---
id: "entity-air-canada-d6"
type: "entity"
entityType: "organization"
canonicalName: "Air Canada"
aliases: []
source_timestamps: ["§ When the Implicit Organization Stops Being Automatic"]
tags: ["case-study", "ai-failure"]
related: ["concept-professional-discretion"]
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-new-26-agentic-systems-implicit-rules"
sourceUrl: "https://hbr.org/2026/06/how-to-design-agentic-systems-around-the-implicit-rules-that-govern-your-company"
sourceTitle: "How to Design Agentic Systems Around the Implicit Rules that Govern Your Company"
---
# Air Canada

**Type:** Organization (Canadian airline; canonical site aircanada.com).

**Role in source:** The article's cautionary tale — a public AI failure illustrating an agent that lacks [[concept-professional-discretion]].

**How it's used:** Air Canada's chatbot **fabricated a refund process for bereavement fares with full confidence.** A tribunal held the airline liable for the chatbot's statements. The agent did not know the real policy and — crucially — *failed to pause or hesitate before inventing one.* There was [[quote-api-bad-vibe|no API for the bad vibe]] that would have stopped a human. It is the concrete stakes behind [[action-design-hesitation]].

**Canonical reference:** aircanada.com; widely reported 2024 civil-tribunal decision on chatbot-provided misinformation.