When AI agents handle supply chain operations or financial trades, speed alone isn't enough—they need accountability. The real challenge isn't just executing faster, it's proving every step is correct.

That's where verification layers come in. By validating actions before they go through, autonomous systems can operate with guaranteed safety guardrails. Think of it as built-in confidence: each transaction, each decision gets checked before execution.

This changes the game for scaling. Once businesses have that verified autonomy, they can expand their AI operations without constantly second-guessing the system. It's the difference between experimental automation and production-grade autonomous infrastructure.