QASP-Att-1-PRS Draft.xlsx

This is a Quality Assurance Surveillance Plan (QASP) attachment that outlines performance objectives, deliverables, and acceptable quality levels for an AI-driven patent search platform being delivered to the United States Patent and Trademark Office (USPTO). The QASP establishes six primary performance objectives: (1) Project Management & Transition, requiring 95% on-time deliverable submission with minimal revisions and 100% key personnel retention; (2) System Availability & Performance, mandating 99.9% monthly uptime and 95% compliance with sub-second response time targets with zero downtime during USPTO Quiet Periods; (3) Security, Privacy & AI Compliance, requiring 100% FedRAMP continuous monitoring compliance, immediate session data deletion, and zero critical open POA&M items past due; (4) SaaS Customization & Deployment, demanding full portal functionality at User Acceptance Testing with Okta-integrated authentication and automated redaction of confidential data; (5) Database Aggregation & Search Accuracy, requiring weekly updates of databases from 64+ patent authorities with no authority more than seven days out of date and AI search tools returning relevant results per established baselines; and (6) Training (Train-the-Trainer), requiring 508-compliant training materials and greater than 85% positive satisfaction ratings from super-users.

Surveillance methods include inspection by the Contracting Officer's Representative (COR), automated system monitoring, review of monthly reports and update logs, User Acceptance Testing sign-off, spot-checks of security documentation, and post-training survey analysis. The contract vehicle for this effort under Solicitation Number ACQ-27-0033 involves a pre-solicitation for an AI-driven image search tool within the Department of Commerce's USPTO, with performance incentives and disincentives tied to achievement of the specified quality levels across all deliverables.