Procuring enterprise generative AI software requires rigorous architectural, security, and performance specifications. We provide a **production-tested AI Request for Proposal (RFP) template** used by CTOs, VPs of Engineering, and procurement leaders to evaluate AI vendors.
1. Scope of Work Specification Checklist
Core Requirements Matrix
- Functional Target: Autonomous Agent Workflow / Enterprise Document RAG / Multimodal SaaS MVP.
- Source Ingestion: Unstructured PDFs, Confluence, PostgreSQL, Snowflake, Zendesk ticketing.
- Vector Indexing: Pinecone Serverless / Qdrant On-Prem with hybrid dense-sparse BM25 indexing.
- Target Latency: p95 response generation under 2.5 seconds with streaming SSE protocol.
- Accuracy & Grounding: Strict citation requirement with Cohere cross-encoder reranking (98%+ precision).
2. Security, Compliance & Data Sovereignty Standards
Mandatory Vendor Compliance
- Data Retention: Zero data retention policies (ZDR) with LLM inference providers.
- Authentication: SSO (SAML / Okta / Azure AD) with fine-grained Role-Based Access Control (RBAC).
- Guardrails: Input/Output guardrails for PII redaction and prompt-injection defense (Llama Guard / NeMo).
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