---
id: "question-scaling-personalized-interventions"
type: "open-question"
source_timestamps: ["§ Behavioral Change"]
tags: ["change-management", "scalability"]
related: ["concept-behavioral-change-gen-ai"]
resolutionPath: "Development of automated workflow-analysis tools or decentralized 'train-the-trainer' models that allow individual departments to customize AI integration."
sources: ["spine"]
sourceVaultSlug: "hbr-seg-spine"
originDay: 1
articleStem: "hbr-cl-95-6-disciplines-genai"
sourceUrl: "https://hbr.org/2024/07/the-6-disciplines-companies-need-to-get-the-most-out-of-gen-ai"
sourceTitle: "The 6 Disciplines Companies Need to Get the Most Out of Gen AI"
---
# How can organizations scale personalized Gen AI workflows?

**Open question:** The most effective way to introduce Gen AI is *personalized* to individuals and specific jobs (see [[concept-behavioral-change-gen-ai]]) — but many organizations lack the discipline and time to pursue this. How can this personalization be achieved at **enterprise scale**?

**Resolution path:** development of automated workflow-analysis tools, or decentralized "train-the-trainer" models that let individual departments customize AI integration.

Enrichment tie-in: the counterpoint that behavioral change can be *partially templated* (standardized core patterns + local customization, as seen with coding assistants) is one plausible answer to this scaling problem.