Reasoning
Trust Layer for Agentic AI
Beyond Autonomy: Governing Autonomous Action in Federal Workflows
Governed agent architecture for federal compliance workflows, instrumented against NIST AI RMF, NIST AI 600-1, OMB M-24-10, and NIST 800-53 Rev. 5. Governance artifacts — trust ledger, risk matrix, runtime decision record — checked in before a single line of agent code is written.
Federal agencies and enterprises are deploying agentic AI — systems that don’t just answer questions but take actions across multiple autonomous steps. The governance frameworks designed for static models don’t transfer.
The framework is the deliverable. The agent is the proof it works.
Stack
- LangGraph
- Claude Sonnet
- AWS Bedrock
- Langfuse
- AWS IAM
- Python