The SLO Motion, Fast Report team developed a desktop application for Sonoma State that automates first-pass accessibility review of vendor VPAT documents during software procurement, transforming tedious manual reviews into consistent, evidence-based decisions. The solution is built using Python with a hexagonal architecture where a pure core domain layer handles all scoring and policy logic without dependencies, surrounded by adapter layers for document extraction, parsing, and report generation. When a procurement reviewer drops a vendor VPAT document into the application, format-specific adapters read PDF, Word DOCX, or plain text files to extract tables and text, and a parsing layer identifies the product name, dates, and every WCAG accessibility criterion row with the vendor’s conformance claim without inventing statuses when they cannot be clearly read. The scoring engine calculates a compliance percentage by dividing fully supported Level A and AA criteria by total applicable criteria, identifies specific accessibility barriers, and assesses impact level based on four reviewer-provided answers about user count, deployment scope, legal exposure, and access limitations. The verdict—Good to Go, Minor Issue, Needs Manual Review, Need TAAP, or Deny—is generated by Amazon Bedrock (managed generative AI) using Claude models with a structured rubric, with strict validation that rejects ambiguous responses and falls back to deterministic built-in rules when the AI is unavailable, ensuring a report is always produced. The application generates a branded PDF report with the verdict, compliance score, plain-language explanations of each barrier from a WCAG reference dictionary, and supporting evidence, while appending an audit log entry recording the verdict source, document fingerprint, and report path. The solution runs as a packaged Windows or macOS application with all processing happening locally, sending only parsed VPAT contents to Amazon Bedrock for verdict generation, providing Sonoma State and other CSU campuses with faster, more consistent accessibility reviews that reduce manual review time while ensuring procurement decisions are grounded in documented evidence.