Reduce manual work—with AI process automation that avoids a tool graveyard
We connect your existing tools, automate entire workflows and reduce manual work by 50-80 %. Your first production automation is live in 4-8 weeks, without requiring you to overhaul your IT landscape.
What process automation means to us
Conventional RPA tools (UIPath, Power Automate) were a starting point, but often fail with unstructured data: PDFs with changing layouts, free text in emails, voice messages and mixed attachments. This is where AI process automation comes in: We combine workflow automation with AI components—language models, OCR with validation, and classification and extraction pipelines.
The result is a process that does not merely replace clicks, but understands content. Instead of ten clicks plus copy and paste, a transaction moves through the entire workflow automatically—from the incoming email to the posted transaction in the ERP.
Typical applications
Technology stack & integrations
We build with proven, production-ready components: OpenAI / Azure OpenAI / Vertex AI for language processing, n8n / Make / Zapier for workflow orchestration, custom Python/Node services for sophisticated logic, and vector stores for connecting knowledge bases. We integrate Microsoft 365, Google Workspace, DATEV, SAP, Salesforce, HubSpot, Zammad, JIRA and ERP/CRM systems via REST APIs or database connectors.
Our 4-step approach
- Process Mapping—we document the current process step by step.
- Pilot Build—we put one subprocess into production to generate insights quickly.
- Rollout—after a successful pilot, we extend automation to the complete process.
- Hypercare & Optimization—we provide intensive support during the first weeks, followed by maintenance.
What you can expect
- 50-80 % less working time per automated process
- 24/7 processing without additional peak-load costs
- An audit trail for every transaction to support compliance
- Confidence scores and human-in-the-loop review for critical decisions
Frequently asked questions
What is AI process automation?
AI process automation combines conventional workflow automation with AI components such as text recognition, classification, language processing and decision logic. It also automates processes that were previously too unstructured for pure RPA.
How long does implementation take?
Initial production automations typically take 4-8 weeks. More complex end-to-end processes take 3-6 months. We always start with a manageable pilot.
Which tools can be integrated?
Microsoft 365, Google Workspace, DATEV, SAP, Salesforce, HubSpot, Zammad, JIRA and common ERP/CRM systems. Custom systems can be connected via REST or database connectors.
Can our data remain in Germany?
Yes, if requested. We use German cloud providers and EU regions of major providers. For sensitive data, we use on-premise or private-cloud solutions.
What if the AI gets something wrong?
Every workflow has confidence thresholds. Below the threshold, a human decides. Complete logs enable audits and continuous improvement.
Which process should run automatically first?
30 minutes are enough to identify the first candidate. Free and with no obligation.