Alteryx and BigQuery demonstrate a controlled invoice-exception pipeline
Google Cloud and Alteryx describe a browser-built invoice workflow that stages PDFs in Cloud Storage, extracts fields with Gemini or Document AI, and matches them against governed BigQuery records. Alteryx Live Query orchestrates the steps while SQL pushdown keeps transformations inside the warehouse. The example targets duplicates, mismatched amounts, and traceable exception handling.
Alteryx and BigQuery demonstrate a controlled invoice-exception pipeline
Focus: Applied Generative AI for Knowledge Workers Date: October 9, 2026 Topics: Document extraction, Invoice reconciliation, Warehouse governance Evidence: Publisher Authored Availability: Available
Summary: Google Cloud and Alteryx describe a browser-built invoice workflow that stages PDFs in Cloud Storage, extracts fields with Gemini or Document AI, and matches them against governed BigQuery records. Alteryx Live Query orchestrates the steps while SQL pushdown keeps transformations inside the warehouse. The example targets duplicates, mismatched amounts, and traceable exception handling.
Why it matters: Finance teams can prototype document automation without surrendering validation to a language model. Define required invoice fields, reconcile against trusted records, route uncertain matches for review, and measure exception rates and audit completeness before permitting an automatic posting step.
