Mandate Driven AI Execution, Transparency & Governance

As Federal agencies deploy AI under active Executive Orders, teams face increased execution and governance risk. Open source tools and open weight AI models offer a clear path to transparency and control. With an effective operational and ai governance framework, agencies can reduce risks and address supply chain challenges.

Join OpenTeams and Carahsoft industry experts for six webinar sessions focused on implementing responsible AI frameworks and managing AI systems in alignment with Federal mandates.

Access the on-demand series to discover how Executive Orders and Federal AI policy requirements map to operational responsibilities. Gain practical guidance for deploying and managing AI systems in production, along with insights on implementing open source in regulated, mission-critical environments.

• MOSA for AI: Aligning AI Platforms with DoW Modular Open Systems Requirements
  • As AI becomes mission infrastructure, DoW programs must avoid vendor lock in and align with MOSA requirements. This webinar explores what MOSA compliance means for AI execution platforms, including modular architectures that support interchangeable models, tools and infrastructure components. As AI becomes mission infrastructure, DoW programs must avoid vendor lock in and align with MOSA requirements. This webinar explores what MOSA compliance means for AI execution platforms, including modular architectures that support interchangeable models, tools and infrastructure components.
• Beyond the Black Box: Meeting EO 14179 Transparency Requirements with Open-Weight Models
  • Open weight and openly inspectable models are increasingly attractive to Federal agencies seeking transparency, sovereignty and flexibility. This webinar examines how agencies can meet EO 14179 transparency requirements when deploying open weight models and where execution, lifecycle management and governance challenges arise once those models are operational.
• Proving Model Provenance: EO 14365, NIST AI RMF and Federal Audit Readiness
  • Agencies must be able to prove where models came from, how they were modified and how they behaved in production over time. This session focuses on model provenance and audit readiness, with attention to environments that mix proprietary systems, open-weight models and open-source tooling.
• AI Supply Chain Risk Under EO 14028: Governing Open Source Models and Tooling
  • Most Federal AI systems rely on open source components, whether directly or indirectly. This webinar examines how agencies can manage AI supply chain risk under EO 14028, with a focus on governing open source models and tooling once they are deployed and running.
• EO 14179 & EO 14365 Explained: What Model Transparency Means in Federal Production Environments
  • Federal agencies are required to demonstrate transparency and accountability for AI systems once they move into production. This session focuses on what those requirements mean operationally how agencies maintain visibility into models, workflows and decisions over time, regardless of whether systems are built using proprietary or open components.

Fill out the form to access the AI governance webinar series and begin building a compliant, transparent AI foundation for your agency.