Enterprise client (NDA)
Automate the review of high-volume bilingual operational documents with an AI pipeline — cutting review cycles while preserving full auditability and a human-in-the-loop approval step for every decision.
Build
- 01
Document ingestion and structured extraction pipeline — normalising varied input formats (PDF, DOCX, scanned) into a consistent schema.
- 02
LLM-assisted classification with explainable rationale: each classification surfaces the evidence used, making reviewer override straightforward.
- 03
Side-by-side bilingual reviewer console: Arabic and English renderings displayed in parallel, with inline annotation and decision logging.
- 04
Full audit trail for every model decision — timestamps, confidence scores, reviewer actions, and override reasoning stored per document.
Outcome
Materially shorter document review cycles with zero loss of auditability — every decision traceable from model output through human review to final approval. Human reviewers shifted from reading entire documents to validating targeted extracts.