AI-assisted enterprise architecture analysis

For a large organisation with high security and traceability demands, enterprise architecture knowledge lived in thousands of pages of frameworks, reference models and architecture descriptions. Checking how an architecture aligned with its reference frameworks meant architects tracing coverage, overlaps and gaps by hand, taking weeks per assessment.

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We built a platform that turns the documentation into a knowledge graph structured by the client's own architecture model. Architects ask questions in plain language and get answers grounded in the graph, with full source attribution. The platform also compares a target architecture against the reference material, produces structured gap analyses and exports results straight into standard architecture tools.

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For a large organisation with high security and traceability demands, enterprise architecture knowledge lived in thousands of pages of frameworks, reference models and architecture descriptions. Checking how an architecture aligned with its reference frameworks meant architects tracing coverage, overlaps and gaps by hand, taking weeks per assessment.

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We built a platform that turns the documentation into a knowledge graph structured by the client's own architecture model. Architects ask questions in plain language and get answers grounded in the graph, with full source attribution. The platform also compares a target architecture against the reference material, produces structured gap analyses and exports results straight into standard architecture tools.

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Value for the client:

  • Architecture assessments in hours instead of weeks
  • Coverage, overlaps and gaps reported with full source attribution
  • Findings that fit existing architecture tools, with no remodelling
  • Able to run entirely on local open-source models for sensitive environments

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