---
id: "contrarian-reward-compliance-over-outcomes"
type: "contrarian-insight"
source_timestamps: ["§ How the Company Gained Buy-In"]
tags: ["incentives", "management-theory", "contrarian"]
related: ["concept-risk-free-adoption", "action-restructure-evaluations", "quote-safe-harbor-compliance", "question-long-term-accountability"]
challenges: "The conventional view that employees should always be strictly evaluated on their final output/quotas, regardless of the tools they used."
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-41-french-spirits-employee-buy-in"
sourceUrl: "https://hbr.org/2025/12/how-a-french-spirits-company-created-employee-buy-in-for-ai"
sourceTitle: "How a French Spirits Company Created Employee Buy-In for AI"
---
# Reward AI Compliance Over Raw Outcomes During Transition (Contrarian)

**Contrarian insight.** Conventional management theory dictates that employees should be judged on their final outcomes and results (e.g., hitting a sales quota). The contrarian move here is that during a technological transition, organizations must temporarily *decouple outcomes from performance evaluations.* It is better to reward an employee who fails while using the new system than to reward an employee who succeeds by clinging to the old system.

**What it challenges:** The conventional view that employees should always be strictly evaluated on their final output/quotas, regardless of the tools they used.

**Basis & nuance.** Directly supported by Pernod Ricard's safe-harbor design ([[concept-risk-free-adoption]], [[quote-safe-harbor-compliance]], [[action-restructure-evaluations]]); the approach temporarily prioritizes compliance with AI recommendations over raw outcomes in evaluation. Research on technology adoption and experimentation supports temporary shifts toward *process-based evaluation* to foster learning when tools are new and performance variance is high (psychological safety). The counter-caution: this is a transitional device — some scholars warn that over-emphasizing process compliance can entrench underperforming systems, so organizations must eventually return to blended results-plus-appropriate-use criteria (see [[question-long-term-accountability]]).
