The problem it solves
Every company has a list of tasks that follow a pattern and still get done by hand: sorting incoming email, re-typing data from one system into another, chasing the same report together every Monday. None of it is hard, all of it is repetitive, and all of it competes for the same hours as the work that actually needs a person's judgment.
An AI automation layer takes over the pattern-following part, connected to the systems you already run, with a person checking the exceptions instead of doing the whole task by hand.
How it works
The system reads the incoming item (an email, a document, a form), decides what it means, and takes the next step in your existing tools: files it, replies, updates a record, or flags it for a person when it is genuinely unclear. Built on the workflow platform that fits the job, whether that is a fast, maintainable setup on n8n or Make, or a fully custom build when the case calls for it.
Typical starting points: triaging and drafting replies to incoming email, extracting data from invoices and documents into your accounting or ERP system, generating recurring reports automatically, and a single internal AI assistant your team can ask instead of hunting through five different tools.
For technical teams
Integration-first: the value is in connecting cleanly to the CRM, ERP, email and document systems you already run, not in the specific model behind the automation. Every workflow has a defined exception path so uncertain cases go to a person rather than being force-processed. Data and processing stay in the EU. Built to hand over, not to lock you in: documented, and owned by you once delivered.