Do you enjoy using any of those systems? Do you want the world to be that way?
Though we’ve had a few incidents where employees have submitted AI-generated receipts for reimbursement which is another issue..
As a business, you've also got to remember that employees are much more likely to complain if the 'agent' or any other form of automation errs by denying their claim or underpaying than the reverse. Depending on the scale of expenses and how likely you are to be audited, the cost of the odd mistake might be more or less than the cost of doing it manually.
The system is currently using a simple app to submit expenses and any issues gets a simple human chat request and a call if requested.
They try to avoid kicking anything back and if they do they make sure it’s reviewed first to make sure that it’s needed and to make sure the reason is understood.
Our company is also very large so I’m not sure how they manage but they do. People rave about the process instead of hating it.
I'm in that space so naturally interested in what people are up to :)
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.
I’d put money behind what I say, would you?
For research and theses evaluations, we're observing that firms - of names we all know - are bullish and even eager to try AI products.
Regarding automated asset management and the likes, indeed there's much more apprehension.
> I've really only seen it used for research / exploration thus far
Summaries and translation for sure.
Speaking with devs in the field I know that AI tools are used to summarize and extract data from... PDFs. Now, thankfully, LLMs got better at answering "How many 'r' in 'strawberry" and it looks like they're good enough for summarizing PDFs and extracting key numbers but I'd still be cautious.
And I've got a friend who's a translator specifically for financial documents: she's a contractor and getting about 1/10th of the work (and 1/10th of the pay) she used to have for now she's only tasked to verify that the translations are correct. Of course she already had lots of tools, way before he LLM era, automating some of her work but she was still billing he use of those tools. Now LLMs are doing nearly all the work and not "for her": it's happening upstream and she only gets the output of the LLMs and has to verify them. And there aren't that many errors.
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