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Pillar 5: Design and Prototype

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Every initiative is a prototype until evidence says otherwise.

Traditional change management assumes you know the destination: define the future state, plan the transition, execute. AI moves too fast to define a future state. Design thinking applied to organizational change: Build–Measure–Learn. Rapid prototyping sprints, safe-to-fail experiments, and evidence-based scaling replace big-bang rollouts.

TOOL

No-Code Sandboxes

Tools for non-technical builders to prototype AI workflows

PROCESS

BUILD: Bound the Experiment

Define hypothesis, minimum viable test, and kill criteria

BEHAVIOR

Bias for Action

Taking quick steps before having perfect information

SKILL

“Rough Work” Transparency

Showing unfinished work to learn faster

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