Agentic systems that compress C2 workflows (COA generation, mission planning, post-mission analysis) while keeping the human commander in the decision seat.
Course-of-action generation under JADC2 timelines is the binding constraint. Planners can outpace the staff process; the staff process can't outpace itself.
Post-mission narrative generation is the most under-automated workflow in the JADC2 stack and the most error-prone for the operator.
How the agents are sequenced.
- 01Frame
Frame
Planning agents generate COA options against commander's intent and ROE.
- 02Wargame
Wargame
Adversary-modeling agents stress each COA against TTP libraries.
- 03Present
Present
Decision agents present trade-space narratives with citations to logs and sensor data.
Outcomes from pilots and production.
Use case · 01
Agentic COA brainstorming for tactical planners
Target: compress the COA generation cycle inside the staff window.
Use case · 02
Multi-agent wargaming on TTPs
Target: increase COA branches evaluated per planning window.
Use case · 03
Post-mission narrative generation from sensor logs
Target: produce a citation-grounded AAR draft as the mission ends.