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Read more about the article Designing a Construction Dispute Intelligence Platform That Survives Cross-Examination

Designing a Construction Dispute Intelligence Platform That Survives Cross-Examination

  • Post category:Construction Technology/Data Engineering/Technical Guides

A layer-by-layer architecture for a construction dispute intelligence platform: hashed intake and immutable originals, OCR with page coordinates, a versioned Primavera P6 schedule plane, an event model that joins documents to activities, hybrid retrieval on pgvector, and a generation layer bounded by human confirmation. Written around what each layer prevents.

Continue ReadingDesigning a Construction Dispute Intelligence Platform That Survives Cross-Examination
Read more about the article Building an AI Construction Claims Platform on AWS That Holds Up Under Scrutiny

Building an AI Construction Claims Platform on AWS That Holds Up Under Scrutiny

  • Post category:Case Studies/Cloud Computing/Technical Guides

Semantic search finds the most persuasive document, not the earliest one. Here is how to architect an AI construction claims and dispute intelligence platform on AWS so retrieval respects the contractual clock, schedule data stays out of the vector index, every answer resolves to a page, and privileged material never shares a retrieval path with project records.

Continue ReadingBuilding an AI Construction Claims Platform on AWS That Holds Up Under Scrutiny

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