AI Agents Are Lost

So, you know how everyone’s been hyping up AI agents to revolutionize business processes? Yeah, about that… it’s giving major ‘we thought we had this’ vibes.

The Tea ☕

They really said ‘hold my coffee’ and invested billions of dollars in AI agents and infrastructure, but it turns out, these agents are struggling to understand business data, policies, and processes. Like, they can’t even get the ‘meaning’ of data right, and it’s a whole thing.

While we’re managing integrations well with tech like API management and model context protocol (MCP), having agents actually comprehend the context of a given business is a different story (yes, really). It’s like, we’re trying to get them to understand the assignment, but they’re just not getting it.

Why This Matters (Or Doesn’t) 👀

This is lowkey a whole thing, and I’m not okay. If AI agents can’t even understand the basics, how are they supposed to transform business processes? It’s like, we’re putting the cart before the horse, and it’s not a good look.

The people who actually know things are saying that ontology is the real guardrail here - it’s the key to helping AI agents understand the ‘meaning’ of data. But, like, who even knew that was a thing?

The Vibe Check 💅

So, what’s the vibe here? Well, it’s giving ‘back to the drawing board’ energy. We need to get our AI agents to understand the tea, and that means investing in ontology (no cap).

It’s not just about throwing money at the problem; it’s about actually solving it.

And, honestly, it’s a bit sus that we didn’t see this coming. But, hey, at least we’re having this conversation now, and that’s a valid start.

Anyway, that’s the tea on AI agents and their struggles to understand business data. It’s a wild ride, but someone’s gotta keep it real.