Establishing an AI Community of Interest at EXIM

Background

This project will establish an AI-focused Community of Interest (COI) to examine how user-level awareness, peer examples, and operational use cases can accelerate safe adoption of AI across an organization. While approved AI tools are available, their use is often limited to technical teams or isolated pilots. Broader adoption is slowed by uncertainty, unclear value, and lack of visible, peer-driven examples. The COI will address these barriers by fostering collaboration, sharing practical applications, and helping staff integrate AI tools into daily work in a managed, secure way. The Export-Import Bank of the United States (EXIM) will serve as the initial use case, providing a real-world environment to test engagement strategies, document lessons learned, and demonstrate how operational teams can adopt AI tools in support of mission delivery.

Overall Project Objective and Mission

The purpose of this project is to establish an AI-focused Community of Interest (COI) that fosters collaboration, knowledge sharing, and adoption of AI at the operational level.

• Increase user-level awareness of AI tools and opportunities.
• Provide access to peer examples and early adopter experiences.
• Define a pathway to expand AI participation across the organization.
• Encourage safe, secure, and managed AI adoption across diverse roles.
• Shift culture and strengthen organizational support for the value of AI.

Project Approach

The project will begin with the development of a project paper to define the community’s structure, objectives, and participation model. Engagement from interested staff will be sought to help launch the initiative, and results will be tracked to evaluate its effectiveness. If successful, the results will be documented as a case study, providing a replicable approach for other government agencies seeking to adopt AI in a secure and managed manner.

Baseline participation and awareness will be captured within the first month. By six months, the goal is to show measurable increases — for example, a 20% growth in engagement and reported awareness. Additional outcome measures may be identified as the community matures.

Timeline milestones may include:

• Draft project paper and define community structure.
• Engage staff, recruit participants, and initiate pilot activities.
• Evaluate participation, capture outcomes, and refine model.
• Document results as a case study for broader government use.

Outcomes

Deliverables and outcomes include:

• A written project paper defining structure, objectives, and participation model.
• Actionable templates and tools.
• Engagement activities such as forums, workshops, or presentations to staff.
• Documentation of results and lessons learned.
• A case study that can serve as a model for agencies seeking to adopt AI in a secure and managed manner.

Membership

The project seeks members with experience or expertise in:

• Artificial intelligence and emerging technologies.
• Organizational change management and adoption strategies.
• Cross-functional roles that use AI at both technical and operational levels.
• Members who have successfully implemented AI within their organization.

This call for volunteers is now closed.

For inquiries, please contact the ACT-IAC staff partner for this initiative, Reneta Din at [email protected].