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 for them.
what I've been telling my CFO who wants to get AI involved in things is that for a lot of accounting and finance work "Trust but verify" doesnt work because verify is often the same process as doing the work.
> Any idea how they ensure this doesnt happen?
Build a deterministic query set and automate it for monthly or daily reporting reconcilliation.
Leave AI out of it.
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.
The "real humans" doing the tasks being replaced are overworked kids less than 2yrs out of college on an average of 4hrs of sleep at working at 3am. If the AI makes their jobs take half as much time I bet they're a lot more likely to catch errors (and live longer).