AI Training

AI can do the work. Knowing when to trust it is the skill.

Scenario-based training that builds judgment for high-stakes AI decisions.

Your team can use AI tools. But can they judge when to trust the output? The skill isn't prompting - it's knowing when to verify, when to override, and when to trust.
Discuss AI judgment training

THE CHALLENGE

Speed without judgment is dangerous

Your team can use AI tools. But can they judge when to trust the output? AI makes confident mistakes. It hallucinates facts, misses context, and produces plausible-sounding nonsense. The faster your team works with AI, the more they need the judgment to catch what it gets wrong. This isn't about slowing down - it's about building the critical eye that lets you move fast without breaking things. The skill isn't prompting. It's knowing when to verify, when to override, and when to trust. Most AI training focuses on capability. Almost none addresses judgment.

Our Solution

Building the critical eye

AI makes confident mistakes. It hallucinates facts, misses context, produces plausible-sounding nonsense.

The faster your team works with AI, the more they need the judgment to catch what it gets wrong.

We design scenario-based programs where people practice evaluating AI output in realistic situations - catching errors, identifying hallucinations, making judgment calls about when verification is worth the time.

The goal isn't to slow people down. It's to build the critical eye that lets them move fast without breaking things.

Tracks

The flight simulator for business skills
Ready-to-run scenario programs for teams

Ready-to-run programs for teams. Practice essential skills through realistic scenarios.

Learn more ->

What’s included

  • Hands-on practice with AI tools in realistic scenarios
  • Frameworks for evaluating AI output quality
  • Case studies of AI successes and failures
  • Team calibration exercises for consistent judgment
  • Guidelines for AI use in sensitive situations

What changes

• Clear frameworks for evaluating AI output quality • Practice catching AI mistakes before they become problems • Confidence in knowing when to trust vs. verify • Shared standards for AI use in sensitive situations • Reduced risk from AI-assisted errors
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In practice

See how this approach played out with a real client.

Columbia Business School x DIG

Interactive MBA sessions where Columbia students tackled real operational challenges facing DIG's restaurant expansion - theory meeting the actual work of scaling a brand.

Explore project

What they say...

Todd

Hansen

Executive Producer - Web Summit
“Cracking the code of designing engaging learning environments is what these guys understand and deliver”

About Wavetable

We design learning experiences that actually change behavior.

Wavetable is an experiential education studio.

We work with leading organizations to create immersive simulations and scenarios that help teams practice high-stakes situations before they face them in real life.

Our approach combines narrative design, learning science, and deep expertise in leadership development.

Trusted by teams at:
vice
wasserman
amplitude
dig
havas
ey
columbia business school
whalar
sxsw
nyc
the new york times
we
vice
wasserman
amplitude
dig
havas
ey
columbia business school
whalar
sxsw
nyc
the new york times
we

Sound like a fit?

Let's talk. We'll get back to you within 48 hours.

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