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AI in HR: payroll data and the cost of a rollout

Short answer

AI in HR prepares a list of gaps and mismatches in the data before payroll is run. Calculating pay and approving the data stay in the HR and payroll software and with people. At Syntalith the system costs from €3,000 net. At 1,000 documents a month, handling them by hand costs €2,908, and with the system €442, so the payback takes 1.2 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
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

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

AI in HR and payroll: statistics 2026

1.2 mo.

payback of a €3,000 system at 1,000 employee documents a month: €2,908 by hand, €442 with the system. Scenario.

Figures checked: 22 October 2026

First check your current software

If a manager sends a spreadsheet and HR retypes the same information, start with the features of your HR and payroll software. Manager and employee panels often have a request workflow and working time summaries. Ask the person who looks after the software to check the modules and permissions in your installation. Filling in an existing request is often simpler than reading the same information from an email.

Extra work makes sense where material arrives in different forms and agreeing a correction needs an exchange of emails. Using spreadsheets alone does not mean you need a model.

What to choose
  • A fixed spreadsheet with employee IDs

    comparison rules, no AI

    from €3,000

  • Data in different forms, corrections in emails

    reading and a list of gaps with AI

    from €3,000

  • The problem is writing questions and explaining corrections

    team training

    from €1,150

A correction must not vanish into the total of hours

A manager sends the summary for the month, and the next day corrects one shift. The new file has the same name. The checklist must show the employee, the period, the changed field and the version waiting for approval. Silently swapping the file makes it hard to explain where a number came from.

When an email says only "please correct Tuesday", the date and the scope are still open. AI can draft that question. It should not add hours or pick a type of absence on its own. The judgement on the substance belongs to the person responsible for HR.

What AI in HR costs and when it pays back

Scenario: 1,000 employee documents a month
Today
1,000 documents × 5 min = 83.3 h (€2,908)
With the system, a person checks the output in 15% of the time
€436
Model, 1 call per case, Claude Sonnet 5.5
€6.43
Cost of one case
€2.91 today, €0.44 with the system
Saving
€2,466 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: 2,600 input tokens and 200 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

What to agree before the quote

ElementDecision for the first scope
InputOne spreadsheet, a form or several channels
MatchingHow to recognise the employee and the period without guessing
CorrectionWhich version applies and who approves it
OutputA list for review or a record in the software
AccessWho sees the details and who sees only how complete the data is

Who sees which data

HR data is employees' personal data, often sensitive. Settle the scope of access before the first test, and use synthetic data for the test.

RoleWhat they see in the system
Team managerHow complete their team's data is and the questions to clear up
HRThe details of the summaries, the corrections and the version history
HR deputyThe same as HR, when the person in charge is away
EmployeeTheir own requests and their status, if the workflow provides for it

After launch, count the time spent clearing up gaps and the number of cases that come back for correction. Add to the budget changes to templates and support after an update of the HR software.

Acceptance on examples of changes

Test data for acceptance
  • A complete summary
  • A missing employee ID
  • A correction to an item already approved
  • A file sent again under the same name
  • The deputy's view when the person in charge is away

Assess the permissions separately. A manager needs to see how complete the data is, without the employee's whole file. The person who accepts the system should be able to state the current state of every item without asking the author of the automation what it means. According to Eurostat (2025), 48.8% of EU enterprises that considered AI and did not use it named concerns about data protection and privacy. That is why we settle the processing rules before real data is used. The next stage, with the correction accepted on the receiving side, is described on the document workflow in HR and payroll page.

Worked example · Scenario

How we count the payback: employee documents

We run the same count for your HR team in the free analysis.

€2,908

a month for handling 1,000 employee documents by hand

Payback: 1.2 mo.

5 minutes to receive and check an employee document 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 document in our case file system (about €0.0002) plus a description of what is missing (Claude Sonnet 5.5, about 2,000 + 300 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 ↗

Start with the process that takes the most time each week.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 21, 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 →

AI implementation

Start with the process that takes the most time each week.

The engineer chooses one process with you and calculates how much it costs today. Then we build a free prototype on 20-100 cases that your team has already handled. We write down the goal and the fixed price in the contract.

See AI implementation →
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

Questions

  • What can AI do in HR before payroll?

    Prepare a list of gaps and mismatches: a missing employee ID, a correction to an item already approved, a file sent again. It can also draft a question to the manager. It should not add hours or pick a type of absence on its own.

  • How much does AI in HR cost?

    At Syntalith, a system for one process costs from €3,000 net. At 1,000 documents a month of 5 minutes each it pays back in 1.2 months, counting a person's checking and the model cost.

  • Does AI calculate pay?

    No. Calculating pay and approving the data stay in the HR and payroll software and with the person responsible for HR. AI prepares material to be checked.

  • Where should we start?

    With the features of your current software: requests and working time summaries in the manager's panel may remove retyping without AI. A model makes sense where data arrives in different forms and a correction needs an exchange of emails.

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
You buy accounts directly from OpenAI or Anthropic and receive an invoice from them. We do not add anything to the license.
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.