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01.3 / Services / AI Integration

LLM Document Extraction & AI Integration

Language models wired into real workflows, with measured accuracy instead of demos.

Approach

How we work on it.

  • Document extraction pipelines that turn PDFs into validated, schema-checked records a human confirms in seconds.
  • Every pipeline ships with an evaluation harness: ground truth sampled from production, per-field accuracy, and cost per document.
  • If a model cannot beat the manual process on both accuracy and cost, we say so rather than ship it.

Stack

  • Claude API
  • Zod schemas
  • Eval harnesses
  • RAG
  • OCR

Related work

Where this has run in production.

01 / Workstream

Document Intelligence Pipeline

Design, build, benchmark

Compliance documents arrived as PDFs and were read by hand. The pipeline extracts them into a validated schema, so an administrator confirms a pre-filled form instead of reading the file.

  • TypeScript
  • Claude API
  • Zod
  • PostgreSQL
  • S3

Other practices

Rarely just one thing.

Discuss AI Integration