Automations & AI
Simple stacks that deliver from day one and keep delivering for years. No pilot graveyards. Just processes that work.
How we work
The process decides whether the answer is an automation, an AI step, a custom tool, or a rewritten checklist and no software at all. We map the work first, then choose the simplest thing that holds up under load.
A process that is not understood gets automated badly. We take it apart with the people who run it, remove waste and only then build.
n8n, Make, Airtable and the AI model that fits the task. Few moving parts, documented, monitored, and understandable by your own team.
Every workflow is built together with the people who will run it. No handover at the end, because there is nothing to hand over.
What we automate
Frequent, rule-based and document-heavy processes are the best candidates. These are the ones we see most often in the Mittelstand.
Incoming invoices, bank statements and official letters classified, extracted and routed to the right system and person.
Requests turned into quotes, orders captured into the ERP, confirmations sent, without retyping anything.
Weekly and monthly numbers pulled from the systems, checked and delivered as a dashboard or a short written summary.
Shared inboxes triaged, standard replies drafted for review, tickets created where they belong.
Accounts, equipment, documents and checklists created from one trigger instead of twelve emails.
ERP, CRM, ticketing and accounting connected via API so data is entered once and lives everywhere it is needed.
The stack
We choose the technology to fit the process, not the other way round. Everything is licensed to you, documented and operable without us.
n8n or Make as the hub that connects your systems. Self-hosted on your infrastructure when the data requires it.
Claude, OpenAI or Gemini for reading, classifying and drafting. Local models on your own hardware for sensitive data.
Airtable or Supabase as the working database, connected to your ERP, CRM and accounting via API.
Every workflow has an owner, an error path and a one-page runbook. Nothing runs that nobody understands.
A real-estate portfolio manager received invoices, bank statements and official letters for dozens of properties every day. Deadlines slipped, data was typed twice, nobody had an overview.
We built an AI-supported document pipeline: incoming files are classified, read with OCR, matched to the property and routed to accounting and property management. More than 700 documents a month, return on investment in two and a half months.
Read the case45 minutes, free. Bring one process, we tell you whether it is worth automating and what it would take.
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