Is generative AI really useful in finance?

[povorica]

Everyone talks about generative AI, but I'm not sure how useful it actually is in financial services. Is it something practical or more experimental?

[Olivia96525]

At first, it does sound like another trend, especially with how often the term gets mentioned. But when you think about the nature of financial services — constant data processing, reporting, analysis — it starts to make more sense. These are areas where automation can actually bring measurable improvements.

[weranico]

Looking deeper into how things are evolving, especially around generative AI in financial services, it becomes clear that the value isn't just in automation, but in how quickly insights can be generated. Instead of spending hours analyzing data manually, systems can assist in identifying patterns and producing structured outputs much faster. Over time, this doesn't just save time — it changes how decisions are made, making processes more responsive and less dependent on manual effort.

[vatoros]

I think it's actually more practical than people realize—especially in financial services for things like fraud detection, document processing, and customer support. It's less "experimental" now and more embedded in real workflows.

It reminds me of how even outside AI, timing and automation matter in serious processes too. For example, when dealing with international documentation, people often ask how long does it take to get apostille because delays can really affect financial or business plans. When planning international paperwork, the short answer is about 10 business days with expedited service, but mail can take 2–3 months depending on backlog. So both AI and admin processes really come down to efficiency and reducing waiting time.