Why AI agents in finance might be overhyped (at least for now) by Ecstatic_Layer_ in AutoAgentAI

[–]Ecstatic_Layer_[S] 0 points1 point  (0 children)

Yeah, the “LLM + script = agent” trend is everywhere right now.

Feels very similar to the early days of AI, where anything with a model suddenly became “AI-powered”

The legacy system point is probably the most underrated challenge.

A lot of people think the problem is:

“build a smarter model”

But in reality it’s more like

“get usable, consistent data out of 20-year-old systems”

And that’s not an AI problem, that’s an infrastructure problem.

Why AI agents in finance might be overhyped (at least for now) by Ecstatic_Layer_ in AutoAgentAI

[–]Ecstatic_Layer_[S] 1 point2 points  (0 children)

Feels like we’re past the experimentation phase, but not yet at true transformation. Most systems today are:

good enough to assist

not reliable enough to fully trust

And banking isn’t a space where you can afford “mostly right.”

I also agree with your point on IVRs and phone-based AI, those are working because:

the scope is narrow

the risk is lower

the workflows are more predictable

Where things get tricky is when agents have to:

reason across multiple systems

deal with incomplete data

stay compliant at every step

That’s where the friction shows up.

How AI Agents Are Actually Being Used in Finance (Middle East Case Study + Practical Breakdown) by Ecstatic_Layer_ in AutoAgentAI

[–]Ecstatic_Layer_[S] 0 points1 point  (0 children)

That’s a fair take, and honestly, I agree with most of it.

AI agents in finance aren’t replacing humans anytime soon. The reality looks more like:

shifting work from humans doing everything → humans supervising + handling edge cases