AI-powered Automation with Azure AI Foundry & n8n
Complete automation of document-based business processes through AI-supported workflows – from data extraction to decision support.
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- Company size
- Enterprise
- Region
- DACH
- Industry
- Marketing & Advertising
- Project duration
- 6 months
from hours to minutes through AI-powered extraction and classification
workflows process incoming documents without manual intervention
The challenge
Our client processed hundreds of incoming documents daily: invoices, contracts, and inquiries manually across various systems. Employees spent a significant portion of their working hours reading, classifying, and routing information. The goal: An intelligent automation platform that independently understands documents, extracts relevant data, and triggers the appropriate follow-up processes – without needing to replace existing systems.
Inside the rollout
We designed and implemented a modular AI automation platform based on Azure AI Foundry and n8n. Azure OpenAI Service handles the semantic analysis of incoming documents: classification by type, extraction of structured data, and context-based summaries. n8n functions as the central orchestration layer. Incoming documents from email, SharePoint, or upload portals are automatically captured, routed through the AI pipeline, and the results are forwarded to the respective target systems – ERP, CRM, or Microsoft Teams. Every workflow is visually traceable and customizable without developer knowledge.
Integration with Entra ID and Conditional Access ensures that only authorized applications and users access the AI services. All models run in the client's Azure region – complete data sovereignty, GDPR compliant. The result: 80% less manual processing time, a scalable platform for further AI use cases, and a system that the business department can independently expand with new workflows.
„The greatest leverage of AI is not in chat — but in processes that run without human intervention.“
Results at a glance
- Time savings in document processing
- 80 %
- from hours to minutes through AI-powered extraction and classification
- Automated operation
- 24 h/day
- workflows process incoming documents without manual intervention
- Data sovereignty
- 100 %
- all models in the client's Azure region, GDPR compliant
80% time savings & 24/7 automation
Learnings
- AI-powered document processing does not require replacing systems: ERP, CRM, and Teams remain in place — the orchestration layer connects them.
- Visual workflows in n8n lower the barrier: the business department extends processes independently, without waiting for developers.
- Data sovereignty is an architecture decision: all models run in the client's Azure region — GDPR compliance by design instead of retroactive review.
- Scaling comes from modularity: the platform carries further AI use cases without the architecture having to be rethought.
What's next
The platform is designed as a starting point, not an end state: the business department extends the workflows with new processes independently, without development effort. Further document-based use cases can be connected via the existing AI pipeline — from additional inbound channels to new target systems. The modular architecture on Azure AI Foundry also allows adopting new model generations as soon as they bring a measurable advantage for the use cases.
Service: AI & Custom Development
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