---
id: "action-explicit-review-processes"
type: "action-item"
source_timestamps: ["§ Relieving the Pressure: How Leaders Can Reduce Workslop"]
tags: ["quality-control", "workflow"]
related: ["framework-system-level-response", "concept-workslop", "lit-human-in-the-loop"]
speakers: ["Kate Niederhoffer", "Alexi Robichaux", "Jeffrey T. Hancock"]
action: "Establish review workflows that mandate human judgment and verification on AI-generated outputs."
outcome: "Prevents the offloading of cognitive work onto recipients and maintains output quality."
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-38-ai-workslop"
sourceUrl: "https://hbr.org/2026/01/why-people-create-ai-workslop-and-how-to-stop-it"
sourceTitle: "Why People Create AI “Workslop”—and How to Stop It"
---
# Implement Explicit AI Review Processes

**Action:** Establish review workflows that mandate human judgment and verification on AI-generated outputs.

To prevent cognitive offloading onto recipients, organizations must establish clear norms and review processes that explicitly *require and reinforce* human judgment before AI-generated work is shared. This implements the **Practice** layer of [[framework-system-level-response]] and reflects [[lit-human-in-the-loop]] principles.

**Expected outcome:** Prevents the offloading of cognitive work onto recipients and maintains output quality — directly counteracting the defining harm of [[concept-workslop-d38]].