Case Study β€’ outcomes-focused

RAG Policy Assistant with Citations

Reliable policy answers grounded in internal documentation with evaluation and guardrails.

RAG Policy Assistant with Citations

Reliable policy answers grounded in internal documentation with evaluation and guardrails.

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🎯 Problem

What was happening

Policy questions were answered inconsistently, and search was slow. Hallucinations and missing context were risks.

SaaS / Enterprise4–6 weeksBuild + rollout
βœ… Outcome

What changed

  • Faster policy lookups and fewer escalations
  • Citations and source links improved trust and auditing
  • Regression evals kept quality stable over time

Metrics shown are examplesβ€”replace with real results or anonymized ranges.

🧠 Approach

Method

Built RAG with chunking + metadata strategy, retrieval tests, answer grounding, and a lightweight evaluation harness for regression checks.

RAGEvaluationGuardrails
🧱 Architecture

How it shipped

Document pipeline β†’ vector index, retrieval API, assistant UI embed, and telemetry for cost/latency. Canary releases for prompt changes.

Vector indexAPITelemetry
πŸ›‘οΈ Governance

Safety + reliability

PII redaction, jailbreak resistance measures, denylist policies, and monitoring for unsafe outputs and low-confidence answers.

PIISafetyMonitoring