About This Instructor-Led Training

As artificial intelligence agents become increasingly integrated into defense and intelligence operations, the ability to lead teams of people and AI agents is emerging as a critical national security leadership competency.

While AI agents can execute tasks, analyze information and support complex mission workflows, they cannot replace the human judgment, leadership and accountability essential to mission success.

For supervisors and managers across the U.S. Department of War and Intelligence Community, this shift introduces a new leadership challenge: determining how work should be divided between people and AI agents, establishing appropriate levels of agent autonomy and ensuring teams remain effective, accountable and mission ready as AI capabilities evolve.

This full-day, instructor-led training workshop—delivered either in-person or virtually—prepares U.S. Department of War, Intelligence Community and government contractor leaders to effectively supervise teams in which people and AI agents share responsibility for mission-related work. Using the FedLearn LEADER Model, you will develop practical skills for allocating tasks, establishing operational limits, supervising agent execution, assigning accountability—preparing leaders to work alongside AI agents and evaluating team performance.

Through realistic national security scenarios, instructor-facilitated discussions, collaborative exercises and role-playing activities, you will practice responding to unexpected agent behavior, making decisions under operational pressure and addressing the human challenges associated with AI integration. The course emphasizes maintaining appropriate trust in AI systems, preserving critical human skills and creating a team environment in which personnel are empowered to question AI-generated outputs and intervene when necessary.

A distinguishing feature of this workshop is its focus on practical leadership application. You will develop a comprehensive Agent Employment Plan tailored to your own mission workflow. This actionable plan addresses how work is allocated between people and agents, where agent authority begins and ends, how execution is supervised, who is accountable for results, how personnel are prepared for their evolving roles and how performance is measured and improved over time.

By the end of the workshop, you will possess have a practical framework for leading human-AI teams with confidence while strengthening workforce readiness, operational effectiveness and mission accountability.

What You Will Learn

• Design a task allocation plan that assigns responsibilities between people and AI agents and establishes appropriate levels of agent autonomy
• Establish operational boundaries, oversight requirements and conditions that trigger human intervention or escalation
• Evaluate AI agent performance during mission execution and determine when to verify, override, disengage or escalate
• Assess accountability for AI-supported decisions and establish clear human ownership of agent-generated results
• Evaluate team readiness to work with AI agents, address trust and workforce concerns and preserve essential human skills
• Develop a measurement and review plan to assess team performance and adjust agent autonomy based on operational evidence

Who Should Take This Workshop

This workshop is designed for leaders at all levels across the DoW, Intelligence Community and government contractor organizations supporting defense and intelligence missions who currently lead or anticipate leading teams in which people and AI agents work together.

The training is particularly relevant for mission and operational leaders, intelligence supervisors, program and project managers, technical team leaders, acquisition managers and other professionals responsible for integrating AI agents into team workflows while maintaining human oversight, workforce effectiveness and accountability.

Prerequisites

Participants must complete a short reading assignment before taking the workshop.

No prior experience managing AI agents is required.

Certificate of Completion

A certificate will be provided to participants after completing the training.

Format

Full-day, instructor-led training available in two delivery formats:

• In-person: One full-day (eight hours), facilitated workshop
• Virtual: Two consecutive half-day virtual instructor-led sessions delivered live via Microsoft Teams or Zoom.

Pricing

Single sessions and enterprise rates are available. Contact FedLearn for pricing at [email protected]

Continuing Professional Education Credits

This workshop provides 8 CPEs.