Enterprise document automation · Document platform

Multicloud multi-agent system for complex document generation

The problem

Producing tenders, proposals and complex technical documentation ran on cycles of around 2 months: multiple review rounds and heavy manual coordination between technical, sales and compliance teams.

And the output came out different depending on who did it.

The architecture

Specialised agents coordinated Agent-to-Agent across several cloud providers, routing between 7 or more models by cost, quality and availability.

It takes up to 10 files and 200 MB per case, and covers document ingestion, source prioritisation, contextual retrieval and specialised generation, with concurrency and streaming in the operational interface.

Impact

  • From cycles of around 2 months down to 4 days, subject to the internal review process
  • First draft reusable at around 85%
  • Routing across 7 or more models by cost, quality and availability
  • Compliance controls over a set of 101 tests

Stack

  • Multi-Agent
  • A2A
  • Multicloud
  • Azure AI Foundry
  • Python
  • Streaming