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Shared services: agree on the work each company can expect

Short answer

Work planning software for a shared service centre shows in one plan the demand from several companies, the agreed order and the requests waiting for a decision. The manager does not settle the order by phone and retype it into a spreadsheet. Capacity planning may already be available in your current tool.

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

Service centres and AI: statistics 2026

2.5 mo.

payback of €3,000 at 200 requests from group companies a month: €1,745 of work today, €526 with checking and the model. Scenario.

Figures checked: 22 October 2026

Two companies ask for work in the same week, and the team has capacity for one. Each company sees only its own date, so the manager settles the order by phone and moves it into a spreadsheet no one else can see.

A shared plan for the service centre
  • Each company's demand with its date
  • The team's available capacity in the week
  • Requests waiting for a decision on the order
  • The person who settles a clash of dates

Two requests, one available team

Say two companies want to prepare product materials in the same week. Both entered an expected date in their own tool. The service centre already has other confirmed work, so it cannot promise both requests in full. The manager needs to talk about a realistic scope, and the people making the requests need to know whether their date has been accepted.

In the proposed app, the manager sets the new demand against the agreed work. They can offer the first company a smaller scope on an earlier date, and the second a later delivery. The people who made the requests see the proposals for their own matters. The confirmed arrangement goes into the team's plan together with the scope it covers.

This lets you talk about the consequences of a new urgent request. The person deciding sees which previously agreed work has to move. The app does not choose priorities for the group. The company names who may change the centre's commitments to the companies and how such a change is agreed.

Shared service centre planning may already be available

Atlassian describes capacity planning in Jira Plans, including a view of the team's workload and changes to the available work in an iteration. Before choosing an extra tool, check whether this feature is available and whether it fits the way you plan.

If your current system shows the shared team, and the requesters understand the difference between an expected and an agreed date, making better use of its plan is enough. A separate register is more justified when demand comes from several companies' systems and the manager regularly retypes the arrangements. An integration can then bring the requests in and return the confirmed date to the source.

Your own workflow makes sense when you need a shared way of negotiating scope that the available modules do not handle well. The centre's team should see the whole plan, and each company its own arrangements. Internal comments about other companies need not appear in its view.

The scope worth seeing before you buy

When comparing offers, use one week with competing requests. Can the manager put forward a workable proposal, and can the requester tell what has been confirmed? That is a better basis for scope than the number of forms and notifications. You do not need to move all task management at once.

At launch, keep the work already accepted and the people responsible for the arrangements. The export should cover the scope, the date and later changes. Agree with the supplier who looks after the connections and what happens when a date change does not get back to the company. Access to the code and documentation and ownership of the data matter if the app's support changes hands later.

Discuss the service centre's work plan with Syntalith. It is enough to describe how two competing requests were settled last time. We will compare your current tool with the connection or the app you need. Syntalith's apps start from €3,000 net, and we set the scope after a free process review (pricing).

What service centre planning software costs and when it pays back

Scenario: 200 requests from group companies a month
Today
200 requests from group companies × 15 min = 50 h × €34.90 = €1,745
With the system, a person checks the output in 30% of the time
€524
Model, 1 call per case, Claude Sonnet 5.5
€2
Cost of one case
€8.73 today, €2.63 with the system
Saving
€1,219 a month

Payback of €3,000

2.5 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: a shared service centre

We run the same count for your centre in the free process 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 plan a service centre's work for several companies?

    In a shared plan with each company's demand, the team's availability and an order agreed by the person who decides. The companies see their requests and their place in the plan.

  • Is a capacity planning tool enough?

    Often, yes, if it handles team capacity and requests from several sources. An app makes sense when the companies submit work through different channels.

  • How much does it cost?

    At Syntalith apps, automations and AI agents start from €3,000 net. At 200 requests from group companies a month of 15 minutes each, the payback is 2.5 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.