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Creating AI Business and Leadership Agents in Copilot Training Course

Formats ⟩  Live Virtual: 4 hrs./1 Day  |  In-Person: 6 hrs./1 Day

Creating AI Business and Leadership Agents with Copilot equips leaders with the skills to design, build, and deploy AI agents that support decision-making, communication, and operational workflows. Participants will explore how leadership-focused agents are structured, how they integrate with business processes, and how to design agents that are reliable, secure, and aligned with organizational goals. The course includes hands-on activities where participants create agents for real-world leadership scenarios such as briefings, workforce insights, and meeting preparation. By the end, participants will be able to develop and scale AI agents that enhance leadership effectiveness and organizational performance.

Learning Objectives

  • Understand Copilot agents and how they support workflows.
  • Design and build leadership-focused AI agents using Copilot.
  • Apply best practices for reliability, security, and governance.
  • Identify key leadership use cases for AI agents.
  • Deploy, monitor, and scale AI agents across the organization.

Course Agenda »

Leadership Context for Copilot Agents

  1. Understanding Leadership Agents
  2. Why They Matter for Leaders
  3. Business Use Cases

Agent Architecture for Leadership

  1. Core Components
  2. How Agents Support Workflows
  3. Security, Privacy, and Governance

Designing Agents

  1. Scoping the Agent’s Purpose
  2. Mapping Leadership Workflows
  3. Writing High Quality Instructions
  4. Designing for Reliability and Trust

Building Leadership Agents

  1. Creating the Agent Framework
  2. Adding Leadership Relevant Capabilities
  3. Integrating with Enterprise Systems
  4. Testing and Validation

Domains Where Agents Add Value

  1. Strategic Leadership
  2. People and Performance Leadership
  3. Operational Leadership
  4. Communication and Influence

Organizational Considerations

  1. Compliance and Risk Management
  2. Change Management for Leadership
  3. Governance and Oversight

Labs and Scenario Based Activities

  1. Leadership Briefing Agent
  2. Workforce Insights Agent
  3. Meeting Prep and Follow Up Agent
  4. Scenario Simulation
  5. Peer Review

Deployment, Monitoring, & Improvement

  1. Publishing and Rollout
  2. Monitoring and Feedback Loops
  3. Scaling Across the Organization
  4. Capstone Project

Creating AI Business and Leadership Agents in Copilot Training Course

Formats ⟩  Live Virtual: 4 hrs./1 Day  |  In-Person: 6 hrs./1 Day

Creating AI Business and Leadership Agents with Copilot equips leaders with the skills to design, build, and deploy AI agents that support decision-making, communication, and operational workflows. Participants will explore how leadership-focused agents are structured, how they integrate with business processes, and how to design agents that are reliable, secure, and aligned with organizational goals. The course includes hands-on activities where participants create agents for real-world leadership scenarios such as briefings, workforce insights, and meeting preparation. By the end, participants will be able to develop and scale AI agents that enhance leadership effectiveness and organizational performance.

Learning Objectives

  • Understand Copilot agents and how they support workflows.
  • Design and build leadership-focused AI agents using Copilot.
  • Apply best practices for reliability, security, and governance.
  • Identify key leadership use cases for AI agents.
  • Deploy, monitor, and scale AI agents across the organization.

Course Agenda »

Leadership Context for Copilot Agents

  1. Understanding Leadership Agents
  2. Why They Matter for Leaders
  3. Business Use Cases

Agent Architecture for Leadership

  1. Core Components
  2. How Agents Support Workflows
  3. Security, Privacy, and Governance

Designing Agents

  1. Scoping the Agent’s Purpose
  2. Mapping Leadership Workflows
  3. Writing High Quality Instructions
  4. Designing for Reliability and Trust

Building Leadership Agents

  1. Creating the Agent Framework
  2. Adding Leadership Relevant Capabilities
  3. Integrating with Enterprise Systems
  4. Testing and Validation

Domains Where Agents Add Value

  1. Strategic Leadership
  2. People and Performance Leadership
  3. Operational Leadership
  4. Communication and Influence

Organizational Considerations

  1. Compliance and Risk Management
  2. Change Management for Leadership
  3. Governance and Oversight

Labs and Scenario Based Activities

  1. Leadership Briefing Agent
  2. Workforce Insights Agent
  3. Meeting Prep and Follow Up Agent
  4. Scenario Simulation
  5. Peer Review

Deployment, Monitoring, & Improvement

  1. Publishing and Rollout
  2. Monitoring and Feedback Loops
  3. Scaling Across the Organization
  4. Capstone Project
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