AI agents for business. From the first request to the finished task.
The AI agent runs one specific process in your systems. Actions that require human decisions are retained for approval, and each step remains in a history that can be checked.
- net per process, fixed quote before signing
- from €3,000
- from contract to acceptance on your process and your data
- 6–16 weeks
We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓
How we workDetails ↓
- 01Call30 minutes with an engineer, free
- 02PrototypeA working system on your process and data, free
- 03ImplementationTarget and fixed price in the contract; 50% at signing
- 04Acceptance50% once the agreed target is met
Why an AI agent
The agent handles cases that would otherwise wait in someone’s inbox.
The agent reads e-mails, documents and portals, checks data in CRM and selects the next step within the established scope. Shipment to the customer, change of data and payment await the consent of the indicated person. Every action remains in history.
5 min
time in Signature Estates from a new ad on OLX to ready contact with the seller.
How it works
The agent does the work. Your team stays in control.
Works in your tools.
Email, CRM, documents and portals the team already uses. No new learning system.
Operates within a set range.
We write down the scope, powers and consent threshold before construction. The content of the email will not change the agent's policies.
Every step leaves a trace.
The story shows what the agent saw, what he did and why. You can stop the agent's work in the operator panel.
In production
AI agents that are already working.
Client workfoap.com · creator correspondence
95%
of customer replies are sent automatically, October 2026
The conversation, campaign terms and reply in one workspace.
How it works →Client workReal-estate investment
5 min
from a new OLX listing to a ready seller contact
An agent takes a property lead from the portals to the first SMS to the owner.
How it works →Client workPrivate-company screening · investment workflow
1 h 2 min
to run 48 companies from export to verdict, recorded in the live system
The first pass over the whole list, before the analyst opens a single company.
How it works →Client workHR team at a tech company · NDA
3–4 h
less work on every candidate
3–4 hours less work on every candidate.
How it works →Client workStaffing agency · NDA
almost 1 h
less work on every applicant
Almost an hour less work on every applicant.
How it works →Client workjakotako.design · one-to-one training
4 h → 30 min
a day spent finding new clients, per the studio
jakotako.design finds clients in 30 minutes a day instead of 4 hours.
How it works →
Statistics: How much time does an AI agent save in 2026?
According to our client, the agent saves the recruiter 3-4 hours on each candidate. In an employment agency, a voicebot conducts approximately 70% of the first conversations.
In an employment agency, an agent saves almost an hour of work for each person registered.
In an investment fund, the agent rated 48 companies in 1 hour and 2 minutes.
In the real estate office, contact with the seller is available 5 minutes after the new advertisement.
According to the Central Statistical Office (September 2026), an hour of work costs the company PLN 66.45 including employer's contributions.
Sources: Central Statistical Office, Average employment and salary in the enterprise sector in September 2026. ↗ · Descriptions of Syntalith implementations
Data checked on October 25, 2026.
- less recruiter work for each candidate, according to the client (2026)
- 3–4 hours
- the first interviews at the employment agency are conducted by a voicebot (respect)
- about 70%
Working time without and with an agent
By hand: 2–3 hours, With an agent: 20 min
By hand: 30–45 min, With an agent: 5 min
The time before and after implementation is provided by clients or we estimate it from work history. Each estimate is marked.
An AI agent makes sense when an employee manually guides each case through several decisions.
If constant steps are enough, choose automation, which we build in 2-6 weeks. The agent costs from €3,000 net, and construction takes 6-16 weeks. Sending and changing data await human consent.
What does the price depend on?
- 01The number of data sources and integrations
- 02The scope of autonomy and the complexity of rules and exceptions
- 03Security, consent and trace-audit requirements
„Why should I trust you?”
Because the system is built by engineers with over 22 years of experience.
You talk to people who then write code. They have worked in large companies and built systems that operate under high traffic.
You won't spend money on a prototype that won't do anything.
First a free conversation, then a free prototype in your trial. If we don't see a return, we don't build and write it straight. You only pay for a system that makes sense.
Polish-Ukrainian team of engineers.
Artem, Przemek and Piotr studied computer science together at the Lublin University of Technology in 2017–2021. Artem and Serhii founded Syntalith together. They both come from Kiev and have been living in Poland for years. We build systems for Polish companies, in Polish and according to Polish law.
2017–2021: Artem, Przemek and Piotr study computer science together at the Lublin University of Technology.
Serhii Ivanchatenko7+ yearsLinkedIn ↗CRM and PLM systems for global companies
Artem Lisovtsov6+ yearsLinkedIn ↗from backend to AI architecture
Przemysław Markiewicz5+ yearsLinkedIn ↗GenAI team technical lead
Piotr Łach4 yearsLinkedIn ↗backend and RAG in high-traffic systemsWhat 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.
- 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.
How we build automation and agents
From a conversation to a working system in four steps.
01 · 30 min
Free process review
€0
You're talking to an engineer. You receive the written plan within 2 business days.
02 · 5 days
Free prototype
€0
The system works on 20-100 cases that your team has already handled. You see every result.
03 · 2–16 weeks
Build
50%
Fixed price and goal written in the contract. First installment upon signing.
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
We set a goal
What result do you consider good?
The system is working
It goes through your affairs, one by one.
We compare
We check every difference with the team's work.
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.
We establish a prototype during a free analysis.
Data checked on October 25, 2026.
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.
- Write
- contact@syntalith.ai
- Call
- +48 888 78 48 78
- write on WhatsApp
Mon–Fri 9:00–17:00 CET
Common questions
Does my process need an agent?
Not necessarily. If an automation or an app can handle the process, we recommend the cheaper option. An agent makes sense when the process needs decisions across several steps and work in multiple tools at once.How do you keep control of an agent in production?
The same nine criteria the agent meets at launch keep applying in production: every action shows up in the panel and the log, and operations with production impact wait for human approval. After launch the system runs under maintenance.Is our data safe and GDPR-compliant?
Data is processed only in the environment we agree on, in the EU by default, and the scope of access is written down before we start. Where personal data is involved, we sign a data processing agreement (GDPR). The system gets the minimum permissions it needs, and only the assigned engineers have access.How is this different from a plain automation or other vendors?
An automation runs a fixed path; an agent makes decisions across multiple steps and tools at once, which is why it costs more and why we hold it to nine criteria. Our pricing is open from the start: we show the band here and a fixed quote in the proposal after reviewing the requirements, with the system's boundaries written down explicitly.How much does an AI agent cost?
Implementations start at €3,000 net. Price follows the process scope, data sources, integrations, autonomy, risk, and audit requirements. The proposal gives you a fixed quote before signing.How long does an agent build take?
Usually 6–16 weeks from contract to production, depending on the number of integrations and approval paths. The timeline is part of the proposal and is not settled mid-build.Can an AI agent keep a company operating 24/7 without a night shift?
An agent can run a defined, repeatable process around the clock: accepting cases, completing safe steps, and routing exceptions to an on-call person. Decisions with business impact still wait for human approval. Examples include customer service, hotel operations, and IT help desk.What if it doesn't work in our process?
At the review and before launch we set a quality threshold and a baseline, so the result is measured against something concrete. If the process falls short of the nine criteria, we recommend a simpler form and keep the agent build out; after the review you keep the written takeaway.
Related
- AI agent deployment for Signature Estates
- Case study: a founder's personal operator
- AI Automations
- AI agency in Warsaw, implementations across Poland
- How much an AI agent costs: 2026 implementation guide
- AI agent vs chatbot: differences and fit
- How long an AI agent implementation takes
- Prompt injection in AI agents
- AI agent vs AI automation
- Agentic AI for small businesses in Poland
- Pricing