Common AI Automation Mistakes—and How to Avoid Them

Typical failures include automating an unstable process, ignoring exceptions, skipping quality checks, exposing sensitive data and measuring activity instead of outcomes.

Fix the sequence

Document the current workflow first. Define the desired result, risks and acceptance criteria. Then automate the narrowest reliable step and measure it.

Keep the system maintainable

Document ownership, dependencies, failure handling and review frequency. An automation nobody can troubleshoot is a future operational liability.

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