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Project kickoff decisions: how the workflow works

Short answer

At project kickoff the system links an email thread, a PDF and the note from the opening meeting into a plan in which every finding has a source. When two documents give two start dates, the conflict stops the plan from closing until a person decides. At Syntalith an automation costs from €3,000 net, and with 40 projects a month at 120 minutes each it pays back in 1.5 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
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: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Projects and AI: statistics 2026

1.5 mo.

payback of a €3,000 automation at 40 projects a month: €2,792 of work today, €841 with checking and the model. Scenario.

Figures checked: 22 October 2026

Two documents, two start dates

A kickoff pack is an email thread with a copy of a forwarded message, a PDF attachment and the note from the opening meeting. The project manager tells an approved fact from its source and from an issue that waits for a decision. In the example the email gives one start date and the PDF another.

In our demonstrator a deterministic gate stops the date conflict before the model sees anything: the plan will not close with two dates. A person decides and puts their name to the date. Every finding leads to a specific file or passage, and the history shows any later change to the record. Three answers prepared locally had a median of 509 ms, with no fees for an external API.

The project kickoff plan in the Syntalith demonstrator
An archived demonstrator screen, August 2026.
A kickoff plan with sources
  1. 01Packemails, a PDF and the meeting note
  2. 02Findingseach with a link to a file or a passage
  3. 03Conflicttwo dates stopped by the gate before the model
  4. 04Decisiona person chooses the date and signs
  5. 05Historya later change to the record stays visible
The scope of the evidence
  • One kickoff pack, without spreadsheets, encrypted PDFs or several languages
  • The three prompts are an integration test and make no claim as a model benchmark
  • A rule detects the date conflict, and the model takes no part in it
  • A pilot needs roles, retention and manual approval before the plan is saved

What fact provenance at project kickoff costs and when it pays back

Scenario: 40 projects a month
Today
40 projects × 120 min = 80 h × €34.90 = €2,792
With the system, a person checks the output in 30% of the time
€838
Model, 3 calls per case, Claude Sonnet 5.5
€3
Cost of one case
€69.80 today, €21.02 with the system
Saving
€1,951 a month

Payback of €3,000

1.5 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: 10,000 input tokens and 1,000 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, 30% 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 assumes 40 project kickoffs a month with 2 hours of assembling findings from documents each. We leave 30% in the count for checking the plan and deciding on conflicts.

When a template and a note are enough

For a simple project with one kickoff document, a plan template and the meeting note are enough. A system makes sense when findings are scattered across threads, attachments and notes, and the manager has to reconstruct where a date or a scope came from. Start with a template for one type of project, and set the sources of decisions, the owner of discrepancies and the condition for accepting a new version of the plan. Recording an agent's steps and sources is easier with tracing in OpenAI Agents. Materials for decisions are described in AI for managers and boards.

A template, a system or an agent
  • One kickoff document

    a plan template and a note

    no build

  • Findings in emails, PDFs and notes

    a plan system with sources and a conflict gate

    from €3,000

  • Many projects and changes after kickoff

    an agent that tracks changes to findings

    priced after the review

Where to start

The first trial covers one type of project and the packs from recent kickoffs. To prepare: examples with an agreed correct result, a decision owner, and data sources with a defined scope of access. We build this kind of rollout as part of AI automations. 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: project kickoffs

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

€1,675

a month for preparing 12 management reports

Payback: 2.1 mo.

4 hours to prepare a management report 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: checking the commentary in our reporting system (about €0.0002) plus compiling the data (Claude Sonnet 5.5, about 30,000 + 2,000 tokens), 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 ↗

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 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 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 does AI help at project kickoff?

    It links emails, attachments and notes into a plan in which every finding links to its source. Conflicting data, for example two start dates, stops the plan from closing until a person decides.

  • Who settles a conflicting start date?

    The person who puts their name to the date. In the demonstrator a rule stops the conflict before the model prepares the plan.

  • How much does such an automation cost?

    At Syntalith from €3,000 net. With 40 projects a month at 120 minutes each, the payback is 1.5 months. We agree integrations and maintenance before the quote, and the model costs €3 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.