The Scenario
A mid-sized logistics firm processes 2,000 invoices per month manually. Invoices arrive as PDFs in an email inbox. The CFO wants a fully automated, reliable pipeline that retrieves the emails, extracts the PDFs, runs them through an OCR/LLM step to extract structured data, validates the extracted totals against database records, and updates the ERP system, handling OCR errors gracefully.
The Brief
Design an end-to-end automated enterprise workflow. You must define the trigger, PDF extraction, LLM-based structured data extraction, double-entry validation logic, custom webhook endpoints, and a comprehensive retry/error mitigation architecture for high-compliance auditing.
Deliverables
- Detailed architecture diagram of the automated pipeline (including Webhooks, OCR/LLM API, and ERP Database).
- System and user prompts for extraction, specifying schema, constraints, and confidence score outputs.
- A comprehensive exception-handling playbook: handling OCR transcription errors, tax/total mismatch (validation rules), and API downtime (retry strategy with exponential backoff).
- Data security and compliance plan (protecting personally identifiable information (PII) and financial details in transit and rest).
- Sandbox testing plan to run parallel dry-runs before decommissioning the manual process.
Submission Guidance
Create a comprehensive, production-grade PDF processing architecture document in Markdown. Frame your design around enterprise security, data compliance, and operational robustness.
Submit Your Work
Your submission is graded against the rubric on the right. If you pass, you get a public Badge URL you can share on LinkedIn. There is no draft save, so work offline first and paste your finished response here.