# AI Document Intelligence for Policy & Human Rights Reports in Africa
**Production‑grade, agentic document intelligence pipeline built for civic accountability.**
Ingest heterogeneous civic documents (scanned audits, policy briefs, human rights reports) and emit **structured, queryable, explainable, and verifiable knowledge** – with full audit trails, multilingual support, and responsible AI guardrails.
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## The Problem: Evidence Trapped in Documents
Across Africa, Human Rights Defender (HRD) organisations, investigative journalists, and policy analysts rely on thousands of PDFs – **government audits, budget reports, legal proclamations, NGO reports, and scanned archives**. This institutional knowledge is **locked in unstructured formats** that:
- Cannot be searched efficiently,
- Cannot be queried across documents,
- Cannot provide trustworthy citations for advocacy or legal use.
Traditional OCR destroys tables and multi‑column layouts. Large Language Models hallucinate when fed raw document dumps. The result: **slow, unverifiable, and expensive manual analysis** – a bottleneck for transparency and accountability.
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## My Solution: The Document Intelligence Refinery
We built a **5‑stage agentic pipeline** that acts as a forward‑deployed AI engineer for civic organisations.
It turns **any PDF** (digital, scanned, multilingual, table‑heavy) into:
- Structured JSON with exact page, section, and bounding‑box provenance
- A navigable “smart table of contents” (PageIndex) for instant document traversal
- A RAG‑ready vector store with semantic chunks that preserve tables, clauses, and evidence links
- A SQL‑queryable fact database for automatic budget/expenditure comparison
- An **audit‑mode** that can verify any claim against the original documents
Every answer is **traceable to the exact source pixel** – making AI usable for journalism, human rights reporting, and policy analysis.
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## Architecture
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## Key Features
### Multi‑Strategy …