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AI · Document Automation

Enterprise client (NDA)

Automate the review of high-volume bilingual operational documents through an AI workflow that reduces review time while preserving auditability and human approval.

LLM
Explainable AI classification
2
Languages processed in parallel
100%
Decision auditability
HITL
Human-in-the-loop preserved
01

What we built

  1. 01

    Document ingestion and structured extraction pipeline — normalising varied input formats (PDF, DOCX, scanned) into a consistent schema.

  2. 02

    LLM-assisted classification with explainable rationale: each classification surfaces the evidence used, making reviewer override straightforward.

  3. 03

    Side-by-side bilingual reviewer console: Arabic and English renderings displayed in parallel, with inline annotation and decision logging.

  4. 04

    Full audit trail for every model decision — timestamps, confidence scores, reviewer actions, and override reasoning stored per document.

02

Outcome

Shorter review cycles without sacrificing auditability, with every decision traceable from model output through human review to final approval.