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

AI in HR: working time records and documentation

AI in HR reads working time information from managers' messages, flags gaps such as a date or an employee ID, and prepares a proposed correction of the time records. HR approves the correction, and the history keeps the original entry. At Syntalith the automation costs from €3,000 net, and with 600 time record corrections a month at 6 minutes each it pays back in 2.1 months.

AI chatbot disclosure: what Article 50 of the AI Act requires

A person starting a conversation with a chatbot has to know they are dealing with AI, at the latest at the first interaction. The transparency obligations of Article 50 of the AI Act apply and are enforced from 2 August 2026. The notice has to be visible everywhere the chatbot opens, and a handover of the conversation to an employee has to be clear.

AI and the CMR note: reading the document versus proof of delivery

Automated reading of a CMR consignment note copies the fields. It does not establish whether the delivery was made without reservations. An illegible note in the reservations box should be marked for checking, and the system must never record it as „no reservations”. „File read” must never mean „delivery confirmed”. At Syntalith the automation costs from €3,000 net, and with 1,000 documents a month it pays back in 2.0 months.

AI counterparty checks and AML duties: where they differ

AI can collect a counterparty's data from agreed sources and prepare a card for review, and checking the data does not by itself fulfil AML duties. Those apply to obliged entities, and a person makes the risk assessment and the decision. At Syntalith the automation costs from €3,000 net, and with 300 counterparty checks a month at 15 minutes each it pays back in 1.8 months.

AI in customer service: return, complaint or cancellation?

AI in customer service first identifies the type of case: withdrawal from the contract, a complaint, or a cancellation on the terms of the offer. The word „refund” is not enough. The deadlines and the reply depend on the type, and the first test runs with no automatic refusals. At Syntalith the automation costs from €3,000 net, and with 800 requests a month at 6 minutes each it pays back in 1.6 months.

Learning automation in Make: your first scenario

Start learning Make with a small process whose result you can check by hand: four fictional records, a status filter, a manual run and a retry. At Syntalith team training costs from €1,150 net a day, and with 8 people each recovering 1 hour a week it pays back in 1.0 month.

Automating cloud cost ownership reports

Automated cloud cost checks join the provider's cost data with the project register and the current service owners. The report shows old assignments, shared services and costs with no owner, and unclear cases go to people with a question. When the provider's tags lead to current people, its report for €0 is enough. Joining it with the register costs from €3,000 net.

Automating cold-chain exception administration

Temperature exception automation links an alert from a data logger to the right shipment by the time the device was assigned, attaches the cargo's temperature requirements and gathers further alerts from the same event. The quality department assesses the deviation and decides about the goods. At Syntalith the automation costs from €3,000 net, and with 300 temperature alerts a month at 12 minutes each it pays back in 2.1 months.

Automating contract review scheduling

Contract review automation starts the review as far ahead as the company sets: it asks the departments that use the service about their further needs, collects the answers with the contract and shows the coordinator the open questions before the renewal decision is due. At Syntalith the automation costs from €3,000 net, and with 60 contract reviews a month at 60 minutes each it pays back in 2.1 months.

Automating controlled procedure distribution

Instruction distribution automation sends the approved version of a document to recipients chosen by role, collects confirmations tied to that version and shows the manager who has not received it yet. Choosing recipients by rules needs no AI. At Syntalith the automation costs from €3,000 net, and with 600 instruction confirmations a month at 4 minutes each it pays back in 2.5 months.

Your customer moved warehouses. Where will the next delivery go?

When a client moves deliveries to a new warehouse, the automation copies the approved address to the delivery point in every system, leaves the billing address unchanged and lists open orders with the old location. The team decides which deliveries to change. At Syntalith the automation costs from €3,000 net, and with 120 location changes a month at 25 minutes each it pays back in 2.0 months.

Automating data quality follow-up: who will fix the record?

Data quality issue automation turns the quality report into issues assigned to the people who know the correct value and can enter it. It links a repeated error to the case already open and closes the case only after the data is checked again. At Syntalith the automation costs from €3,000 net, and at 400 data errors a month of 10 minutes each it pays back in 1.8 months.

Automating proposal attachment validation

Proposal attachment automation compares the package to be sent with the list set for this request, flags a file from another proposal or a missing document and sends the question to the author of that material. The person responsible for the proposal decides on sending. At Syntalith the automation costs from €3,000 net, and with 80 proposal packages a month at 45 minutes each it pays back in 2.1 months.

Automating purchasing limit checks

Purchasing limit automation counts the available budget pool by finance rules, including open orders. In the example, a report from purchases alone shows €38,000 left in the pool, and after open orders €17,000 remains, so a €20,000 request exceeds it by €3,000. At Syntalith the automation costs from €3,000 net, and with 200 purchase requests a month at 10 minutes each it pays back in 3.0 months.

Automating receipt matching for company cards

Receipt matching automation links photos of receipts to company card transactions by amount, date and merchant, shows gaps and unclear matches, and writes the employee a specific question. A photo sent again does not create a second expense. At Syntalith the automation costs from €3,000 net, and with 1,500 card transactions a month at 3 minutes each it pays back in 1.5 months.

Automating reviews before retiring a data feed

Before an old data source is switched off, the automation brings the dependent reports, their owners' confirmations and the migration tasks into one view. No reply does not mean no user, and the authorised team switches the source off after the decision. At Syntalith the automation costs from €3,000 net, and with 60 dependent reports a month at 45 minutes each it pays back in 2.4 months.

Automating service account profitability reports

Service client profitability automation joins revenue with the recorded work of the delivery team and post-project support, values that work by finance rules and shows which clients are missing data. The manager draws the conclusions about the scope of the relationship. At Syntalith the automation costs from €3,000 net, and with 30 client reports a month at 180 minutes each it pays back in 1.4 months.

Automating software license utilization reporting

Before a licence renewal, IT joins the list of assigned accounts with activity reports. The vendor's report is often enough if the company has one environment. Automation makes sense with several vendors, different identifiers and talks with managers about their needs. Each unused seat at $25 costs about €22 a month, so 20 such seats cost €446.

Automating supplier bank detail change reviews

Supplier bank detail change automation takes a request for a new account through the company's rules: independent confirmation by another channel, a decision by an authorised person and the change in the supplier record. A correct-looking account number does not prove the supplier really asked for the change. At Syntalith the automation costs from €3,000 net, and at 100 supplier data changes a month of 30 minutes each it pays back in 2.6 months.

Calculating exception-handling costs in automation

The cost of exceptions is people's work on the cases an automation did not finish by itself: filling in data, retrying and checking the result. You count it per case, with all of its runs together. At 3,000 orders a month and 15% exceptions at 10 minutes each, that is 75 hours. A completeness check that lowers the share to 5% pays back in 1.7 months at a price of €3,000.

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.

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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.