What happens when AI actually works.

Three enterprise deployments, with the numbers they produced. Client names are kept private.

A multi-agent assistant for 3,000 employees

The problem

With more than 3,000 employees, the company needed faster onboarding and easier access to company knowledge across departments, without adding to HR and IT workload.

What we built

An AI platform inside Microsoft Teams, using multi-agent orchestration to handle onboarding, knowledge sharing and task management, with full German language support.

Results

  • €220,000+ saved a year through faster document search
  • 30% of the workforce using it within the first rollout
  • 5,000+ documents, policies and processes searchable
  • HR and IT questions handled automatically
  • 150 predefined Q&As and 780 conversational responses
Microsoft AzureGenerative AIMulti-agent orchestrationMicrosoft TeamsCevian AI

Intelligent document processing

The problem

Manual document review and data extraction were slow and error-prone, and they created bottlenecks in critical financial operations, adding compliance risk and cost.

What we built

An AI system combining computer vision, OCR and machine learning to analyse documents, extract data and validate it automatically at enterprise scale.

Results

  • $100K saved
  • 95% accuracy in automated data extraction
  • 80% less time spent processing documents
  • No human error in document review
  • Simpler compliance and audit processes
Computer visionOCRDocument AIMachine learningProcess automation

An enterprise AI platform for business users

The problem

The company had invested heavily in generative AI and had a central LLM platform, but no environment for building and deploying AI use cases, so the capability never reached the business.

What we built

A multi-agent platform with a simple interface, feedback collection and a prompt library, so new AI agents could be added as requirements came up.

Results

  • $75K saved
  • 85% less manual review time for medical file validation
  • 20+ AI agents delivered so far
  • Business users work with AI directly, with no IT dependency
  • Delivered by a single architect
Multi-agent architectureStreamlitGenerative AIRAGAWSCevian AI

Every one of these started with a call.

Tell us about the problem. We'll tell you honestly whether we can move the numbers.

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