Agile Defense wins $2 million CDAO contract to develop agentic AI workflows

Agile Defense won a $2M Pentagon contract to build AI agent systems for real DOD operational use. The one-year deal moves beyond isolated pilots toward enterprise-scale deployment.

Categorized in: AI News IT and Development
Published on: May 12, 2026
Agile Defense wins $2 million CDAO contract to develop agentic AI workflows

Agile Defense Wins $2M Pentagon Contract for Enterprise AI Agents

Agile Defense secured a $2 million contract from the Department of Defense's Chief Digital and Artificial Intelligence Office to build and deploy agentic AI workflows across the enterprise. The one-year prototype contract, awarded through the Tradewinds acquisition ecosystem, tasks the company with developing AI agents that can operate in real operational environments.

The work differs from typical pilot programs. Rather than building isolated, unclassified demonstrations, Agile Defense will architect and implement AI agent systems designed to scale across DOD's Enterprise Mission Area. The company will measure real-world mission utility and use those results to guide broader AI integration across the department.

Mike Pansky, chief transformation officer at Agile Defense, said the contract reflects growing confidence in the company's technical approach. "We are building the conditions for durable, scalable agentic AI adoption," Pansky said. "This work reinforces that our technical AI leadership is deservedly earning the trust of the Department of War."

The contract uses the Prototype Other Transaction Authority, a procurement mechanism that allows DOD to move faster with experimental technology development than traditional contracting methods allow.

For IT and development teams, the project signals where federal agencies are directing resources: moving AI agents and automation from concept to operational use. The focus on mission utility and enterprise integration suggests federal buyers are past the proof-of-concept phase and now evaluating how generative AI and LLM systems perform in production environments.


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