Your APIs already work for developers. But AI agents are a completely different user. Here’s why the real work starts after the demo. If we already have APIs, are we ready for AI agents? The honest answer is: partly. If your product exposes useful actions through a solid API, you can usually get to a demo quickly. A model can call a tool, retrieve data, update a record, or trigger a workflow. That first proof of concept often looks simple. The hard part starts when agents act on behalf of real users in real customer environments. That is where delegated authority, tenant isolation, policy enforcement, observability, and failure handling become load-bearing concerns. Making endpoints callable is the easy part. Building the control layer around those calls is where the real engineering cost sits. The market pressure is real. Gartner predicts that by 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024.…