AI Application/LoB level Transformation Workshop (AIAT)


Course Overview

This workshop covers the second phase of the AI Adoption Framework; application-level AI solutions. Participants will learn to identify opportunities for AI that can be implemented by replacing an entire process or work flow in its entirety. This is the second step to using AI to substantially change what and how work gets done and moves companies beyond augmenting specific functions with AI. Entire work domains will be examined and opportunities to modify it substantially using AI will be explored, work domains include: sales, marketing, HR, finance, engineering, operations, logistics, and others. Participants will explore their selected domain, consisting of multiple functions, and re-image that domain, or key sub-areas, to embrace AI capabilities end to end. Reengineering specific applications sets the stage for understanding how to reengineer entire systems.

Who should attend

This workshop is intended for individuals who have attended the AI Functional level Transformation Workshop (FL-AIFT) and wish to understand how to enable AI at a larger scale to reimagine the work domains they are responsible for or support. Any individual who manages or is responsible for change within a business unit should attend this class including managers, directors, analysts, technical contributors, and individual contributors.

Course Objectives

Upon the completion of this class participants will:

  • Be able to identify and fully explain application-level AI
  • Be able to design a specific application-level AI solution during the workshop
  • Be able to communicate to others the value of application-level AI and the steps necessary to incorporate it into their business
  • Understand the next steps they need to take to continue their AI journey
  • Be prepared to take the next workshop in the series: AI System level Transformation Workshop (FL-AIST)

Outline: AI Application/LoB level Transformation Workshop (AIAT)


  • Course Objectives
  • Introduction
  • Overview

FAST Framework recap

Optimization Frameworks

  • Lean
  • Design Thinking for AI
  • Agile

How to identify AI application level opportunities

  • Identify the application
  • Identify the functions
  • Push judgment down
  • Push prediction up
  • Simplify the application

Identifying AI opportunities through applications

  • Workshop Step 1
  • Select an application
  • Identify component functions
  • Identify interactions between functions
  • Identify predictions and judgements

Designing an AI enabled application

  • Workshop step 2
  • Decompose prediction and judgment
  • Relocate prediction and judgment
  • Redesign processes for AI

Identify Business Readiness for an AI Application

  • Workshop step 3
  • Identify the business coordination and agreements required for success
  • Identify the costs and benefits of using AI to perform this application

AI Application Proposal

  • Workshop step 4
  • Summarize the AI application proposal and key details
  • Perform a trial/test of the proposed AI application
  • Evaluate the usefulness and capabilities of the AI application

Prices & Delivery methods

Online Training Private

4 hours

  • on request
Classroom Training Private

4 hours

  • on request


Currently there are no training dates scheduled for this course.