Governance
AI Adoption That Agencies Can Defend
ADL builds AI governance frameworks for federal and local agencies — risk classification, review gates, compliance mapping to NIST AI RMF and OMB mandates — so every AI system has a defensible paper trail before it scales.
AI is the first time every program, lawyer,
and auditor has to share the same playbook.
ADL helps them agree on the rules.
What Governance Looks Like in Practice
Governed AI Workflows
Every AI system that touches material decisions gets clear intake, risk classification, owner assignment, and review gates—before it scales.
Oversight & Audit Views
Give CAIOs, counsel, and IGs a single place to see what AI is in use, who owns it, and what reviews and incidents have occurred.
Governed Rollout & Change
New AI features and third-party updates roll out with change documentation that leaves a clear trail for reviewers after the fact.
Trusted Frameworks & Policies
We anchor every engagement in the mandates your reviewers already use. ADL's methods layer on top. AI projects get from pilot to production.
AI Use & Intake
Enterprise AI Strategy
Risk Management
Safety & Transparency
Acquisition Oversight
Cloud Authorization
AI Directives
Security Baselines
Federal AI Policy
City Ordinances
State Oversight
Early Adopters
AI Governance That Fits Your Agency
Policy‑Aware AI Patterns
AI workflows built around your policies, approval paths, and records rules. Your defaults, not the vendor's.
Governance & Permissions
Role-based access, review queues, and audit trails. Who approved what, when, and under what conditions.
Deployment on Your Terms
Runs on agency cloud, VPC, or approved vendors. Governance respects security and data residency.
Systems We Plug Into
Connects to existing libraries, tools, case systems, and logging. Governance reflects the real work you do.
Governance Template Library
Forms, risk checklists, and review templates shaped to your standards. Ready to adapt.
Guided Implementation
Practitioners who've shipped AI and workflow projects in defense and international government.
Governance results that matter to reviewers
+80%
AI use cases that enter the pipeline with a complete intake form and risk checklist.
−50%
Average time shaved off governance review cycles for AI projects that follow the new playbooks.
+3X
Increase in AI use cases that make it from idea to approved pilot.
