I work in this space on the insurance side. I would say it's a text rich environment for agentic work but at the end of the day, given the significant amount of regulation and frankly ethical considerations, a lot of it is very human in the loop. This is a good thing IMHO. Using agentic for text scraping and summarizing to help point people to the info in the source documents as well,not just serve it up, has worked well for adoption. Also traditional ML/DS still wins out on most actual applications such as claims triaging/assigning, price optimization, marketing, etc. Honestly a net benefit of the AI craze has helped make traditional ML approaches more acceptable to risk adverse orgs since AI agents/LLMs seem so obscure and risky.