AI Agents for Business: Build the Agentic Organization
AI Agents for Business: Build the Agentic Organization, Design, govern, measure, and scale AI agents, multi-agent systems, and human-AI workflows for responsible business value.
Course Description
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.
