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As the shift to using AI agents accelerates, we are seeing a new category of security risk emerge, one that most organizations are not actively defending from. AI agents don’t fail loudly. By the time you notice, it’s too late.

The more sophisticated AI coding tools become, the more valuable experienced developers are. Why? Because the gap between "code that runs" and "code that scales, maintains, and secures your business" just got wider. AI does the first part brilliantly. But the second part? It still requires human judgment, context, and experience.

Why enterprise teams stall when they scale by headcount, not outcomes, and how an engineering partner model replaces body shopping with faster delivery, lower overhead, and teams built for real ownership.

This extensive article dives deeply into the business process automation landscape; we have compiled insightful stats and facts about adoption across industries, challenges, and future developments. Read on to stay ahead in the automation game!