AI Agents for Business: Build the Agentic Organization

Name: AI Agents for Business: Build the Agentic Organization
Availability: InStock
Rating: 5.0 (5 reviews)

5.0(5)15 studentsALL LEVELSEnglish

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Overview

AI Agents for Business is a strategic leadership course that moves beyond basic AI usage to explore how autonomous agents can be integrated into enterprise workflows. It addresses the shift from AI as a tool to AI as an actor with delegated authority, focusing on governance, accountability, and organizational design.

Who It's For

This course is ideal for executives, managers, and organizational leaders who are preparing for or already experiencing the integration of AI agents into business operations. It is also valuable for professionals in strategy, operations, risk, and technology governance.

Key Takeaways

Understand the structural difference between AI assistants and AI agents.
Learn how to design human-AI collaboration models with clear decision rights.
Gain frameworks for governing multi-agent systems, including monitoring, escalation, and auditability.
Apply a 90-day roadmap for piloting and scaling agentic systems responsibly.

About this course

This course contains the use of artificial intelligence.

AI agents are changing the role of artificial intelligence inside organizations. Instead of only generating answers, summaries, or recommendations, agentic systems can use tools, access business information, coordinate tasks, make decisions, and take action across real workflows.

That shift creates an important leadership challenge. Organizations must learn how to capture the value of autonomous AI without surrendering visibility, accountability, human judgment, or organizational control.

In **AI Agents for Business: Build the Agentic Organization**, Professor Law provides a practical and advanced introduction to the design, governance, measurement, and responsible scaling of AI agents in business.

The course begins by moving beyond the chatbot mindset. Students examine the anatomy of an AI agent, the transition from assistance to delegated authority, and the organizational capabilities required when AI can act.

Students then learn how to redesign work around human-AI teams. The course distinguishes jobs from workflows, introduces four modes of human-agent collaboration, and explains why decision rights, escalation paths, expertise, and professional judgment must be deliberately designed.

The course expands from individual agents to the multi-agent enterprise. Students examine specialized agents, shared context, orchestration, system control, and the operating model required to coordinate multiple autonomous capabilities.

Governance receives dedicated attention. Students learn how identity, access, permission, monitoring, auditability, incident response, recourse, and human accountability should shape autonomous action.

The final portion of the course translates these concepts into practice. Students receive a ninety-day roadmap for diagnosing opportunities, designing pilots, learning from evidence, and scaling responsibly. An advanced second section then teaches students how to measure business value, identify drift and silent failure, conduct agent value reviews, build an organizational control plane, strengthen workforce capability, and scale the agentic enterprise without losing control.

This course combines doctoral-level organizational leadership concepts with accessible explanations, realistic business scenarios, visual models, and the continuing Meridian Group case.

By the end of the course, students will possess an integrated framework for designing agentic workflows that are valuable, measurable, governable, and worthy of stakeholder trust.