No whitepapers full of theory. These resources are designed for operators and decision-makers who need to understand what mission-assured AI co-workers can do for their specific workflows.
A concise overview of how Federal AI deploys auditable, human-supervised AI co-workers for defense and the defense industrial base. Designed for operators and decision-makers who need to understand the approach, not the hype.
Download BriefingEverything you need to know about the Mission Workflow Sprint: what it is, what you get, how long it takes, and what it costs. Share with your team or leadership.
Download OverviewA focused overview of how Federal AI co-workers integrate into defense workflows—from acquisition to compliance to sustainment. No hype, no sci-fi. Just operational AI.
The defense community's fixation on large language models misses the point. What matters is whether AI operates within defined workflow boundaries with appropriate human oversight. This article examines why bounded AI co-workers outperform general-purpose AI in mission environments.
Defense industrial base companies face a compliance tsunami. CMMC requirements demand evidence across hundreds of controls. AI co-workers can automate evidence gathering and gap analysis while maintaining the audit trails that assessors require.
Too many AI vendors treat human oversight as a checkbox. In defense environments, human-in-the-loop must be designed into the workflow architecture from the start. This article explains the difference between genuine oversight and performative safety.
The defense AI landscape is littered with successful pilots that never reached production. The problem is not technology—it is the gap between demonstration and operational deployment. The Mission Workflow Sprint is designed to bridge that gap.
Not all AI is ready for mission environments. This briefing defines the five requirements for deployable AI co-workers: workflow boundaries, human oversight, audit trails, security architecture, and measurable outcomes.
Articles are representative of planned content. Full publications coming soon.
A concise briefing defining the five requirements for deployable AI co-workers: workflow boundaries, human oversight, audit trails, security architecture, and measurable outcomes. Share with your team or leadership.