Skip to content
View expense-audit-automation-guide's full-sized avatar

Block or report expense-audit-automation-guide

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Expense Audit Automation Guide

Expense Audit Automation Guide

Production-grade Python patterns for automating expense-report auditing — receipt OCR, deterministic policy validation, anomaly detection, and reimbursement routing.

🌐 Live site: www.expense-report.org

The Expense Audit Automation Guide is a working engineering reference for finance-operations teams, accounts-payable engineers, corporate-travel platforms, and Python automation builders who want to replace manual reimbursement review with deterministic, auditable pipelines. Every guide is grounded in real, runnable code: schema-validated payloads, minor-unit money, idempotent state machines, cryptographic chain-of-custody, and explainable anomaly scoring — the patterns you actually ship, not toy snippets.

It currently spans 52 in-depth guides across four connected topic areas, each with hand-drawn architecture diagrams, copy-ready Python, configuration references, testing patterns, and operational runbooks.

What it covers

Topic area What you'll build
Core Policy Architecture & Taxonomy Design Turn reimbursement guidelines into deterministic, version-controlled rule sets — normalized taxonomies, tiered spending caps, per-diem tables, and config-as-code policy versioning.
Receipt Ingestion & OCR Data Extraction Build production capture pipelines — image preprocessing, Tesseract tuning, layout-aware pdfplumber parsing, async batch processing, and error categorization.
Automated Policy Validation & Anomaly Flagging Combine deterministic rule evaluation with explainable anomaly scoring — duplicate detection, merchant-category routing, dynamic thresholds, and mileage validation.
Reimbursement Routing & Approval Sync Close the loop after validation — approval-chain routing, idempotent ERP/GL sync, payment-batch reconciliation, and approval-SLA monitoring.

Why it's different

  • Runnable, typed Python — every code block is self-contained, type-annotated, and uses structured logging and explicit audit metadata. No pseudocode.
  • Deterministic by design — minor-unit integer money, frozen schemas, idempotency keys, and SHA-256 chained audit ledgers, so every decision is reproducible and defensible under SOX-style review.
  • Explains the hard part visually — each guide carries an original, hand-authored inline SVG diagram that adapts to light and dark themes.
  • Densely cross-linked — concepts link to the guides that own them, so you can jump laterally through a real pipeline instead of reading top-down.
  • Installable PWA — the site works offline, so the most-visited guides stay available on a plane or in a locked-down review room.

Built with

  • Eleventy (11ty) static-site generator
  • Hand-authored inline SVG diagrams, KaTeX, and a custom accessible design system (WCAG 2 AA)
  • Progressive Web App (installable, offline-capable) with a service worker
  • Deployed on Cloudflare Pages

Run it locally

npm install
npm run build      # build the static site into _site/
npm run serve      # local dev server with live reload

Contributing & feedback

Issues and suggestions are welcome — open an issue with a correction, a gap you'd like covered, or a pattern you'd like to see. If a code sample doesn't run cleanly in your environment, that's a bug worth reporting.

License

Content and code © Expense Audit Automation Guide. All rights reserved.


Explore the full guide at www.expense-report.org.

Popular repositories Loading

  1. expense-audit-automation-guide expense-audit-automation-guide Public

    Production-grade Python patterns for automating expense-report auditing — receipt OCR, deterministic policy validation, anomaly detection, and reimbursement routing. Live at www.expense-report.org

    JavaScript 1