Related: A pharmacy chain in Vermont implemented AI for efficiency (11 days ago, 40 points) https://news.ycombinator.com/item?id=49105190

> Marraffa says Burt is fully HIPAA compliant and that the AI is not open-source and does not generate or manipulate data.

We need to fight the talking point that open source is bad!

Companies will pawn off thier customers to AI at their peril.

In many ways this is a repeat of the India call center train wrecks of the 00s. On paper, letting someone in Bangalore vs onshore handle incoming customer service calls looked like a path to amazing savings. In practice the customer experience was horrendous and companies CTRL-Zed these decisions and rapidly brought customer service back onshore again. AI is just that story of shortsighted decisions by weak leadership playing out all over again.

I think of this as the kiosk economy. It's like how businesses introduce kiosks even when having a human employee would be more convenient, just for the sake of greater profit.

The biggest problem with AI customer service is that a human employee would've let a minor issue slide without escalating it. But a chatbot often inflames the situation, and by the time the customer reaches a human agent, they're already furious.

Most people aren't rational or logical. Non verbal feedback, like acknowledging someone's anger and showing empathy, is incredibly important.

It's interesting that I had to close 3 popups just to read this article, two of them were for tracking cookies

if you've tried to legitimately productionize LLMs to deliver a specific repeatable outcome, rather than human editable output(text, code), you know the models still aren't there yet and the whole product experience feels hacky

As someone who's been doing AI call centres for a while, I'm not surprised. It's really, really hard to build voice AI that works. There are no open source solutions that work out of the box.

But the biggest problem is ASR. WER is still atrocious even with SOTA models. When you add drug names and regional accents, it's a recipe for disaster.

The desired speed of AI adoption is what is hindering AI adoption. Big companies are trying to sell this as magic, and it's not. It requires proper use to get anything useful out of this system. But that takes away the magic of it and the investors can't have that as the eventual share price only works if it is magic. Frontier labs will smother their product with their timelines.

It's important to note while people are pumping the AI bubble that a near-moron with a checklist can do this job. They replaced AI with a regular old phone tree.

AI couldn't do this job with a checklist. It would forget the entire checklist after two responses, then get fixated on the words that the customer used to complain about how dumb the AI was and loop until they hung up and called back to hopefully clear the context.

edit: Unless Kinney had been sold a product that used caller ID to carry over context, then the customer's best chances would be to scream "Agent!" over and over again (to get put on hold for 45 minutes, then transferred to the most screamed-at Philippine minimum-wage gig worker on the planet), or to show up to the drugstore and start screaming at people.

Pharmacy phone lines are a terrible first use case for voice AI. Older callers, drug names, insurance mess, zero patience. Automating "store hours" is fine. Automating refill exceptions is how you get this outcome.

So - I run a company that does AI agents for pharmacy. We are at Series B now and growing well - series C in 9-12 months given growth. We just acquired a competitor of that vendor so very much an insider.

First, The technology works, and it scales, but the whole bottleneck is domain expertise and implementation. These are expensive, and hard to scale. We hire pharmacists as project managers, that's how important domain expertise and implementations are.

Second, the amount of noise of "Voice AI for <industry>" is incredible. Most of them are completely clueless about the industry & basically "YC-striver" type who can only sell to other yc companies. They fail hard the moment they touch critical functions of the real world.

We have hundreds of pharmacies with us now and they mostly successful and happy. Our biggest friction is customers being burned by vendors like this and writing off AI altogether as "not ready".

This is my favorite AI customer service story:

https://arstechnica.com/tech-policy/2024/02/air-canada-must-...

> Air Canada essentially argued that “the chatbot is a separate legal entity that is responsible for its own actions”