AI-Augmented Workforce Fast Start (AIFT)


Course Overview

This workshop introduces the key frameworks that support the practical adoption and implementation of AI services and covers the first phase of the AI Adoption Framework; functional-level AI solutions. Participants will learn to identify opportunities for AI that can be quickly implemented without disrupting existing processes or workflows, enabling fast wins and gaining experience with AI that will support the later phases of the FASt Framework. Participants will select and use a specific AI capability that supports an activity they currently perform so that they can experience first-hand the benefits of AI.

Who should attend

This workshop is intended for all individuals at all levels of knowledge. It is helpful if participants have attended Fast Lane’s Introduction to AI for Business (FL-AIFB) so that they have a basic understanding of what AI is, how it works, and a basic understanding of its potential.

Course Objectives

Upon the completion of this class participants will:

  • Understand the key frameworks required for successful AI implementation
  • Be able to identify and fully explain functional-level AI
  • Be able to implement a specific functional-level AI during the workshop
  • Be able to communicate to others the value of AI and the steps that can be taken to incorporate AI into their business immediately
  • Understand the next steps they need to take to continue their AI journey
  • Be prepared to take the next workshop in the series: AI Application level Transformation Workshop (FL-AIAT)

Outline: AI-Augmented Workforce Fast Start (AIFT)


  • Course Objectives
  • Introduction
  • Overview

AI Frameworks

  • Economic Framework
  • Opportunity Framework
  • Implementation Framework
  • 5 Pillars

Introduction to FASt Framework

  • Why Frameworks Matter
  • Overview of FASt
    • Functional-level AI
    • Application-level AI
    • System-level AI
  • How to Identify AI functional level opportunities
    • Follow the Flow
    • Rules, Decisions, and Judgement
    • Prediction and Uncertainty
    • Decoupling Prediction and Judgement

Identifying AI Opportunities through Functions

  • Workshop step 1
  • Identify the process and tasks
  • Identify the Input, Decision, Judgement, and Outcome of the process
  • Identify decisions that can be replaced with AI

Identify 5 Pillars of an AI Function

  • Workshop step 2
  • Identify the 5 pillars required for successful AI implementation
  • Identify the costs and benefits of using AI to make a decision

Identify Business Readiness for an AI Function

  • Workshop step 3
  • Identify the components required for an AI-based functional-level decision
  • Plan the 5 pillars required to implement the AI function:
    • Data
    • Data Analytics
    • Cloud
    • Process Automation
    • ML/AI

AI Function Proposal

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

Next Steps

  • Continuous Monitoring, Refinement, and Optimization
  • Next phases of FASt: Applications and Systems

Prices & Delivery methods

Online Training

4 hours

  • Online Training: CAD 920
  • Online Training: US$ 695


Currently there are no training dates scheduled for this course.