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When building a custom CRM would be a poor investment

Short answer

A spreadsheet a manager keeps next to the CRM rarely justifies building a new system. First check whether an agreed field and view in your current CRM solve the problem, then a narrower integration, and only last a custom app. At Syntalith an app costs from €3,000 net, and with 600 quote updates a month at 4 minutes each it pays back in 2.7 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
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

CRM and AI in companies: statistics 2026

2.7 mo.

payback of a €3,000 app at 600 quote updates a month: €1,396 of work today, €284 with checking and the model. Scenario.

Figures checked: 22 October 2026

A new CRM will not set working rules for the team

Salespeople do not update the CRM, the manager keeps a spreadsheet of their own, and the company considers writing a new system. A custom application can inherit the same problem. Suppose the company sells implementation projects. The manager wants to see which quotes need a specialist's help. Salespeople mark the sales stage, and the need for a specialist ends up in an email or a conversation.

First we check whether an agreed field, a view and a way of flagging the need solve the problem in the current product. It may turn out that the specialist works in another system and the salesperson cannot see the assignment or the consultation date. Then a sensible scope is connecting those two places. A few closed cases, including ones that went smoothly, help to tell a missing feature from an unclear agreement in the team.

From the spreadsheet to a decision
  1. 01Spreadsheetthe columns the manager keeps next to the CRM
  2. 02Comparisonwhich of them the CRM already has and which are missing
  3. 03Agreementa field, a view and an update rule for the team
  4. 04Gapwhat the product cannot handle after configuration
Hidden costs of a custom CRM
  • Handling data changes and the history of changes
  • Access for former employees and handing over their clients
  • Finding old correspondence
  • Migrating clients with their history and associations
  • Maintenance after every change to the sales process

What the alternative to a custom CRM costs and when it pays back

Scenario: 600 quote updates in the spreadsheet a month
Today
600 quote updates in the spreadsheet × 4 min = 40 h × €34.90 = €1,396
With the system, a person checks the output in 20% of the time
€279
Model, 1 call per case, Claude Sonnet 5.5
€4
Cost of one case
€2.33 today, €0.47 with the system
Saving
€1,112 a month

Payback of €3,000

2.7 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: 2,500 input tokens and 300 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The count covers the work around a case: searching, reading, writing and passing it on. What stays is the time to check the output, 20% of today's work in the scenario. Before we quote, we measure both times on 20 to 100 cases your team has already handled, in a €0 test that takes 5 working days.

The scenario counts the time spent copying quotes between the CRM and the spreadsheet, after the two places are integrated. According to the European Commission (2026), half of EU SMEs and mid-caps name high investment costs as a barrier to AI. We run the same count before any decision to build, because a custom CRM costs more than an integration and its maintenance comes on top.

When a ready-made product stays the strong choice

If the company mainly needs contacts, deals, activities, reminders and standard reports, compare the products available and the configuration of the current one. When you switch, check how clients move with their history: HubSpot describes exporting records with current properties and associations. A narrower scope of work with messages and updates is described in AI in your current CRM. A build becomes worth considering when a significant part of the work follows a specific, lasting path that the available products cannot handle acceptably.

Configuration, integration or a custom app
  • A field, a view or an update rule is missing

    configure the current CRM

    no build

  • The specialist works in another system

    integrate the two places with assignment and date

    from €3,000

  • A specific, lasting path beyond what products can do

    a custom app next to the CRM

    €3,000 to €7,000

Where to start

If a custom component is built, we set the data boundary between it and the CRM and who is responsible for missing updates. Bring the manager's spreadsheet to the call: its columns show what the CRM lacks. We build this kind of rollout as part of AI apps. For the free process review, a description of one case from recent weeks and the tools it went through is enough. You do not need to send confidential documents, and you get a written plan within 2 working days.

Worked example · Scenario

How we count the payback: AI in your current CRM

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

€931

a month for entering 400 CRM updates by hand

Payback: 3.8 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 is a custom CRM a poor investment?

    When the problem comes from unclear working rules or a missing field and view that the current CRM has after configuration. A new system will then inherit the same problem.

  • When is it worth building your own component next to the CRM?

    When a significant part of the work follows a specific, lasting path that products do not support, for example assigning a specialist who works in another system. Then we build a narrower app or an integration.

  • How much does such an app cost?

    At Syntalith from €3,000 net. With 600 quote updates a month at 4 minutes each, the payback is 2.7 months. We agree integrations and maintenance before the quote, and the model costs €4 a month.

  • How do you move data when changing CRM?

    Check the export of records with their history and associations before you decide. HubSpot describes exporting current properties and associations, and the history of correspondence needs planning separately.

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.