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AI-Enabled Document Processing Modernization
General Services Administration — Federal Acquisition Service · Due Sep 5, 2026 5:00 PM ET · Fit 92
Extracted requirements (AI, per-item confidence)
R-001§C.3.1Technicalstrong match97%
Provide AI-based document intake, classification, and routing for a minimum of 500,000 pages per month.
R-002§C.3.2Technicalstrong match95%
Extract structured data fields with ≥95% accuracy, with human-in-the-loop verification for low-confidence extractions.
R-003§C.3.4Technicalstrong match93%
Integrate with existing FedRAMP-authorized cloud environment (AWS GovCloud preferred).
R-004§C.4.1Compliancepartial match91%
Provide Section 508-compliant user interfaces for all reviewer-facing tools.
R-005§L.5.2Instructioninstruction98%
Technical proposal shall not exceed 25 pages, excluding past performance attachments.
R-006§M.2Evaluationinstruction96%
Evaluation: Technical Approach (40%), Past Performance (30%), Price (30%).
R-007§H.8Staffinggap match89%
Key personnel: certified PM and lead ML engineer with 5+ years federal experience.
Compliance matrix
| R-001 | Covered | Capability: AI document processing (core) |
| R-002 | Covered | Platform pattern: confidence-gated human review |
| R-003 | Covered | AWS-native architecture, Well-Architected aligned |
| R-004 | Partial | 508 audit planned; VPAT not yet published |
| R-007 | Gap | No federal-cleared PM on staff — teaming candidate identified |
3 covered · 1 partial · 1 gap → gap feeds the Team module for partner matching.