Ontology is the real guardrail: How to stop AI agents from misund

The Story Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the inability of agents to truly understand business data, policies and processes. While we manage the integrations well with technologies like API management, model context protocol (MCP) and others, having agents truly understand the “meaning” of data in the context of a given businesis a different story.

Breaking It Down Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the inability of agents to truly understand business data, policies and processes. While we manage the integrations well with technologies like API management, model context protocol (MCP) and others, having agents truly understand the “meaning” of data in the context of a given businesis a different story. The details are still coming in, but here’s what matters: this story is part of a bigger trend we’ve been tracking. Whether it’s a flash in the pan or the start of something bigger remains to be seen.

Why It Matters Stories like this often fly under the radar, but they can signal shifts in how things work. We’ll keep an eye on developments.

What’s Next Stay tuned for updates as this story develops. Drop your thoughts below — we’d love to hear what you think.