The Risks of Uncontrolled AI Automation
An AI workflow built for speed starts writing to production data without review. What can go wrong, and the controls that prevent it.
Not yet published · 6 min read · Applies to: Copilot Studio, Power Automate
Written by
- Godwin Apegba
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Scenario (hypothetical)
A team builds an agent that updates lead fields based on enrichment and AI summaries. It works well in testing, then runs on the full database with a prompt change nobody reviewed.
What can go wrong
- Bulk overwrites of human-entered data.
- Inconsistent values that break segmentation.
- No audit trail to reverse the changes.
Controls
Version prompts like code, write to staging fields first, cap batch sizes, and require approval for any change to production logic.
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