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AI That Works: Critical Thinking for Smarter Workflows

price starting at:
$795
course duration:
1 Day
training option:
Live Online and Dedicated Workshops

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Course Overview

AI can accelerate your work—but speed alone does not guarantee better results. The real advantage comes from knowing where AI adds value, how to ask better questions, and when human judgment needs to take the lead.

This highly practical, full-day workshop brings critical thinking and AI-enabled workflow improvement together. Participants learn how to evaluate their current ways of working, identify appropriate opportunities for AI, create more effective prompts, critically evaluate AI-generated results, and redesign workflows with purposeful human review built in.

This course will earn you 7 PDUs

No previous AI experience is required.

To participate fully in the hands-on exercises, participants should:

  • Have access to an AI tool approved by their organization or IT/compliance team.
  • Complete the provided pre-work checklist before attending.
  • Come prepared to identify a recurring work process or workflow they can examine and improve during the workshop.

Because participants will work with AI tools during the course, they should follow their organization's policies regarding confidential, proprietary, personal, or otherwise sensitive information.

AI That Works: Critical Thinking for Smarter Workflows Course Overview

Learning Objectives

  • Apply critical thinking to AI-assisted work using a structured approach to analysis, questioning, evaluation, and decision-making. 
  • Identify opportunities for AI within existing workflows by mapping real processes, recognizing friction points, and determining where AI capabilities can add meaningful value.
  • Match AI capabilities to business needs by defining the question or problem before selecting how AI should be used.
  • Create more effective AI prompts using a five-part structure—Role, Task, Context, Format, and Constraints—grounded in disciplined inquiry rather than trial and error.
  • Evaluate AI-generated output critically for accuracy, relevance, completeness, logic, and risk before putting it to use.
  • Recognize human and AI-enabled bias, assumptions, and reasoning errors that can affect the quality of AI-supported decisions and work products.
  • Apply the LAB framework—Limitations, Assumptions, and Bias to establish meaningful human review checkpoints in AI-enabled workflows.
  • Use the COACHES characteristics of effective critical thinkers, with particular emphasis on Curiosity, Humility, and Objectivity, to support responsible AI use.
  • Redesign a real workflow with AI intentionally integrated, including clear human review points and measures of success.
  • Identify specific behaviors for improving personal and team AI use after the workshop.

COURSE AGENDA

Personal Leadership

Self Development

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  • Course overview
  • Learning objectives review

  • Thinking, critical thinking, and AI-assisted thinking
  • The opportunities and limitations of AI
  • Why AI fluency should not be confused with AI accuracy
  • Open-mindedness as a workflow skill

  • Explore five practical AI capabilities commonly used in knowledge work
  • Exercise: Map your workflow with a critical thinking lens
  • Debrief: Identifying Patterns

  • Defining the problem before asking AI to solve it
  • Applying analysis and logic to AI-assisted work
  • Distinguishing a well-formed question from a poorly formed one
  • Identifying assumptions hidden inside prompts
  • Using follow-up questions to improve both AI output and human reasoning

  • Determine how friction points help determine AI appropriateness
  • Exercise: Find where AI fits
  • Debrief: What information would AI need?

  • COACHES model for critical thinking and responsible AI use
    • Curiosity
    • Objectivity
    • Active listening
    • Contextualization
    • Humility
    • Emotional control
    • Self-awareness

  • How prompts actually work
  • Prompt structure in practice
  • Exercise: Write and test a real prompt
  • Debrief: Determining how to create valuable prompts

  • Human review is essential to responsible AI use
  • Understanding the LAB framework
  • AI fallacies in action

  • Exercise: Redesigning the original workflow using the LAB framework
  • Debrief: Share lessons learned - before, after, and what changed

  • Utilizing the evaluative processes
  • Choosing a COACHES characteristic to strengthen

  • Course Summary
  • Wrap-up

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