Great stuff. My favorite genre of writing about AI is seeing how it can be practically applied to non-tech jobs/businesses. Wish we had more of this.
I'm curious about the 60% automation of financial/forensic analysis - what's missing? Is it stuff that's purely blocked by model capabilities, or are there places where scaffolding is likely to bridge the gaps?
Also curious about the workflow - is this more individual, LLM-driven features or agentic workflows? Looked like the former from the product video but there wasn't a ton of UX shown there.
I ask largely because this seems like the sort of thing where you could really start to string these features together in such a way that you start with a description of the case and whatever files you have, and then an agent does its analysis of the docs, spins up action items (get missing docs, confirm that X ambiguous doc is what the AI characterized it as, etc.) and tracks the progress of all of them, leaving your forensic accountant there in a supervisory role, managing and providing expertise.
It feels like that's the way a lot of expert analysis jobs like this are headed. I've been working on the same sort of flow to use agents to manage my business. Started with LLM skills that could be used to handle tasks I used to do myself, and since then I've increasingly been having AI use those skills on its own without me invoking them and chain things together into full blown workflows. Some parts I'm still supervising closely, but others that have been working consistently for a while I now don't really watch unless Claude flags something for me to review on my dashboard.
recursivedoubts 31 minutes ago [-]
cool cool
submitting private information to LLMs w/no privacy guarantees is probably a crime btw
dvt 14 minutes ago [-]
I know it's a grey area, but I've started to really push back against this kind of low-effort reddit-style gotcha' posting on HN (especially on "Show HN" posts, which are meant to be—from what I've always understood—a safe space for creativity, entrepreneurship, and engineering). It used to be rare enough that we could just collectively ignore it, but it's been getting super bad in the last 2-3 years.
Also, your comment is just trivially unininteresting to begin with: what is "submitting," what is "private," what is a "privacy guarantee," what is a "crime"? It's just outrage slop. If you're a lawyer and have something substantive to say, please do so (and a lot of lawyers on HN do), but otherwise, Lincoln put it best: "Tis better to be silent and be thought a fool, than to speak and remove all doubt."
jakeydus 8 minutes ago [-]
I think OP's being hyperbolic, but defending an idea that is dangerous at worst and immature at best doesn't do much to forward creativity, entrepreneurship, or engineering. Engineers who build products that put people (or their data) in danger are bad engineers. We need to hold one another to a higher standard.
dvt 2 minutes ago [-]
> doesn't do much to forward creativity, entrepreneurship, or engineering
Who are you (or who am I) to decide that? The entire point of a show HN is to be non-judgmental and charitable, otherwise it's just going to turn into a cynical echo-chamber. The famous Dropbox comment is a cautionary tale for a reason.
micromacrofoot 25 minutes ago [-]
yeah OP needs to self-host their models or this is a box of pain
Ancalagon 16 minutes ago [-]
Where's the breakdown of these stats? What does it mean that 60% `Forensic Analysis` can be automated with AI? Are these per hour? Its also telling that each of the automated percentiles are rounded to the nearest 10%.
dec0dedab0de 39 minutes ago [-]
Next week we're going to have prompt injections via ledger
whatevaa 31 minutes ago [-]
Now that would be funny
giancarlostoro 8 minutes ago [-]
"How I got the IRS to give me back all the money I ever gave them via prompt injection"
jakeydus 16 minutes ago [-]
Why is it that every "I built a cool AI tool" author shared on this site can't be bothered to write the article themselves? I'd be more likely to give credence to how great your slop is if you were at least invested enough to write the dang article yourself.
Here is my hot take. AI is going to replace some developers (not all) and the first ones it replaces will be the ones who can't code without it. The developer in this story provided a relationship with a forensic accountant, a few discussions with paralegals, and limited guidance to an agent. The agent did literally everything else, including writing the article!
geoffmunn 4 minutes ago [-]
The topic and content was genuinely interesting, but it read like an annoying LinkedIn promotional article with all the short punchy sentences.
q3k 3 minutes ago [-]
> Why is it that every "I built a cool AI tool" author shared on this site can't be bothered to write the article themselves?
Because most AI hypers have extremely low standards for any form of text - be it code or prose. If one is to believe code doesn't matter, then why would would prose matter either?
coreyp_1 3 hours ago [-]
Nice. I have a friend who is a young accountant. I have tried to get him to consider AI, but he claims that they tried it and it's not that good. I've tried to get him to understand that AI has improved dramatically in the last few months, not to mention the last few years (their point of reference, I believe).
freediddy 14 minutes ago [-]
I know a lot of accountants. One is a chief accounting officer at a medium-sized tech company and she has already replaced about 5 people in her org with AI. She says she sees a lot of low hanging fruit in finance that will be replaced by AI at her company, by her specifically. I know another partner at Big 4 that is going heavy into AI usage as well. The idea that AI isn't good in finance and accounting is a myth.
deadlycow 1 hours ago [-]
Is this for any kind of accountant or only forensic?
piterrro 2 hours ago [-]
What is the document recognition stack you used?
Ozzie-D 2 minutes ago [-]
[dead]
dsewell2707 21 minutes ago [-]
[flagged]
aaronblohowiak 41 minutes ago [-]
[dead]
Rendered at 19:24:20 GMT+0000 (Coordinated Universal Time) with Vercel.
1. https://news.ycombinator.com/showhn.html
I'm curious about the 60% automation of financial/forensic analysis - what's missing? Is it stuff that's purely blocked by model capabilities, or are there places where scaffolding is likely to bridge the gaps?
Also curious about the workflow - is this more individual, LLM-driven features or agentic workflows? Looked like the former from the product video but there wasn't a ton of UX shown there.
I ask largely because this seems like the sort of thing where you could really start to string these features together in such a way that you start with a description of the case and whatever files you have, and then an agent does its analysis of the docs, spins up action items (get missing docs, confirm that X ambiguous doc is what the AI characterized it as, etc.) and tracks the progress of all of them, leaving your forensic accountant there in a supervisory role, managing and providing expertise.
It feels like that's the way a lot of expert analysis jobs like this are headed. I've been working on the same sort of flow to use agents to manage my business. Started with LLM skills that could be used to handle tasks I used to do myself, and since then I've increasingly been having AI use those skills on its own without me invoking them and chain things together into full blown workflows. Some parts I'm still supervising closely, but others that have been working consistently for a while I now don't really watch unless Claude flags something for me to review on my dashboard.
submitting private information to LLMs w/no privacy guarantees is probably a crime btw
Also, your comment is just trivially unininteresting to begin with: what is "submitting," what is "private," what is a "privacy guarantee," what is a "crime"? It's just outrage slop. If you're a lawyer and have something substantive to say, please do so (and a lot of lawyers on HN do), but otherwise, Lincoln put it best: "Tis better to be silent and be thought a fool, than to speak and remove all doubt."
Who are you (or who am I) to decide that? The entire point of a show HN is to be non-judgmental and charitable, otherwise it's just going to turn into a cynical echo-chamber. The famous Dropbox comment is a cautionary tale for a reason.
Here is my hot take. AI is going to replace some developers (not all) and the first ones it replaces will be the ones who can't code without it. The developer in this story provided a relationship with a forensic accountant, a few discussions with paralegals, and limited guidance to an agent. The agent did literally everything else, including writing the article!
Because most AI hypers have extremely low standards for any form of text - be it code or prose. If one is to believe code doesn't matter, then why would would prose matter either?