Moving Beyond the Chatbot: Governing Multi-Cloud AI Agents Without Breaking Your Architecture
The Monday Morning Reality Check Last month, a team I’m advising showed me their new 'Autonomous Procurement Agent.' On paper, it was brilliant: it would scan supply chain alerts in AWS, cross-reference them with inventory in an on-prem SAP instance, and then use an LLM in Azure to negotiate terms with vendors via email. It worked perfectly in the demo. Then we hit production reality. Within forty-eight hours, the agent had triggered three hundred unnecessary API calls because a vendor’s site was down, and it spent $400 in tokens trying to 're-negotiate' with a 404 error page. This is where we are in 2024 and 2025. We’ve moved past the 'shiny chatbot' phase. Enterprises are now trying to wire these LLMs into actual business logic. We’re calling them 'agents' now, but from an architectural perspective, they’re really just non-deterministic service-to-service integrations. The problem is that our traditional governance models—the ones we built for REST ...
