Who it's for
Organizations with vast internal knowledge bases (wikis, PDFs, docs) that require a secure, hallucination-free way to query private data without leaking IP to public models.
Sales Lifecycle
Discovery: identify data silos (S3, SharePoint, Confluence) and define query personas.
POC: single-source RAG implementation focusing on retrieval accuracy and citation logic
Pilot: internal departmental rollout to test prompt performance and user feedback loops.
Scale: enterprise-wide deployment with cross-departmental RBAC and cost monitoring.
Success Matrices
-
Hallucination rate
↓ < 2% with citations
-
Query response time
< 3s SLOs met
- Knowledge discovery MTTR reduction
- Guardrail & PII filtration monitoring
Prerequisites
Deliverables
- RAG orchestration pipelines (code + IaC)
- Semantic search & vector database setup
- Customized Bedrock Guardrails (Safety/PII)
- Conversational UI or API integration layer