Many organizations are reflexively applying agentic AI to workflows without considering alternatives, leading to increased complexity and costs. The core issue is a bias toward autonomy, which often results in slower, harder-to-audit systems compared to simpler solutions like rules engines or traditional automation. To mitigate this, enterprises should prioritize deterministic processes first and only introduce agents when dealing with ambiguous inputs or complex reasoning scenarios requiring human oversight – always considering the risk, reversibility, business impact, and confidence levels involved.
Read the full article at Towards AI - Medium
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