---
id: "action-build-no-code-playgrounds"
type: "action-item"
source_timestamps: ["§ 4. Encourage Experimentation"]
tags: ["innovation", "no-code", "tooling"]
related: ["concept-digital-playgrounds", "entity-colgate-palmolive", "contrarian-metric-penalties"]
action: "Deploy secure, no-code platforms for employees to build and test custom AI assistants."
outcome: "Thousands of localized, highly relevant AI automations and a culture that rewards curiosity over rigid compliance."
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-40-workers-dont-trust-ai"
sourceUrl: "https://hbr.org/2025/11/workers-dont-trust-ai-heres-how-companies-can-change-that"
sourceTitle: "Workers Don’t Trust AI. Here’s How Companies Can Change That."
---
# Build No-Code Digital Playgrounds

**Action:** Deploy secure, **no-code** platforms that let non-technical employees **build, test, and share** custom AI assistants for their specific workflows. Implement **feedback loops** to identify and scale the most successful grassroots tools — the model of [[entity-colgate-palmolive]]'s AI Hub (3,000–5,000 assistants).

**Expected outcome:** thousands of localized, highly relevant AI automations and a **culture that rewards curiosity over rigid compliance.**

**Implementation notes:** the operational form of [[concept-digital-playgrounds]] (Step 4 of the [[framework-five-approaches-ai-trust]]). To make it work you must also **retire metrics that punish experimentation** (see [[contrarian-metric-penalties]]). **Governance caveat:** low-risk ≠ no-risk — pair the playground with lightweight architecture, review, and consolidation to prevent "AI sprawl," and channel widely used shadow tools into sanctioned equivalents (see [[question-shadow-ai-security]]).