Agentic AI for DoD: An OODA Loop That Doesn't Sleep
Compressing the decision cycle with full audit trail for trust.
Agentic AI in DoD terms: it's an OODA loop that doesn't sleep.
The Framework
- Observe: Agents watch queues, sensors, and logs under least-privilege access.
- Orient: They apply policy and SOPs with model judgment—with full provenance for audit.
- Decide: Within defined thresholds, they choose actions. Low confidence triggers escalation to human decision-makers.
- Act: They execute in approved systems and feed results back into the loop.
It's not just "cloning yourself" to execute poor procedures faster. It's compressing the decision cycle and proving why each step happened.
At Norseman, Odin's Edge runs these policy-governed agents at the tactical edge—milliseconds to action, full audit trail for trust.
Where It Helps in Government
- SOC and incident triage: Correlate alerts, enrich with intel, open a ticket, propose a fix, escalate to a human analyst.
- Procurement ops: Track expiring contracts, assemble renewal packets, route for approval.
- FOIA and intake: Classify requests, pull candidate records, draft indexes for review.
- Field and edge ops: When disconnected from the cloud, analyze sensor data and recommend actions, then sync when connectivity is restored.
Policy Governance Is the Differentiator
The difference between useful agentic AI and dangerous agentic AI is governance. Agents without policy constraints will optimize for the wrong objective, take actions outside their authority, and create compliance gaps that are very expensive to unwind.
Odin's Edge runs policy-governed agents at the tactical edge—every action bounded by a policy ruleset, every decision logged, every escalation tracked.
Contact Norseman to learn if Odin's Edge can help you. Also explore AI-powered service desk and robotic process automation use cases.
