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AI Agent Handover: Test Before Acceptance

Short answer

Before you accept an AI agent, ask the person who will run it to do an agreed task alone on the company's account: identify the approved release, check access and the connection to the system and carry out the agreed stop. At Syntalith an agent costs from €3,000 net, and with 500 agent-handled cases a month at 8 minutes each it pays back in 1.7 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 agent for one process, build paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€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

AI agents in companies: statistics 2026

1.7 mo.

payback of a €3,000 agent at 500 agent-handled cases a month: €2,327 of work today, €599 with checking and the model. Scenario.

Figures checked: 22 October 2026

A scenario: the agent cannot find an order

The agent helps employees search for orders. After it moves to the buyer's account, a user reports that the agent did not find a record that should be available. The future operator establishes whether the trial concerns the approved release of the agent and whether the connection to the right source works. Then they tell an access problem from a wrong result by the agent. The message „not found” alone does not settle which situation occurred.

The exercise runs in a test environment, on accounts the buyer controls, with no passwords handed over in the documentation. The supplier may watch. Readiness is confirmed by what the operator does on their own. The guide to importing and exporting Copilot Studio agents requires authentication to be configured again after import and dependencies such as connectors to be handled separately, so you check the operator's access after the move.

Acceptance card fieldWhat to record
Scope of the trialthe process, the functions covered by acceptance and the exclusions
Version and environmentthe release identifier, the configuration and the test sources
Set of casesordinary cases, missing data, conflicts, duplicates and a connection failure
Pass conditiona requirement for each type of case, set before the trial
Handovera task done by the future operator alone
Gapsseverity, owner of the fix and the date of the retest
Decisionacceptance or a list of conditions, the person deciding and the date
The handover trial
  1. 01Ticketthe operator receives the report „the agent did not find the order”
  2. 02Releasethey identify the approved version of the agent
  3. 03Dependenciesthey check the account, the connection and the source
  4. 04Diagnosisthey tell missing access from a wrong result
  5. 05Stopthey carry out the agreed stop or escalation

What an AI agent costs and when it pays back

Scenario: 500 agent-handled cases a month
Today
500 agent-handled cases × 8 min = 66.7 h × €34.90 = €2,327
With the system, a person checks the output in 25% of the time
€582
Model, 3 calls per case, Claude Sonnet 5.5
€17
Cost of one case
€4.65 today, €1.20 with the system
Saving
€1,728 a month

Payback of €3,000

1.7 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: 4,000 input tokens and 500 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, 25% 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.

An average accuracy can hide an error that blocks launch on its own, for example a write without the required approval, so we assess such conditions separately. According to Gartner (2025), over 40% of agentic AI projects will be cancelled by the end of 2027, and the lack of an operator able to take over the system is one of the easier causes to avoid.

What a failed handover test means

An unrecognised release, an unchecked dependency or no decision to stop leave a gap in the handover. A single missing permission needs the account completed, while a missing owner of a connection or an unsettled version needs a wider agreement before the next trial. Not every automation needs such a trial: for a simple tool run occasionally, with no external connections, a review of the documentation and a joint run are enough. You gather the requirements earlier in an AI implementation brief.

Which acceptance to choose
  • A simple tool, one owner, no connections

    a documentation review and a joint run

    no extra cost

  • An agent with several accounts and dependencies

    a handover trial with an acceptance card

    included in the rollout

  • The operator did not pass the trial

    a limited fix and a new acceptance

    priced after the review

Where to start

For the call, bring one ticket the operator should be able to handle, the name of the future owner of the accounts and a list of the systems the agent connects to. Ongoing maintenance after acceptance is covered in the article on AI agent maintenance after deployment. We build this kind of rollout as part of AI agents. 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: case handling with an agent

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

€5,817

a month for answering 2,000 customer emails

Payback: 0.6 mo.

5 minutes to read an email and write a reply 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 + 600 tokens per message with a draft reply, 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 ↗

See the agent on your own cases before you commit.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 →

AI agents

See the agent on your own cases before you commit.

The agent takes the case through the next steps in your systems, and the actions take effect until the consent of the indicated person is obtained. A prototype for 20-100 cases that your team has already handled costs €0. We write down the purpose and test set in the contract.

See AI agents →
net per agent for one process, build paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0

Questions

  • How do you accept an AI agent from a supplier?

    The future operator does an agreed task alone on the company's account: identifies the release, checks access and the connection and carries out the stop. You record the result in an acceptance card with a list of gaps.

  • Is the supplier's documentation enough?

    For a simple tool, yes. For an agent with several accounts and dependencies, the documentation describes the system, and the trial shows whether the operator can take it over. These are two separate pieces of evidence.

  • How much does such an agent cost?

    At Syntalith from €3,000 net. With 500 agent-handled cases a month at 8 minutes each, the payback is 1.7 months. We agree integrations and maintenance before the quote, and the model costs €17 a month.

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.