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If you've been around long enough to remember when iPaaS was the answer to everything, you know the pattern. New paradigms arrive. Someone realizes that wiring it into existing infrastructure is harder than the demos suggested. An integration layer gets built. That layer slowly becomes load-bearing. Eventually, the integration layer becomes the bottleneck. We're at that moment again — except this time, the new paradigm is agentic AI, and the bottleneck is forming faster than usual.

You swapped in a better model. You fine-tuned it. You threw more tokens at the problem. And still — your agents hallucinate, break under load, and deliver answers that were accurate about three hours ago. The model isn't the problem. Gartner recently flagged that up to 40% of enterprise agentic AI initiatives are at risk of failure. Executives see that number and immediately audit their LLM provider. Their infrastructure team. Their prompts.

You've diagnosed the problem. Your agentic AI initiatives are stalling — not because the models are wrong, but because the integration layer underneath them wasn't built for this. Batch data, rigid schemas, fragmented governance, no real-time event delivery. Now the question is: what do you actually build, and how do you build it without tearing down the infrastructure you already have?

The new Konnect Dev Portal Toolkit extension for Visual Studio Code gives you a live, portal-accurate preview of your content right beside the file you are editing. You watch a page take shape exactly as it will appear to your developers, as you type, without ever leaving your local editor.

*You wouldn't expose a REST API without a gateway. What about Kafka?* You would never expose a REST API without an API gateway in front of it. Authentication, rate limiting, observability, access control — these aren't optional extras. They're mandatory, and we've spent the last decade building the API gateway pattern to solve exactly this problem. So here's the question worth sitting with: would you expose Kafka or any event stream without a gateway?

If you've been following the agentic AI wave, you've probably noticed that the conversation tends to center on the agents themselves: which LLM to use, which orchestration framework to pick, which use cases to tackle first. But a growing body of analyst research is pointing to a different bottleneck, one that's hiding in plain sight: integration. Forrester's David Mooter argues that integration must sit at the center of your AI strategy — not as plumbing, but as a strategic capability.