Safe, Explainable AI Over Your Enterprise Knowledge

Infiligence’s Governed RAG brings retrieval-augmented generation to regulated data — with guardrails for safety, compliance, and auditability.

Outcome:
Faster answers, fewer hallucinations, and AI you can trust in regulated workflows.

What This Solution Does?

  • RAG architecture blueprints aligned to AWS/Azure/GCP
  • Data governance: PII/PHI redaction, row/column-level access
  • Policy-aware generation with domain guardrails
  • Evaluation pipelines for hallucination, quality & compliance
  • Observability: prompt logs, retrieval logs, audit trails
  • Integrations with portals, intranets, Slack/Teams, dev tools

Quantified End Value for Platform Engineering Leaders

40-60%
reduction in manual research time
30–50%
fewer hallucination corrections via guardrail enforcement
50-70%
faster access to SOPs, policies, clinical guidelines, or configuration docs
22-40%
fewer expert-escalation tickets from engineering or compliance
Significant reduction in AI-driven compliance risk thanks to redaction + audit layers

Most Relevant Industries

Healthcare Providers & Payers
Life Sciences & Pharma (SOPs, QMS, Clinical Ops)
BFSI & Insurance
Regulated SaaS & Enterprise Platforms
Telecom & Manufacturing
Shared Services (HR, Legal, GRC Ops)

Launch a Governed RAG Pilot

Test your first safe, compliant RAG use case in under 4 weeks.

FAQs

Governed RAG includes policy guardrails, evaluation pipelines, data governance, and auditability — critical for regulated industries

Yes — all components can run fully inside your cloud boundary.

We enforce retrieval constraints, implement safety checks, and build continuous evaluation pipelines.

Yes — with tenant-aware indexing, retrieval, and policy segmentation.