Attachment 3 - Technical Acceptability Matrix 11142025.xlsx
XLSX spreadsheet 12 KB Posted
- Attached to
- Data Modernization Section Support Federal contract opportunity
- Solicitation number
- 21842
- Issued by
- Federal Deposit Insurance Corporation
About this file
The document is a Technical Acceptability Matrix for an FDIC Data Modernization Support contract opportunity, detailing five key technical evaluation criteria for potential offerors. The matrix requires vendors to demonstrate specific capabilities in generative AI, AI integration, natural language processing, cloud partnerships, and FedRAMP Azure experience. Each requirement demands specific documentation, such as redacted contract pages, client letters, performance reports, or screenshots proving compliance with technical and regulatory standards.
The associated federal contract opportunity, solicitation number 21842, seeks a contractor to provide comprehensive data technology support for the FDIC, including analysis, development, deployment, and operations of emerging data technologies. The scope covers full lifecycle support for platforms like CDMA, modernization of the AlphaRex NLP solution, enterprise AI operations, and new solution development initiatives. The proposal submission deadline is December 4, 2025, with the government continuing to address vendor questions and refine solicitation details.
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Text version
Sheet1
| Attachment 1 - Technical Acceptability Matrix | |||||
| # | Requirement | Meets Requirement? (Y=Yes/N=No) | Location of where requirement is discussed in proposal. | Additional Comments | |
| 1 | Secure GneAI with Retrieval Augmented Generation (RAG) in Regulated Environment for 2+ years | ||||
| • | Did your firm deploy a secure Generative AI solution using RAG or knowledge graphs, grounded in private data, for a federal, state, local government, or HIPAA/PCI-regulated client after Nov 14, 2023? | ||||
| • | Redacted contract cover page showing: • Client name/type • Award date ≥ Nov 14, 2023 • Line item: “RAG” or “knowledge graph” or “private data grounding” | ||||
| 2 | AI Integration with Measurable Outcome and Fed Compliance |
•Did your firm integrate AI into a business process with ≥15% improvement in efficiency or accuracy and a FedRAMP or NIST 800-53 compliant deployment?
•1-page signed client letter or performance report showing: • Metric name • Before: X → After: Y (≥15% gain) • Stamp/signature and date • Phrase: “deployed under FedRAMP/NIST 800-53” 3 Production Natural Language Processing (NLP) Capabilities and Experience •Did your firm deliver a production NLP system for a government client performing at least 3 of the following: topic modeling, entity extraction, classification, summarization, clustering — on >1000 documents?
•Redacted task order or SOW page with: • Client: [Agency name] • Start date 4 Microsoft Cloud Partner – Specialist or Expert (Active) •Does your firm currently hold Specialist or Expert designation in Azure AI & Machine Learning or Data & AI?
•Screenshot from Microsoft Partner Center showing: • Specialist or Expert badge • Partner ID • Expiration date ≥ Nov 14, 2025
5 5 Consecutive Years in FedRAMP Azure •Has your firm operated solutions in FedRAMP Moderate or High Azure continuously from 2021–2025?
•1-page timeline table (signed): • Columns: Year
6 All 7 Azure Services in Government Use •Has your firm used all 7 services below in a government or regulated environment in the last 3 years?
1. Azure Databricks
2. Azure Data Lake Gen2
3. Azure Cognitive Search
4. Azure OpenAI Service
5. Secure ADF pipelines
6. Data lakehouse
7. Azure Cost Management + Policy •1-page checklist (signed) with: • 7 rows: Service
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File details come from the government source that posted it. Updated .