Sep 10, 2026 · 15 min · 9 segments
In this episode of "Full Tech Ahead," host Amanda Razani interviews Federico Ramallo, Founder and CEO of Density Labs. They examine the realities of AI engineering, focusing on business outcomes and…
Federico RamalloGuestAmanda RazaniHostSo let's start with the fact, though, that roughly 95% of enterprise AI pilots never reach production.
The main reason is that they test the demo with the best case scenario, and then they don't consider all the use cases.
The other issue that is happening is that even though AI is a technology tool, it is actually an organizational change.
A lot of companies don't see it that way, and that's the underlying reason or the root cause of why these type of projects fail.
And the last issue that I've seen is that because you have so many different possibilities of outcomes or use cases, what we start doing is setting up a model that evaluates another model That way we reduce that complexity towards expected outcomes, expected behaviors.
And then we set guardrails to avoid that, right? But basically that issue, that is the core issue is that it becomes unwindingly complex when you have so many use cases and you don't have a way to track that the outcome is what you actually expect.
So let's start with the fact, though, that roughly 95% of enterprise AI pilots never reach production.
The main reason is that they test the demo with the best case scenario, and then they don't consider all the use cases.
The other issue that is happening is that even though AI is a technology tool, it is actually an organizational change.
A lot of companies don't see it that way, and that's the underlying reason or the root cause of why these type of projects fail.
And the last issue that I've seen is that because you have so many different possibilities of outcomes or use cases, what we start doing is setting up a model that evaluates another model That way we reduce that complexity towards expected outcomes, expected behaviors.
And then we set guardrails to avoid that, right? But basically that issue, that is the core issue is that it becomes unwindingly complex when you have so many use cases and you don't have a way to track that the outcome is what you actually expect.
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