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Articles grouped by business problem, industry, and system type.

Quotes you can inspect: how the workflow works

Quoting a request for quotation with AI involves no guessing when the data schema allows only two results for a line: priced with evidence, or passed on for a decision with no price field. Known lines get a price from a precedent or a rule, and unusual machining goes to the process engineer with a specific question. At Syntalith an automation costs from €3,000 net. At 200 RFQs a month of 45 minutes each, it pays back in 0.8 months.

RPA or AI agent: choose the right automation

RPA replays clicks in interfaces and makes sense when a system has no API and the process does not change. API automation links systems directly and is usually the cheapest. An AI agent reads the content of a case and picks a path within agreed limits. The order of choice: API first, then RPA, the agent last. At Syntalith an automation costs from €3,000 net. At 500 cases a month of 10 minutes each, it pays back in 1.3 months.

Ticket triage: how the workflow works

The model that assigns residents' tickets in our demonstrator scored macro-F1 0.828, below the 0.850 quality threshold, so the routing gate failed. We publish the result because it shows why a dispatcher approves each assignment and why urgent and ambiguous cases stay in a manual queue. At Syntalith an automation costs from €3,000 net. At 1,000 resident tickets a month of 4 minutes each, it pays back in 2.2 months.

Tender review with sources: how the workflow works

A tender document can contain an instruction aimed at the model that reads it. A document reader with no network and no tools passes on only a closed set of fields, so a foreign instruction never reaches the part that plans actions. At Syntalith an agent costs from €3,000 net, and with 300 tender notices a month at 10 minutes each it pays back in 2.3 months.

AI Competitor Monitoring: Which Setup Fits?

An AI agent for competitor monitoring checks named sources on a schedule: price lists, product pages, announcements, job adverts and tenders. It reports only the changes since the last check, each with a link. With 40 sources checked daily at 3 minutes each, a €3,000 agent pays back in 2.2 months. With two competitors checked once a week, the free Google Alerts is enough.

AI for Complaints and Returns: A Controlled Case Workflow

An AI agent for complaints logs the case, tells a complaint apart from a return or a question, gathers the order and the photos, tracks the reply deadline (14 days under Polish law) and writes a draft according to your policy. A person approves the substantive answer. The agent costs from €3,000 net at Syntalith and, with 400 complaints a month at 12 minutes each, pays back in 1.5 months.

AI Contract Review: Extract, Compare, and Escalate

An AI agent for contract review extracts the parties, amounts, deadlines, termination and penalties, compares them with the company template and flags deviations with a quote and their place in the document. A person decides whether to sign. At Syntalith such a system costs from €3,000 net. With 200 contracts a month, when review drops from 40 to 20 minutes including preparation and checking, it pays back in 1.3 months.

AI Agent Use Cases: Choose a Business Process to Pilot

An AI agent chooses and carries out the next steps in a specific process, using data and tools, and hands exceptions to a person. The most common uses in companies are a shared inbox, customer service, complaints, quotes, invoices, reports, CRM, receivables, competitors, tenders, the IT helpdesk and data questions. At Syntalith an agent costs from €3,000 net. With 1,500 emails a month in a shared inbox, it pays back in 1.0 month.

AI Translation for Business: When to Automate

An AI agent for translation makes sense when translations form a repeated stream: hundreds of product descriptions in several languages with a company glossary, the brand's tone and a write to your systems. A ready-made tool translates a single text, and a person checks contracts. The automation costs from €3,000 net at Syntalith and, with 1,500 description translations a month at 8 minutes each, pays back in 0.7 months.

AI Agent for Database Questions: A Buyer Guide

An AI agent for your database takes a question in plain language, builds an SQL query against approved views and shows the result computed by the database, together with the definition of the measure and the query it ran. The account has read-only rights. The application costs from €3,000 net at Syntalith and, with 120 data questions a month at 20 minutes each, pays back in 2.5 months.

Shared Inbox Automation for Gmail and Outlook

Shared inbox automation sorts emails in Gmail or Outlook, extracts the data, routes cases to the right queue and writes draft replies for approval. At foap.com, every email that needs a reply gets a ready draft in a median of 30 seconds. The automation costs from €3,000 net at Syntalith and, with 2,000 emails a month at 3 minutes each, pays back in 1.2 months.

AI Agent for Excel: Decide What the Sheet Is

An AI agent for Excel makes sense when the spreadsheet is the last step of a process: the automation reads emails, PDFs and exports, extracts the fields, checks them and enters them into the sheet with their source. For formulas and pivot tables, Excel's own features and Copilot are enough. The automation costs from €3,000 net at Syntalith and, with 800 documents a month at 4 minutes each, pays back in 2.0 months.

AI Agent for IT Helpdesk: Choose a Safe First Ticket Slice

An AI agent for the IT helpdesk gives tickets a category and priority by rules, answers repeated questions from the knowledge base with a source and runs routines such as a password reset through narrow service accounts. It passes exceptions to an engineer with the context. The agent costs from €3,000 net at Syntalith and, with 600 repeated tickets a month at 8 minutes each, pays back in 1.4 months.

AI agent for property developers: coordinate the project cycle with clear approvals

An AI agent at a property developer works best when it starts with one stage that a named person can judge, for example draft answers to buyers about construction progress from approved site updates. Sending, reserving a unit and changing a price stay with a person. The agent costs from €3,000 net at Syntalith and, with 400 buyer questions a month at 12 minutes each, pays back in 1.5 months.

AI Agent Maintenance: Ownership and Change

AI agent maintenance is the care after deployment: monitoring, handling problems and updates when the data, the models or the integrations change. At Syntalith a named engineer is responsible for it, and we set the price after reviewing the scope. You count running costs separately: at 2,000 cases a month, the Claude Sonnet 5.5 model costs about €64, and a Hetzner server from €5.49.

AI Agent for Tender Monitoring in Poland: Source and Review Guide

An AI agent for tenders reads notices from Poland's BZP procurement bulletin and the EU's TED within an agreed scope, compares the requirements with your company profile and prepares a summary with deadlines and sources. With a small volume, an alert by CPV codes and location is enough. The agent costs from €3,000 net at Syntalith. With 600 notices a month at 12 minutes of first reading each, it pays back in 0.9 months.

AI assistant on Telegram or WhatsApp: choose the channel

An AI assistant on Telegram or WhatsApp is the channel through which an agent's work reaches you: a morning report, the result of an analysis, a draft reply for approval, a deadline reminder. The messenger is the window, and the value comes from the agent working in the background. Your own agent on a Hetzner server costs from €5.49 a month plus the model, about €3 in the scenario. At Syntalith we build agents for teams from €3,000 net.

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AI agents

See the agent on your own cases before you commit.

The agent moves a case through its steps, and actions with consequences wait for approval from the person you name. Before you sign, we write down the goal and a test set built from your cases.

Price
from €3,000 netper agreed process
Time
6–16 weeks
First step
30 min with an engineer, €0written summary within 2 business days

Times are shown in your own time zone. We work with clients across time zones.

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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.