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.
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%.
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 and entrepreneurship). 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."
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!
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).
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.
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.
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%.
cool cool
submitting private information to LLMs w/no privacy guarantees is probably a crime btw
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 and entrepreneurship). 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."
yeah OP needs to self-host their models or this is a box of pain
Next week we're going to have prompt injections via ledger
Now that would be funny
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!
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).
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.
Is this for any kind of accountant or only forensic?
What is the document recognition stack you used?