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Receivables · Rollout scenario · Updated

Payment collection automation: a reminder after payments are checked

The system joins an overdue invoice with the payments and the correspondence, then drafts a reminder. An employee approves and sends it.

Automation, paid once
from €3,000 net
  • Test on your process: €0
  • You pay 50% after acceptance

How much does payment collection automation cost, and when does it pay back?

Short answer

Payment collection automation costs from €3,000 net. In our scenario it pays back in 2.5 months. Today, preparing 300 receivable cases by hand costs €1,396 a month. With the system, the same work costs €213. Disputes, settlements and further steps stay with the company. The system makes sure no reminder goes to a client who has paid or raised a dispute. The test on your process is free.

Statistics

Late payment statistics 2025

Figures checked: 22 October 2026

Cost today · Scenario

What preparing reminders costs you today

€1,396

a month for preparing 300 receivable cases by hand

Payback: 2.5 mo.

In your company

  • Small company

    100 cases · €465 a month

    7.6 mo. payback

  • Mid-sized company

    300 cases · €1,396 a month

    2.5 mo. payback

  • Accounts receivable team

    800 cases · €3,723 a month

    1 mo. payback

The team gets back about 34 hours of work a month, or 4 working days, and the company €14,189 a year. We count after the time a person spends checking and after the model cost.

Source: Eurostat, hourly labour costs 2025 (2026) ↗

How we calculate it

300 × 8 min = 40 h × €34.90 = €1,396 a month. With the system, a person checks the output in 15% of the old time (€209) and the model costs €4. That leaves €213. The saving is €1,183 a month, so €3,000 pays back in 2.5 months.

Assumptions: 8 minutes per case before a reminder 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: 0.015652 USD per reminder draft with a separate tone check, measured in our receivables system, at the ECB rate of 1.1205 USD per euro on 22 October 2026. The payback counts saved time only. A reminder that goes out on time also recovers invoices that would otherwise go to an external agency or be written off, and we count that on your receivables during the review.

Book a free process review (30 min)

We will calculate it on your receivables.

How it works

What changes before contacting a debtor

Today

  1. A report shows an overdue invoice

    Team

  2. An employee checks the payments in the bank

    Team

  3. Looks for the correspondence with the client

    Team

  4. The client has already raised a dispute

    Team

  5. The reminder goes out anyway

    Team

With the system

  1. Collects overdue invoices and payments

    System

  2. Checks the correspondence and disputes

    AI

  3. Drafts the reminder with a tone check

    AI

  4. An employee approves and sends

    Person

  5. The contact history stays with the case

    System

What stays with people: Disputes, settlements and further steps stay with the company. The system makes sure no reminder goes to a client who has paid or raised a dispute.

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 →

Who already works this way

Our systems already work for clients

What this scope builds on

The payment reminder system we have already built

It takes the age of the debt, the contact history and disputes into account, and a second check reviews the tone of each message. The system has no sending tool, so nothing goes out without a person. A draft with its check cost about €0.014 of model work. A demonstrator on test data.

See AI automations →

Client review

“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.”

Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.CareKuba KoziejCEO and co-founder, MoreGrowthView the original training review on LinkedIn ↗

How to start

How to start. The first two steps are free.

  1. 1 · 30 min

    Free process review

    €0

    An engineer works out the cost of the process with you. Written plan within 2 working days.

  2. 2 · 5 days

    Test on your process

    €0

    We run 20 to 100 cases your team has already handled.

  3. 3 · 2–6 weeks

    Build

    from €3,000

    Fixed price in the contract. 50% on signing, 50% after acceptance on your test set.

Book a free process review (30 min)

or call+48 888 78 48 78WhatsAppMon–Fri 9:00–17:00 CET

You will see the slots in your time zone.

Included in the build

  • The invoice joined with the payments and correspondence
  • A reminder draft by stage and history
  • A separate check of the message's tone
  • A queue of disputed cases for decision

What happens to your data

  • You choose the test cases. We anonymise them on request.
  • They stay in the EU and we delete them after the test.
  • We sign the NDA and the data processing agreement before we receive anything.

After acceptance you keep the code, the test set and the documentation. You pay for licences and model usage directly to the provider.

Questions

  • How much does payment collection automation cost?

    From €3,000 net, paid once. After the 5-day test the build takes 2 to 6 weeks. You get a fixed price before the contract: 50% on signing and 50% after acceptance on your own receivables.

  • Does the system send reminders on its own?

    No. The system prepares a draft, and an employee approves it and sends it from their own inbox. Disputes and further steps stay with the company.

  • Are the automatic reminders in our accounting program not enough?

    They are, if payments and disputes are always up to date in the program. The system makes sense when someone checks the bank, the emails and the salesperson's agreements before a reminder.

  • When does it not pay off?

    Below 70 cases a month the payback takes more than a year. Then it is better to start with ChatGPT or Claude for the accounts receivable team, from €1,150 net.

  • What do we need to prepare?

    A receivables report, a statement of payments from recent months, 20 to 100 cases with their correspondence and the reminder templates you use.

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.