AI-Driven Compliance for a Federal Agency
40% reduction in audit preparation time
The agency's compliance posture spanned hundreds of systems and thousands of NIST 800-53 controls. Evidence collection was manual, audit prep consumed weeks of analyst time per cycle, and control drift was discovered after the fact not before. Leadership needed continuous evidence with examiner-grade defensibility.
How we delivered.
- Step 01
Stood up a control intelligence platform mapping NIST 800-53 and agency overlays to live telemetry sources.
- Step 02
Engineered retrieval-augmented generative AI for evidence summarization with citation back to source-of-truth artifacts.
- Step 03
Built control-drift detection using anomaly models tuned per control family, with risk-based alerting to ISSOs.
- Step 04
Implemented an evaluation harness and human-in-the-loop review for every AI-produced artifact prior to acceptance.
- Step 05
Embedded the workflow into the agency's existing GRC tooling no parallel system for analysts to maintain.
Measurable, defensible, durable.
audit preparation cycle time reduced
AI-produced evidence cited back to source artifacts
control drift detection across critical systems
evidence pipeline accepted by independent assessors
- NIST 800-53
- FedRAMP High patterns
- Azure Government
- Anthropic Claude (FedRAMP)
- RAG + evaluation harness
- ServiceNow GRC
“We moved from audit panic to audit confidence and our analysts finally got their week back.”
Senior agency cyber leader