Hand recurring work to AI. Keep the important decisions with people.
Name a process that costs your team hours every week. During a free process scan, we will assess whether it is worth handing to AI. Within 2 days, you will receive a written recommendation: what to implement first, how to tell whether it works, and what budget to expect.
Client review
View the original training review on LinkedInWe 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.
Scope of work
- Personal AI agent
Kuba's own AI operator, installed on his computer with a clear boundary and a trace behind every decision.
- 1:1 training
Working with Claude on his own processes, built to ship in production.
Public course review on LinkedIn - AI across the business
An ongoing rollout of the resulting tools and working practices across his team.
Selected client work
From a personal AI agent and training to systems used by entire teams.
Why now
AI is already inside companies. Agents are only beginning to enter daily workflows.
The Stanford AI Index found that 88% of surveyed organizations use AI in at least one business function. In almost every business function, fewer than 10% of surveyed organizations used agents. The largest productivity gains appear in structured, measurable work. That is where we start.
Stanford AI Index, 2026of surveyed organizations use AI in at least one business function
We choose the process, set the target, and only then start the build.
Gartner predicts that over 40% of agentic AI projects will be cancelled by the end of 2027 because of rising costs, unclear value, or inadequate risk controls. We therefore define the scope of work, set one measurable target, and decide which cases the system routes to a person before the build starts.
One repetitive process
We choose a task that returns every week: inbox handling, invoice entry, quote preparation, or sales-prospect follow-up. That gives us a baseline cost and a precise definition of the work the system should take over.
One target to reach
Before the build, we set a process metric: handling time, the number of cases completed without manual work, or the share of records prepared correctly. The pilot then produces a result that can be checked.
Exceptions return to a person
The system gets the access required for its task, records what it does, and routes cases that need judgement to a named owner. The team keeps control of decisions with business consequences.
After the pilot, you see the result on your data: how much work the system handled, where a person is still needed, and whether the implementation is worth expanding.
- A specific process
- One measurable target
- A fixed price
- Your code stays yours
Selected systems doing daily work.
Each entry shows a named task the system handles, where a person decides, and the record left behind.
Four listing portals turned into a short decision queue.
The system follows saved searches on OLX, Otodom, Gratka, and Morizon, keeps listing history in a CRM, and shows the operator only the events that need a decision.
Named client implementation
Signature Estates
Agent for real-estate acquisition
- B2B services, shared inbox
An inbox where people only get the exceptions.
See the deployment - VC fund, investment analysisDelivered
A company pipeline scored before the analyst sits down.
See the deployment - Personal operator
A personal AI operator, tuned and hosted on the owner's own machine.
See the deployment - jakotako.design · one-to-one training
Claude training that ended with an agent loop for sales prospects and competitors.
See the deployment
Our own product
A voicebot that answers calls, qualifies requests and books appointments when the team cannot pick up. It also makes outbound calls, integrates with the client's systems and records the result of every call.
We also build and run our own products on live traffic. You can inspect the product before asking us to scope yours.
Open odbierze.aiCalculate the cost of manual work
What does the work your team handles manually cost each year?
Choose the repetitive work and enter the real hours and hourly cost. The calculator will show the annual cost of handling it manually today.
An automation build starts at €3 500. Code and implementation are billed once. Model, hosting, and production-maintenance costs are disclosed before the contract.
Choose the tasks to cost
For each item, enter the hours it takes in a typical week.
Your numbers
Hours per week × cost per hour × 52 weeks.
Annual cost of the selected work
Tick a process and set the hours to see the number.
The calculator shows the full cost based on your figures. During the scan, we determine how much of the work the system can take over and how we will measure the result.
We start with one process and deliver the system for a fixed price.
During the free scan, we define what the system should take over and which result it should achieve. We then choose an automation, app, or agent. Automations start at €3 500 net; apps and agents start at €6 000 net.
Annual cost of the selected work
Count your cost in the calculator aboveThis cost returns every year. You pay once for the code and implementation; model, hosting, and production-maintenance costs are disclosed before the contract.
AI implementation
After the scan, you receive the scope, fixed price, and a recommendation on whether the process needs an automation, app, or agent.
from €3 500
Scan & Specification
You start with the free scan; the full implementation specification says it plainly: whether to build, what to build, and at what fixed price. If you commission the system build from us, we credit the specification fee toward the build.
what to automate and in what order · process map, architecture, plan · a fixed quote at the end
€0 (scan) / from €1 200 (Specification, optional)
30 min / 5 days
AI Automations
Repetitive office work runs itself: the system reads, classifies, files and replies, and people only approve.
an invoice from email lands straight in accounting · a request gets a case record and a draft reply · the weekly report assembles itself
from €3 500
2–6 weeks
AI Agents
A system that runs a process from event to outcome and calls a human only on exceptions.
portal monitoring and a decision queue · inbox triage under an agreed policy · research and dossiers before a decision
from €6 000
6–16 weeks
AI Apps
Your own application with a language model inside, built for your process when a ready-made tool does not fit.
search across company documents · data extraction from PDFs and scans · an internal panel with a copilot
from €6 000
4–10 weeks
Personal AI agent
A personal operator for owners and executives: inbox triage, briefings, research, and decision preparation on infrastructure you control. Actions with business consequences go to you for approval.
from €1 200
AI training for companies and teams
Your team uses AI in daily work to produce source-based documents and analysis under clear data-handling rules.
net · quoted per scope
from €1 200/day
AI agent development course for developers
Build with agents under defined controls and keep the resulting method and tools.
paid course · net
quoted after a call
The scan chooses one process to assess, and within 2 business days you receive a recommendation, including when a simpler route is the better fit.
Book a free process scan (30 min)Prices net (excl. VAT). A first automation starts at €3 500; a typical production build runs €6 000–35 000.
We set the pilot target before the build.
A pilot on agreed data usually takes 3–6 weeks. Before it starts, the contract states the target, the fixed price, and how we will check the result. After the pilot, you get the results and decide whether to proceed with the full implementation.
A pilot on your data
The system handles an agreed part of the process. After the pilot, we check whether it reached the target in the contract. You get the results you need to decide on the full implementation.
Agreed fixes within the fixed price
If the pilot misses the written target, we complete the set of fixes defined in the contract within the pilot price. Further changes are quoted separately.
The code stays yours
Code, model instructions, test data, and documentation belong to you. You can keep developing the system with us or hand it to another provider.
Pilot results
After the pilot, you see what the system achieved, what the full implementation will cost, and what work remains with the team. You then decide whether to continue.
The result guarantee applies to automation, app, and agent implementations. It requires access to the agreed data, enough cases for a reliable assessment, and the scope agreed before the pilot to remain unchanged. Training is priced and accepted under separate terms.
Five steps from the first call to a working system.
Each stage ends with a concrete result and a decision on whether to continue.
30 min · €0
Scan: choose the process
You spend 30 minutes with an engineer on the work consuming your team's time. Within 2 business days, you receive a written summary with the recommended order and cost range.
5 business days
Scope and fixed quote
For a focused project, we prepare a free fixed-price proposal. For a larger scope, we write an implementation specification from €1 200 that you can hand to any provider. We credit that fee toward the build.
fixed price
A contract with a clear target
The contract states the scope, price, pilot target, and how we will check the result. You know the acceptance conditions before work starts.
build time depends on the format · pilot usually 3–6 weeks
Build and pilot
We build the system, run it on the agreed data, and check whether it reaches the agreed target. If it falls short, we complete the fixes defined in the contract within the pilot price.
Yours to keep
System handover
You receive the code, model instructions, test data, and documentation. Production launch includes maintenance, with scope and price agreed before the contract.
Deployed
The outcome of the free scan
Within 2 business days, you receive a plan for the first implementation.
Within 2 business days, you receive one or two pages with the recommended order, cost ranges, and a measurable target for each item. You can send it straight to the person approving the budget.
Process scan takeaway
example layout
Invoices from PDF straight into the ERP
AI automation · first
from €3 500
Invoices routed for approval
AI automation · after the first result
from €3 500
Agent reconciling invoices
AI agent · stage two
from €6 000
If a simple script or a later start is the better route, the recommendation appears in the summary.
Each item shows the order, starting price, measurable target, and actions that require a person's decision. If you need a full process map and architecture, we prepare an implementation specification.
Delivery and technical review
Four people who put their names to the work.
More than 22 years of software engineering experience combined. Artem and Serhii own the architecture and delivery. On complex projects, Przemek and Piotr independently review the architecture and stand behind their assessment.
Meet the full team
Artem Lisovtsov
Co-founder · Full-Stack & AI/ML Architect
Has built production systems for more than 6 years. His AI work spans chatbots, model training, fine-tuning, and private deployments through RAG and workflow orchestration to agents that use governed sources and tools. He has worked with AWS Bedrock, OpenSearch, and pgvector.
Serhii Ivanchatenko
Co-founder · Voice AI & Agent Systems Engineer
More than 7 years of commercial .NET experience. At Syntalith, he builds voice AI and agent systems: telephony, integrations, evaluation sets, scenario and edge-case testing, and execution-trace analysis.
Przemysław Markiewicz
GenAI Tech Lead · external auditor
More than 5 years in IT, including more than 2 years of hands-on AI and LLM work. He designs RAG and multi-agent systems, runs models on-prem, and leads fine-tuning and evaluation.
Piotr Łach
Backend & AI Engineer · external auditor
Four years of production Python backend experience. He built APIs, RAG platforms, asynchronous data pipelines, and automated local vLLM deployments on Kubernetes.
Training
Your team already uses AI, just on its own terms.
We train technical and nontechnical teams on their own process or codebase. Sessions are led by engineers who run AI systems in production. We have delivered five one-to-one sessions.
Who teaches
- Led by engineers who run AI systems in production
- Data rules, verification, approval, and an audit trail
- A documented method and reusable working materials
Participant testimonial
I came in using coding agents ad hoc and left orchestrating them: loops, an agent kanban, a full development cycle that ships. What stayed with me is running context and cost on purpose, and building my own harnesses instead of waiting for a tool to ship one. It changed how I work day to day.
Senior Software Engineer, Immutable
Two ways in
For builders · 1:1 or company
AI agent development course for developers
Build with agents under defined controls and keep the resulting method and tools.
quoted after a call
paid course · netFor non-technical teams
AI training for companies and teams
Your team uses AI in daily work to produce source-based documents and analysis under clear data-handling rules.
from €1 200/day
net · quoted per scope
FAQ
How much does an AI deployment cost?
Automations start at €3 500 net; AI apps and agents start at €6 000 net. Most production implementations cost €6 000–35 000. Price follows the data sources, integrations, autonomy, and risk in scope.What does the free scan commit us to?
A 30-minute conversation with an engineer and a written summary within 2 business days. It ends with a recommendation, including when a simpler route is the better fit.What if something simpler than an agent is enough?
Sometimes the scan recommends an integration or a simple script; sometimes it recommends waiting. We record that recommendation as part of the work, at no cost.What if the AI makes a mistake?
The system gets boundaries and a full action trail: anything it isn't sure about goes to a human, and production impact requires approval. In the pilot we write down a measurable target and test it on your data before you commit to the full rollout.How long does a deployment take?
Automations 2–6 weeks, apps 4–10, agents 6–16. We set the scope and the timeline in the contract before we start.Where is our data processed?
Before work starts, we sign a data processing agreement (DPA) and agree the environment, data scope, and access. For deployments that require it, we design the flow so data never leaves the EU and model providers operate under zero data retention. The system receives only the permissions needed for the specific process, and sensitive operations require human approval.
Start with the process costing your team the most time.
During the free scan, you describe the team's repetitive work. Within 2 business days, you receive a recommendation: what to implement, in what order, and at what budget.
- A 30-minute call with the engineer who would lead the work.
- A review of the processes that cost you the most time and money.
- A written summary of what to automate first and the likely cost range.
Times are shown in your own time zone. We work with clients across time zones.
The scan chooses one process to assess, and within 2 business days you receive a recommendation, including when a simpler route is the better fit.
On the call, we show working implementations and how we measure their results. Browse the deployments before the call
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