Build Invoice Automation Workflow with AI Agents | Astera ReportMiner

This video walks through how an AI agent inside Astera ReportMiner builds a complete invoice automation pipeline from a single requirements file, with no manual template design and no hand-built dataflow. Starting from a requirements.md file that defines the source documents, target database schema, and transformation rules (currency formatting, date standardization), the agent: - Reads sample invoices and builds an extraction template automatically, mapping company name, invoice number, quantity, unit, and amount across differently laid-out invoices - Builds the extraction dataflow: mapping objects, applying the transformation rules, adding lookup tables, and writing the output into a transactional database - Builds a companion automation workflow that watches a folder for new invoices, runs the extraction pipeline automatically, and sends an email on success or a notification on failure - Gets scheduled to run unattended, so every new invoice that lands in the folder is extracted, validated, and loaded without manual intervention At each stage, a human reviews the agent's plan before it proceeds, so the pipeline gets built quickly without anything running unreviewed. LEARN MORE Astera ReportMiner: https://www.astera.com/products/report-miner Invoice Data Extraction: https://www.astera.com/type/blog/invoice-data-extraction Text Converter documentation: https://documentation.astera.com/dataflows/sources/text-converter LLM Generate documentation: https://documentation.astera.com/astera-intelligence/llm-generate #AIAgents #InvoiceAutomation #AsteraReportMiner #InvoiceExtraction