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The tag view groups articles by a concrete operational problem or implementation type, without exposing hundreds of raw frontmatter labels.

One subscription, several departments: dividing the cost

Automating the split of subscription costs links invoice lines to account and department data under approved rules, and keeps the shared fee apart for a decision. With a few fixed subscriptions a spreadsheet or the allocation in your accounting system is enough. At Syntalith the automation costs from €3,000 net and at 400 lines a month pays back in 2.5 months.

The technician's availability changed. The planner missed it.

Availability automation collects technicians' notices about exceptions to their regular rota, from a form or a message, and shows them to the planner when visits are assigned. An unclear notice, for example one with no date, goes back to the employee with a question. At Syntalith the automation costs from €3,000 net, and with 400 availability notices a month at 5 minutes each it pays back in 3.4 months.

Catch product data errors before a Merchant Center upload

An automated comparison of the supplier's file with the Allegro listings file, by variant code, shows differences before a listing goes on sale: another colour, another size or an empty required field. The employee sees both values and the source, and approves the fix. At Syntalith the automation costs from €3,000 net, and with 2,000 listings a month at 3 minutes each it pays back in 1.0 month.

Automating supplier price list checks

Automated price list checks compare a supplier's new list with the approved version and the item map before import into your system. The buyer sees a change of unit, minimum quantity or validity date, and lines that need a decision go to a separate queue. At Syntalith the system costs from €3,000 net and at 3,000 lines a month pays back in 2.0 months.

Automating supplier rebate reconciliation

Automated reconciliation of retrospective rebates counts, by approved rules, how much rebate is due for the period, compares the result with the supplier's statement and shows the difference with the source documents. The finance team approves the result. At Syntalith the automation costs from €3,000 net, and with 30 rebate settlements a month at 120 minutes each it pays back in 2.1 months.

Runtime comparison: how the workflow works

You move an agent to a new environment after comparing it on a golden set: the same inputs, the expected decisions and a process owner's decision on every difference. In our demonstrator the set holds 336 behaviours, and 7 unresolved differences block the switch. A full run of the set costs about €0.76.

AI usage register: how the workflow works

An AI system register is a list of the systems in use, with an owner, the company's role, the risk status and the missing documentation. The register's rules run before the model, and a person approves the risk classification. The transparency obligations in Article 50 of the AI Act apply from 2 August 2026. At Syntalith the application costs from €3,000 net. At 40 register entries a month of 90 minutes each, it pays back in 2.0 months.

Field-work documentation: how the workflow works

When a photo, a voice note and a job card from one call-out give different data, the AI system keeps each file separately, shows the conflicting values side by side and blocks closing the case until a coordinator decides. A convenient summary must not erase the difference between sources. At Syntalith the app costs from €3,000 net, and with 300 field call-outs a month at 15 minutes each it pays back in 1.6 months.

Document intake that keeps its place: how the workflow works

An agent that assembles a client file saves the state of the case after each arrival: documents received, gaps, conflicts and the decisions it is waiting for. When a corrected file arrives a week later, it resumes from the right step. Accepting the client stays with a person. At Syntalith an agent costs from €3,000 net. At 300 files a month, it pays back in 1.2 months.

Project kickoff decisions: how the workflow works

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.

Invoice coding with context: how the workflow works

AI invoice coding proposes an account and a cost centre only when it has a basis: an earlier entry for the same supplier and the same type of cost, or an order. An invoice without a basis goes to the accountant, who makes the decision. At Syntalith the automation costs from €3,000 net, and at 1,000 cost invoices a month of 3 minutes each it pays back in 2.3 months.

Transport documents ready for review: how the workflow works

A legibility gate measures the brightness, contrast and sharpness of a photo of a transport document before it is read. When the image is unfit, the system records that no reading was attempted and asks for a new shot, in place of returning a full set of fields of unknown reliability. In our demonstrator, 5 of 7 image variants were stopped without calling the model. At Syntalith document reading automation costs from €3,000 net and pays back in 2.0 months.

Reports with inspectable numbers: how the workflow works

A management report written with AI holds no made-up numbers when the figures and the commentary are kept apart. Every amount has an ID and an approved source, and the release check rejects any value outside that set. A conflict between sources stays visible until the controller decides. At Syntalith an automation costs from €3,000 net. At 12 reports a month of 240 minutes each, it pays back in 2.4 months.

ERP Order Entry: When n8n Is Enough

You turn an order written in the customer's words into item codes and quantities with rules: matching to the catalogue, converting units and deciding on substitutes. Unclear lines go to an operator. An agent is needed only when the agreed path is not enough. At Syntalith an automation costs from €3,000 net, and with 1,000 orders a month at 6 minutes each it pays back in 1.1 months.

Permission before action: how the workflow works

An AI agent's access to a tool should not mean the right to every operation. A separate policy layer checks the identity, the resource and the context before each call and returns allow, deny or a requirement for a second approval, with a record of the rule applied. At Syntalith an agent costs from €3,000 net, and with 2,000 agent actions a month at 3 minutes each it pays back in 1.1 months.

Questions with visible SQL: how the workflow works

Asking a database questions with AI makes sense when the definition of the measure and the SQL query that ran are visible under the result. In our demonstrator the system reads only four approved views with an account that cannot write, and a question costs $0.004400. At Syntalith the application costs from €3,000 net. At 300 data questions a month of 15 minutes each, it pays back in 1.5 months.

Receivables review: how the workflow works

For a payment reminder, one model writes a draft by the company's communication rules, and a second with the opposite goal looks for threats, pressure and promises nobody made. Rules hold back disputed cases, and the operator sees the draft with the check result and decides alone whether to send it. At Syntalith the automation costs from €3,000 net, and at 300 reminders a month of 8 minutes each it pays back in 3.1 months.

What a running AI agent actually costs

A running AI agent has a build cost from €3,000 net and a monthly bill for its work. The model is often the smallest item: at 1,500 cases with 3 calls each on Claude Sonnet 5.5 it costs about €48 a month. People's time for checking and exceptions, servers, action logs and maintenance cost more.

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.

AI automations

This process can run itself. We check the scope with you before you pay for the build.

We look at where the work stops and who has to fix it, then compare the improvement with the cost of building and running it. You get the fixed price before you sign.

Price
from €3,000 netper process
Time
2–6 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.

See AI automations

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.