has to pick files by hand and copy parts of the history.

Can your current service request system already do it?

Before you order an app, ask the administrator to show such a hand-over in the tool you use. Look at the matter from both partners' accounts. Will the service technician open the photo? Will the installer still see the status without getting an email with internal notes on the repair? Will head office be able to rebuild the course of the matter without searching mailboxes? The check should also cover the moment before the hand-over, when the future contractor has no access to the request yet.

Changing the person or company assigned to the matter does not answer these questions on its own. Permissions can also follow from the settings of the organisation the user belongs to. For example, Zendesk Support assesses ticket visibility separately at the organisation level and in the end-user profile. When these settings conflict, the one that gives wider access applies. That is how this specific permission setting works in Zendesk; it is no common rule for all systems (Zendesk documentation).

If the demo reveals a problem, establish with the vendor whether it comes from configuration, plan limits or a missing feature. Ask about accounts for outside partners and roles with limited access. A partner who only accepts selected jobs may need far fewer features than a head-office employee. The options available and their terms have to be checked for the specific product.

Configuration, an extension or your own app

When the ready system supports the split of information you need, start with configuration. The cost of the change then also covers tidying existing accounts and showing partners how to work. Before renewing the contract, compare the available plans and other SaaS products. A high bill for rarely used accounts is a reason for such a comparison, and on its own it does not settle whether building pays.

An extension makes sense when the current system runs requests well and one piece of work is missing. It could be a simple view for the partner or a record of why a matter was handed over. The requests and their history can then stay in the current tool. You do need to check whether the supported way of connecting lets you share the right data with the partner and record their actions. If the coordinator still has to copy the repair result into the main system, part of the problem remains.

Your own workflow is worth considering when partners constantly pass matters to each other, and the access and history needed cannot be handled by configuration or an extension. The scope can be limited to working with partners and a connection to the current CRM. Leave a full system replacement for the case where keeping the current tool really prevents the change you need.

AI is not required for such a workflow. It can help shorten a long fault description, if the team needs that. Assigning the matter and access to data should still follow the agreed rules.

What will cost time after launch

When comparing offers, count the coordinator's work on one hand-over. If they have to send photos separately, set up an account and later retype the reply, write these steps down with how often they recur. Next to the subscription, you then see the real work the change is meant to simplify. Assess in the same way the time needed to invite a new partner, remove their access and help them when they cannot find a job.

With your own app, some of the SaaS vendor's duties pass to the company and its supplier. Someone has to maintain the connections to the CRM, respond to errors and update the app. Settle who helps the coordinator if a request does not reach a partner, and who trains the people joining the network. These duties should have an owner and a place in the maintenance offer.

Changing the system also needs decisions about open matters. A request description without photos or repair history may not be enough for further work. Before migrating, check what can be moved and how you will keep the assignment to partners. For closed matters, settle how the archive is used and how data is exported after the contract ends.

When ordering an app, also agree that it can be handed to another supplier. You will need rules for access to the code and the hosting accounts, documentation and a record of changes and maintenance work. That lets you judge how much work taking over the system will need before dependence on a supplier becomes a problem.

How to start a conversation with Syntalith

When a partner also needs the history of a specific device, the scope of preparing service information with AI helps. Partner access and the hand-over of jobs need separate arrangements in a service network project.

Syntalith builds custom apps. In a service network, a useful starting point is one hand-over where the coordinator has to do the system's job today. From that you can set the scope of the partner view and the connection to your current tool, and then compare such a project with what a ready product can do. The aim is to remove specific steps, such as retyping the repair result, while keeping the full history at head office.

For the first call, the system's name, the plan you use and an anonymised request that shows the problem are enough. Tell us what the coordinator does outside the system and what the partner cannot check for themselves. You do not need to write out all the permissions beforehand. A custom app at Syntalith starts from €3,000 net (pricing). If you also need a place for wider customer service, read the comparison of a custom customer portal and a CRM add-on.

What a partner request workflow costs and when it pays back

Scenario: 800 requests a month
Today
800 requests × 8 min = 106.7 h × €34.90 = €3,723
With the system, a person checks the output in 30% of the time
€1,117
Model, 1 call per case, Claude Sonnet 5.5
€6
Cost of one case
€4.65 today, €1.40 with the system
Saving
€2,600 a month

Payback of €3,000

1.2 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, converted at the ECB rate of 1.1205 USD per euro.

What we measure in the trial
  • Time from receiving a case to the result, before and after the change
  • Cases the app passed to a person
  • Corrections by the person checking
  • Model and maintenance cost at the target volume

Where to start

In the free process review we choose one process and count the team's volume and working time, and within 2 working days you get a written summary with a price. We build as part of AI apps, and we price maintenance separately.

Worked example · Scenario

How we count the payback: requests in a partner network

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

€3,490

a month for writing the reports for 400 jobs

Payback: 1 mo.

15 minutes to write a work report 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: reading a photo at €0.0042 (0.004734 USD), measured in our field documentation system, plus the description (Claude Sonnet 5.5, about 2,000 + 400 tokens), 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 run service requests with partners?

    In a workflow where the partner accepts the job, sees the photos and enters the repair result, and the coordinator and installer see the status without emails. Access is limited to the partner's own requests.

  • Do you have to pay for an account for every partner?

    It depends on the system and the plan. Check access at the organisation and end-user level before you build a separate workflow.

  • How much does it cost?

    At Syntalith apps, automations and AI agents start from €3,000 net. At 800 requests a month of 8 minutes each, the payback is 1.2 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.