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How to compare AI implementation proposals of different scope?

Short answer

Compare AI implementation proposals for the same work result, volume and period. Keep the launch cost apart from the monthly fees and from the team's time for checking results. In the example proposal A costs €3,000 at the start and B €4,800. After 12 months, with fees and checking hours, A costs €13,176 and B €9,350, which is €3,826 less.

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: Artem Lisovtsov · Co-founder · Applied AI/ML Architect · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Choosing an AI contractor: statistics 2026

€3,826

less after 12 months for the proposal that is dearer at the start, when it needs less checking: €9,350 against €13,176. Scenario.

Figures checked: 22 October 2026

Agree on a shared end of the process

The order covers reading the request, a draft in the CRM and handing it to an employee for approval. A table with the content of the requests ends earlier: someone still moves the data into the CRM and checks for duplicates. If one quote ends at a file and another at a record in the system, their prices describe different scopes. This guide starts once you already have proposals. An AI implementation brief helps you prepare the request, and our guide to choosing an agency helps you judge a firm's experience.

Point of comparisonWhat must be unambiguous
The result for the employeeA file, a draft in the system or an approved operation
Connection to the systemIts name, read or write access, access limits
A failed caseWho receives the exception and what they see
A repeated operationHow a duplicate is detected and what may be retried
Sign-offTest material, expected behaviour, the person who approves
Work after launchThe scope of care, availability of help, the cost of changes
End of the contractHandover of accounts, data and documentation

Ask the contractors to mark which steps the price covers. Only when both proposals end at the same point in the process does the comparison help with a budget decision. Add a column with the page number of the proposal or a link to the contractor's answer. A claim in a presentation and a line in the scope can differ, and you clear up the difference before you choose.

Two quotes and a year of work

Scenario: the same scope, two proposals, 12 months
Proposal A
€3,000 + 12 × €150 + 12 × 20 h of checking × €34.90 = €13,176
Proposal B
€4,800 + 12 × €100 + 12 × 8 h of checking × €34.90 = €9,350
Difference after a year
€3,826 in favour of B

A lower launch price does not decide the whole cost

The proposal amounts and the checking hours are the example's assumptions, which you replace with figures from the proposals you received and with timing on comparable cases. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat.

If B's advantage comes only from fewer checking hours, recount both options with the same checking time. You will see how much the decision depends on that assumption. Add licences, data preparation and migration left out of the quote as separate items. The value of time means extra capacity in the team. Salaries do not fall because of it. The FinOps unit economics practice helps you count the cost per case.

Check what the stated accuracy means

Questions about „95% accuracy”
  • On how many cases the result was measured
  • How the cases were chosen and whether hard ones were among them
  • What counted as a correct result: a field or the whole document
  • What happens with missing data
  • Who handles cases handed to a person, and how long that takes

Handing a case to a person is often the correct behaviour, but you include that work in the calculation. Cases that could change data without consent need their own sign-off criteria. NIST describes the AI RMF as a voluntary framework for managing risk when designing, using and evaluating AI. It is neither a contractor certificate nor a scale for choosing the cheapest proposal.

When to ask for a smaller scope

A smaller first step
  • Most of the price is integration

    a feature of your current system

    check it before the build

  • The tool is there, the skill to check it is missing

    team training

    from €1,150 a day

  • Even the end of the process is hard to pin down

    a process audit

    from €600

  • The scope is clear and the result measurable

    automation of one process

    from €3,000

Syntalith offers a process audit and automation of one process at a fixed price. As a contractor we are no neutral referee between competitors' proposals, but you can apply the table and the count to every proposal, ours included. When even the end of the process is hard to pin down, ordering a full build leaves too many unknowns, and it is better to start with an audit. The article on fixed price and time and materials compares the billing models.

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

  • How do we compare AI implementation proposals?

    Bring them to the same result, volume and period. For each, count the launch, 12 months of fees and the value of the team's time for checking and corrections. Do not price a missing feature yourself: write „to be quoted” and ask the contractor to fill it in.

  • What does „95% accuracy” in a proposal mean?

    Ask about the number of cases, how they were chosen and the definition of a correct result. A correct reading of one field does not confirm that the whole document is correct, and a result without hard cases says nothing about how they will be handled later.

  • Is the cheapest proposal really the cheapest?

    Not always. In the example a €3,000 proposal with 20 hours of checking a month costs €13,176 after a year, and a €4,800 proposal with 8 hours of checking costs €9,350. Test the assumption about checking time on comparable cases.

  • How much does an implementation with Syntalith cost?

    An automation, an app or an agent from €3,000 net, at a fixed price after the free process review. A process audit from €600 net is credited toward the build.

  • When should we ask for a smaller scope?

    When most of the price is integration and a feature of your current system is enough to start with. When employees have the tool but cannot check its answers, training from €1,150 a day may be what you need.

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.