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Production AI workflows in Operations

Cross-functional operations workflows in production. Tools, sub-patterns, named companies, and the most common first-deployment failures.

Tools companies use for operations
n8n
Claude API
Airtable
Stripe
Zapier AI
ChatGPT
Slack
Paperform
Workflows in production
What fails first
Initial unrestricted access caused governance issues.
Initial unrestricted access caused governance issues. Built centralized A-Team hub with AI Champions per department. Balancing open culture with safe building took 2 months.
Observed in: AI company culture — 75 workflows in 6 months, 1,000 hours saved · … · Operations
Started with Zapier.
Started with Zapier. Founders found it too limiting for multi-step logic: 'Zapier is really good if you do one-two steps, for very simple tasks' — Richard Lo, co-founder. Switched to n8n for complex conditional flows.
Observed in: Relocation startup — side project to six-figure business using full… · Operations
Initial automations created too many duplicate tasks — meeting AI a….
Initial automations created too many duplicate tasks — meeting AI and project manager both creating the same action item. Added deduplication logic and single source of truth for task creation.
Observed in: Zapier internal — 206,000 minutes of tasks eliminated with AI autom… · Operations
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