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When is custom sales commission software worth it?

Short answer

Your own commission system makes sense when the current tool counts standard commission, and agreed exceptions, for example a sales split between reps, are entered in a spreadsheet by someone every month. First check whether the exception can be recorded in the current tool with the plan's effective date.

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 · 5 min read

Example: the morning request inbox
Agent · ready

Statistics

Sales and settlements: statistics 2026

2.5 mo.

payback of €3,000 at 300 commission lines a month: €1,745 of work today, €527 with checking and the model. Scenario.

Figures checked: 22 October 2026

Configuration, an extension or your own app
  • The feature exists in the current system

    configuration or a plan change

    the licence

  • One step is missing

    an extension of the current system

    from €3,000

  • Workarounds on every case

    your own app for one process

    from €3,000

A shared client, with the split recorded outside the program

Say the company's standard plan gives commission to the person who manages the client. One client, though, is served jointly. The company agreed that in the current period commission on its sales is split between two named reps by an agreed share. The program in use still runs the standard rule, so someone in finance recalculates this case in a spreadsheet.

Before you order an app, establish why this particular split stayed outside the system. Maybe nobody has configured the right rule yet. Or information about the joint account may be missing from the data taken from the CRM. Only checking this with the administrator or the vendor will show whether a new feature is needed.

If the agreed exception were part of the calculation, the finance person would not have to correct the standard rule's result each time. The sale would record whom the split concerns and for what period it applies. A rep could open their line and see that the result reflects the joint account. The explanation would lead to the specific sale and agreement, so nobody would have to rebuild it from comments in a spreadsheet.

The app therefore needs more than a field for typing in a corrected total. It has to apply the agreed split to later sales covered by the exception, and let you check how it reached the result. The company still sets the commission rules and approves their changes. The software project turns them into working calculations.

If the calculation itself works, and the problem is explaining differences in a finished statement, the separate article on reconciling sales commissions will help. Here, the decision is about the tool that should calculate the commissions.

What happens when the sales commission plan changes

In the next period, the company may end the joint account and go back to the standard rule. New calculations should use the new arrangements. The person reviewing an earlier settlement still needs to see the split that applied then, and the sales data used to calculate it.

This matters when you design your own system: recording only the result is not enough if, in a few months, someone has to rebuild where it came from. The settlement has to keep the version of the rules applied and the data it worked on. The client's current assignment in the CRM may already differ from the month being settled.

If an older sale has to be corrected later, an employee should be able to show what changed and why. The earlier calculation and the correction have to stay linked. Otherwise the rep sees a new result with no explanation, and finance goes looking for answers in old copies of the spreadsheet. The company sets the rules for making such corrections; the app should let you apply them and read their history.

Check these features in SaaS first

Ready programs have mechanisms for handling plan changes. Salesforce Spiff lets you set start and end dates for assigning a plan to a user. That is a feature worth seeing when you compare solutions for successive settlement periods (effective dates of plan assignments in Spiff).

Spiff also describes freezing statements, which protects them from change during recalculation. That does not make the whole history unchangeable (recalculating and freezing statements in Spiff). In the conversation with the vendor, show a specific plan change and ask them to reproduce an earlier calculation.

Configuring your current program is a good choice if it lets you record the split, its period and the explanation needed. The work may then also include tidying the data from the CRM. Compare the available modules, or another ready product, before you treat the spreadsheet as proof that you need your own system.

An extension may be enough when the program counts standard commission well, and one kind of exception keeps recurring. It could store the agreed splits and pass them to the calculation. You need to check whether the current product will take such information and keep the link to the specific sale. An extra screen from which finance still retypes totals would leave much of the manual work in place.

Your own app becomes a sensible candidate when the company has several recurring rules whose handling in the available tools needs many workarounds. Its first scope can cover one plan and the exception for jointly served clients. The CRM can keep supplying sales data, and the other finance processes keep running in the current systems.

The calculations will need upkeep

With your own software, it matters who changes a rule when the company agrees a new plan. The person responsible for commissions has to explain the rule and confirm the result on known sales. The app's supplier is responsible for the agreed scope of changes to the program and upkeep of the data connections. How this cooperation works affects the tool's later cost as much as its build.

Moving settlements out of the spreadsheet also needs decisions. For the current plan you will need working rules and the open exceptions. Past periods can stay in an accessible archive, if it holds the information needed to explain the results. Before switching, reproduce a known period in the proposed solution and check the split on a specific sale too. Matching the overall total alone could hide a different allocation between reps.

Also agree on exporting the data and the history of rules, and on ownership of the code. If another company is to take over upkeep one day, it needs access to the app and information on how your arrangements were implemented. Include these points in the comparison with the terms of your current SaaS.

Syntalith builds custom apps. A possible project here calculates one plan with jointly served clients and shows the rep how the split affected their result. Start the conversation with the exception that goes back to the spreadsheet at every settlement. Tell us what the program already calculates and what an employee has to correct outside it. From that you can compare a configuration change, an extension and your own app. Syntalith's apps start from €3,000 net, and we set the scope after a free process review (pricing).

What a commission system costs and when it pays back

Scenario: 300 commission lines a month
Today
300 commission lines × 10 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
€3
Cost of one case
€5.82 today, €1.76 with the system
Saving
€1,218 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: commission settlements

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

€698

a month for entering 300 CRM updates by hand

Payback: 5.1 mo.

4 minutes per CRM update 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 + 500 tokens per update, at the ECB rate of 1.1205 USD per euro on 22 October 2026. The extra margin is a scenario: we assume that 1 in 400 updates that get lost today ends in an order, with a margin of €459. In the review we count it on your sales process.

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

  • When should you build your own commission system?

    When agreed exceptions, for example a sales split, go into a spreadsheet every month, and the current tool cannot record them with an effective date or recalculate after a plan change.

  • What happens to settlements after a commission plan changes?

    Closed periods stay calculated under the old plan, and the new one applies from the date of the change. The system should recalculate and freeze statements by effective date.

  • How much does it cost?

    At Syntalith apps, automations and AI agents start from €3,000 net. At 300 commission lines a month of 10 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.