Process measurement
We select the process and measure its current state: how many hours, how many errors, how much waiting. This becomes the baseline for comparison.
We automate what repeats: invoices, orders, reports, contract reviews. Claude reads, extracts and prepares, a person approves, and the process runs without waiting and without retyping.
Built for ISO 27001NIS2 DORA
Classic automation stops where free text has to be read: an email, an invoice, a contract, a review. Language models now take over exactly those points, so a process can be automated end to end, from the received document to the entry in the system, with human approval where it adds value.
With Claude we automate processes through API calls from your systems or n8n / Power Automate flows, with structured (JSON) responses. Every automated process has measurement (how much time is saved, how many errors), an exception path (what happens when the model is not confident) and a responsible person. We start with the process that hurts most and show the result in numbers.
The scenarios we implement most often with Claude. Each one starts with a single process and is measured.
From the first conversation to a working solution, with measurement and ongoing support.
We select the process and measure its current state: how many hours, how many errors, how much waiting. This becomes the baseline for comparison.
We design the automated flow: where the model reads and extracts, where the system writes, where a person approves and where uncertain cases go.
We build the flow with API calls from your systems or n8n / Power Automate flows, with structured (JSON) responses, test with last month's documents and compare the result with what people did.
We launch with support and after a month deliver a report: hours saved, error counts, share of exceptions. Then we move on to the next process.
It will, which is why every flow has an exception path: when the model is unsure or the data does not match, the case goes to a person. We measure accuracy and show it to you.
Through the Anthropic API or Amazon Bedrock in an EU region (Frankfurt), with your keys and logs. On commercial plans and through the API, your data is not used to train models; with Amazon Bedrock the model can run in an EU region, and access keys and logs stay under your control.
With the process that repeats most often and hurts most, usually invoices or orders. We show the first result within a month.
You pay by usage (API) or per user (Claude Team / Enterprise); we help choose the cheapest combination for your workload. We give the automation price after the process measurement, together with the expected return.
An agent is not a chat window but a coworker without hands: it receives a task, gathers data from your systems, takes action and reports back.
AI is most useful not in a separate window but in your systems: ERP, CRM, helpdesk, document management.
An assistant that knows your policies, price lists and contracts, not the internet.
This service is delivered by specialists with valid international certifications. Their expertise is confirmed by independent organisations, not by us.
AI systems are deployed with protection against data leakage and model abuse.
AI risks are identified and managed like any other IT risk.
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