GovTechRAGComplianceNIST

Compliance Agent (Redacted)

Custom policy-aware, contextual RAG AI Agent that guided agencies using advanced reasoning with built-in PII and compliance guardrails.

Response Speed+80%

Consolidation4 → 1 Teams

Accuracy>90%

Security 100%

Overview

We built a secure, self-hosted AI Agent that empowered a federal compliance oversight division to drastically accelerate inquiry handling and improve consistency. What once required four teams and lengthy manual reviews is now streamlined into a single high-performance workflow.

The Challenge

Data Overload: The agency was buried under 5,000+ monthly inquiries, each requiring cross-reference with 10,000+ pages of policy.
Inconsistent Guidance: Manual reviews led to variance in enforcement, creating legal risk.
Strict Security: Cloud-native LLMs were non-starters due to PII concerns. The solution had to run on-premise.

Technical Solution

We engineered a custom "Compliance Agent" deployed within their secure environment, utilizing a localized model architecture.

Hybrid Contextual RAG

Retrieves accurate policy clauses not just by keyword, but by semantic meaning, ensuring even vaguely worded queries get precise citations.

PII Redaction Layer

A pre-processing step that automatically detects and masks sensitive citizen data before it ever touches the reasoning model.

Reviewer Interface

The agent doesn't auto-send; it drafts a "perfect" response for a human specialist to approve, keeping humans in the loop.

"

James Galang's involvement and innovation in the review process has been very impressive. I wish I had the compliance tool he created sooner.

Division CISOFederal Agency • Identity Protected

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