Course Overview
This course is designed for leaders and decision makers who are involved in use case selection and agent design and are working to identify agentic AI use cases within their organization. The course begins by framing the unique characteristics and benefits of agentic solutions to establish a common understanding of what agents are and how they differ from other AI. The core content focuses on establishing a solid understanding of the proposed Agentic Transformation Framework (ATF) processes, which include identifying initiatives with high potential for agentic solutions, reimagining processes and systems, identifying, defining, and prioritizing use cases, conducting responsible AI workshops, and doing high-level agent design. Attendees will gain their first hands-on experience with ATF activities and tools to begin the skill development process.
Who should attend
Senior ICs and management involved in use case selection and agent design
Prerequisites
- General familiarity with Generative AI and Agentic solutions
- Strong familiarity with the business domains and processes being addressed
Course Objectives
- Frame the unique characteristics and benefits of agentic solutions
- Establish a solid understanding of the proposed processes in the
- Agentic Transformation Framework
- Explore hands-on experiences with ATF activities and tools
- Identify and encourage value-driving next steps for attendees
Outline: Identify Agentic AI Use Cases (IAAUC)
Module 1 - Agents in Action
Topics:
- Agentic transformation mindset
- Key tenets for use case activities
- Agentic Transformation Framework
Objectives:
- Adopt a specific mindset for agentic transformation
- Understand key tenets for use case activities
- Use a repeatable process for agentic transformation
Module 2 - Mapping the Agentic Transformation Framework
Topics:
- The agentic transformation roadmap
- Agentic development lifecycle
- References
Objectives:
- Transform a business with AI agents that can be broken down into clear, manageable areas
- Identify the structure of the three interconnected layers of the Agentic Transformation Framework
- Understand process and key deliverables for Agentic AI Development Lifecycle
Module 3 - The Reimagining Business Processes Phase
Topics:
- Inputs
- Identify agentic touchpoints
Objectives:
- Shift focus from optimizing legacy steps to designing outcome-driven future states
- Identify “agentic touchpoints” within a business process
- Define the Human-Agent Collaboration model for specific tasks
- Redesign a process map with agentic capabilities
Module 4 - Use Case Definition and Prioritization
Topics:
- Inputs
- Agent use cases and prioritzation
- Responsible AI
Objectives:
- Break down high-level “agentic touchpoints” into discrete, buildable use cases
- Prioritize these use cases based on value, impact, and feasibility
- Create a high-level agent design
- Conduct a Responsible AI (RAI) Risk Assessment to identify harms early