Implementing human oversight in AI workflows mitigates risks by ensuring critical decisions are reviewed without slowing automation. Key patterns include chat approval, tool call gates, and multi-channel review to facilitate effective human-in-the-loop processes. These strategies enhance reliability by inserting review points for high-stakes actions, irreversible tasks, or ambiguous inputs, balancing oversight with efficiency.
