---
id: "action-shift-to-in-flow-training"
type: "action-item"
source_timestamps: ["§ They Train People in the Context of Real Work", "¶12", "¶13"]
tags: ["training", "real-time-analytics"]
related: ["concept-learning-in-the-flow-of-work", "prereq-real-time-data-infrastructure", "framework-building-ai-with-workers"]
action: "Deliver context-specific AI training directly on the factory floor supported by real-time analytics."
outcome: "Improves immediate relevance of training, accelerates adoption, and allows for targeted, real-time supervisory coaching."
sourceUrl: "https://hbr.org/2026/05/the-best-manufacturers-build-ai-with-workers-not-for-them"
sourceTitle: "The Best Manufacturers Build AI with Workers, Not for Them"
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-cl-78-build-ai-with-workers"
---
# Shift to In-Flow Training

**Action:** Stop removing workers from the factory floor for broad, conceptual AI training. Instead, train them *in the flow of work* by having them use AI tools (e.g., next-best-action dashboards) directly on the line. Equip supervisors with real-time analytics to monitor where work stalls or confidence drops so they can intervene and coach immediately.

**Expected outcome:** more immediately relevant training, faster adoption, and targeted real-time supervisory coaching.

This operationalizes [[concept-learning-in-the-flow-of-work]] and is Pillar 2 of the [[framework-building-ai-with-workers]]. **Precondition:** [[prereq-real-time-data-infrastructure]]. Note the enrichment caveat — do not abandon classroom instruction for foundational, safety-certified, or regulated procedures.