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Agents for financial services and insurance

anthropic.com

101–110 of 212 posts

Re: Agents for financial services and insurance

#101

Earlier quoted context omitted.

> and you won't get human support or Claude – even if you are an enterprise paying out of your nose. And there's 0 redressal unless you go viral on social media. Sadly this sounds like par for the course when it comes to tech. Too many messages and requests for help depend on knowing someone in the right slack groups.

Which is very confusing to me. If you have groundbreaking AI, you can offer groundbreaking support at scale.

Nope.

Customer support and safety are cost centers. It doesn’t scale like software does and no one’s KPIs are going to improve dramatically if you provide support beyond a point.

AI and LLMs are the cool tech, and the most important thing is to push the frontier. Money spent elsewhere is money not spent on R&D.

It would be hilarious if it wasn’t the GDPs of nations being spent on this.

Re: Agents for financial services and insurance

#102
post #51

Making the most convoluted and idiotic insurance process on earth and then delegating that process onto an AI that requires huge buzzing data centers.. Is there an option to respawn in the non-clown world universe? It was funny at first but it gets tiring eventually.

What does a better insurance process look like? Outside of health insurance, which is complicated for a variety of reasons, most insurance is pretty easy to procure. I got an umbrella policy recently and it took about 30 minutes of talking with an agent and answering pretty reasonable questions.

Re: Agents for financial services and insurance

#103
Does anyone else think "agents" are the wrong abstractions? Agents look like UI wrappers over LLM's - they are inherently not composable. Tailor made agents for UI's don't seem to scale. I predict they wont take off.

What I predict instead is that we will have a common UI layer plugin and a "protocol" than can speak to ui elements -- this might be more composable.

Re: Agents for financial services and insurance

#104
post #3

For those in the finance space, are you actually seeing any real AI tools being used? Like for actual operational tasks? I've really only seen it used for research / exploration thus far. Either for economic research slide deck or for exploring trading hypothesis

Pretty good as a dev with finance stakeholders. We have skills in place acting over our automated month closing and it was able to provide manual checks and flag issues, for example.

Nowhere near self sufficient tools though, just great to answer questions over the data that would usually take a few hours of custom scripting/excel. I wouldn't trust our stakeholders using AI directly either, being frank.

Re: Agents for financial services and insurance

#106
post #50

Earlier quoted context omitted.

the details are key here. there is plenty of automatable financial work, sure, but also when it comes to reporting finances/costs (formally or informally) and having a real human being be accountable for them, you REALLY need to trust that nothing is hallucinated. Any idea how they ensure this doesnt happen? As in, how can a user verify that the model did not touch any of the numbers and that it only built pipelines…

To be honest I am having a hard time remembering the last time a LLM hallucinated in our pipelines. Make mistakes, sure but not make things up. For a daily recon process this is a solved problem imo.

I see it hallucinate quite often in development but mostly in getting small details wrong that are automatically corrected by lint processes. Large scale hallucination seems better guarded but I also suspect it’s because latitude is constrained by context and harnesses like lint, type systems, as well as fine tuned tool flows in coding models to control for divergence. But I would classify making mistakes like variable names wrong or package naming or signatures wrong as hallucations.

Re: Agents for financial services and insurance

#107

Of course - finance is the best domain to depkiy a stochastic parrot which hallucinates and forgets stuff frequently and doesn’t follow your instructions - even with SOTA models. One where you need absolute accuracy and auditabikity. Why didn’t I think of that.

Because the l on your keyboard is broken?

Re: Agents for financial services and insurance

#109
post #8

Will the big labs leave anything for external competition? This probably killed a thousand startups in this space. in the early internet you wouldn't see google creating their own news site or facebook building their own animal farm. what happened to platformication of everything?

> Will the big labs leave anything for external competition? No, why would they if they have the choice? > what happened to platformication of everything? Business happened. The web works differently from how it used to. The users are different. LLM inference and AI tools is a different core product from search and ads. That, and we have the benefit of hindsight now. Maybe a Google newsroom would've actually been a g…

[deleted]

Re: Agents for financial services and insurance

#110
post #75

I don't trust these AI-only companies to be overnight experts in properly handling medical, financial and insurance data. They have no business providing these tools, unless they want to take all the risk too.

The only reason they are doing it is because there are regulation for people but not for machines.

My experience has been quite the opposite. Some bank processes remain oral traditions about clicking excel filters by hand because any code would have to be extensively documented and tested.
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