The tag view groups articles by a concrete operational problem or implementation type, without exposing hundreds of raw frontmatter labels.
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.
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.
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.
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.
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.
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.
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.
Coordinate construction documents, tender research, subcontractor follow-ups, and payment records while site, cost, and safety decisions stay with the people who own them.
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 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.
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.
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.
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.
A logistics agent can classify transport enquiries, extract order data, prepare TMS records, report approved status events and track missing documents. This guide separates repeatable operations from pricing, acceptance and exception decisions.
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.
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.
A B2B trading or wholesale company can start with one controlled process around order intake, stock questions, or quote preparation. This guide explains the data, approvals, integrations, and starting points to assess before a build.
Hermes Agent is an open AI agent from Nous Research under the MIT licence. It joins a language model with memory across sessions, skills built from experience, tools, a scheduler and messaging channels. You can run it on your own server. The licence costs €0, and the server, model and upkeep come to about €332 a month in our scenario. At Syntalith we deploy an agent for a team from €3,000 net.
At Syntalith, automating one process with AI costs from €3,000 net, and larger rollouts usually up to €17,500 net. The build takes 2 to 6 weeks. At 600 cases a month of 8 minutes each, the manual work costs €2,792, and with the system €425, checking and the model included. The payback is 1.3 months.
You install OpenClaw with one command on macOS, Linux or Windows, and a wizard picks the model and starts the Gateway on port 18789. It needs Node.js 24.16+ or 26.1+. The MIT licence costs nothing, and at 300 tasks a month the server, the model and 2 hours of maintenance a week come to about €332 a month, of which a person's time is €302.
AI agents
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.
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