---
id: "action-build-managerial-toolkit"
type: "action-item"
source_timestamps: ["§ 3. Design and implement a capability building plan for employees managing agents."]
tags: ["training", "capability-building"]
related: ["framework-responsible-human-ai-collaboration"]
action: "Develop a training curriculum that teaches employees how to balance delegation and control when overseeing AI agents."
outcome: "Equips employees to use AI as a source of intelligence, challenge its outputs appropriately, and understand its limitations compared to human workers."
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-ext-16-dont-treat-agents-like-employees"
sourceUrl: "https://hbr.org/2026/05/research-why-you-shouldnt-treat-ai-agents-like-employees"
sourceTitle: "Research: Why You Shouldn’t Treat AI Agents Like Employees"
---
# Build an AI Managerial Toolkit

**Action:** Develop a training curriculum that teaches employees how to balance **delegation and control** when overseeing AI agents.

**Expected outcome:** Equips employees to use AI as a source of intelligence, **challenge its outputs** appropriately, and understand its **limitations** compared to human workers.

This is Step 3 of the [[framework-responsible-human-ai-collaboration]]. A capable manager-of-agents both avoids the over-trust that drives [[claim-quality-control-decline]] and avoids the over-escalation of [[claim-escalation-increase]]. The toolkit should reflect the reality that AI is not a bounded human role but a scalable [[concept-agentic-unit]], and it depends on the AI-literacy prerequisite [[prereq-agentic-ai-understanding-d16]].