Automation Playbooks for Finance Teams
Long-form, practical guides on finance workflow automation, Power Automate, Python, Streamlit, Excel, AI invoice processing, and reconciliation — written from the trenches of 8+ years building automation systems for finance and operations teams. No fluff. No "5 reasons why automation is important." Just the technical detail and decision frameworks you actually need.
Recent Articles
How to Automate Invoice Processing End-to-End in 2026
A complete playbook on building a touchless AP pipeline — from email ingestion through AI extraction, 3-way matching, approval routing, and ERP posting. Includes architecture diagrams, AI model benchmarks (Claude API vs GPT-4 Vision vs Azure Document Intelligence), and cost math vs packaged tools like Bill.com and Tipalia.
Power Automate AI Builder Invoice Processing — Complete Guide
Step-by-step guide to automating invoice processing with Power Automate and AI Builder: form recognition, PDF extraction, approval flows, and SharePoint integration.
Automated Bank Reconciliation with Python — Step-by-Step Guide
Build an automated bank reconciliation script in Python using pandas: load statements, fuzzy-match transactions, flag exceptions, and export audit-ready output.
Finance Workflow Automation Examples — Real Implementations
Six real-world finance automation examples: invoice processing, bank reconciliation, month-end close, AR aging, intercompany matching, and automated reporting pipelines.
AI Invoice Extraction with Claude API: A Complete Guide
Working code, prompts, and accuracy benchmarks for building an invoice extraction pipeline with the Claude API. Includes batch processing, structured output, and validation patterns.
Python Invoice OCR — Extract Data from PDF Invoices Automatically
Complete Python guide to invoice data extraction: pdfplumber for text-layer PDFs, pytesseract for scanned invoices, and pandas to structure the output into spreadsheets.
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