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AI & Automation

SLM Invoice Processing Lab

An evolving experiment for invoice extraction, business validations, human review and traceability.

IN DEVELOPMENTPythonSLMValidationAutomation

Business problem

Invoice handling can involve repetitive extraction, checks and exception management. This lab explores how a smaller language model may assist with interpretation without replacing business rules or human judgment.

Proposed architecture

  1. Read an invoice document (fictional samples only).
  2. Extract source text.
  3. Use a local SLM to produce structured information.
  4. Validate required fields, totals and potential duplicates with deterministic rules.
  5. Route exceptions to human review.
  6. Record decisions and corrections for traceability.

Validation criteria

Once implemented, the lab will evaluate processing time, extraction correctness, exception rates and manual corrections. No performance results are claimed yet.

Current status

In development. Architecture, tests and results will be updated as evidence becomes available.

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