# AI Agents in Finance (perspective) * [x] Everyone’s talking about AI in finance. Here’s what I’m seeing on the ground. * [x] Short term: there are no silver bullets in finance unless we fix the basics. * [x] A chatbot summarizing emails or recording meetings isn’t transformation. * [x] Long term: the hype is real. The upside is enormous. * [x] Finance teams spend at least 40% of their time cleansing data. * [x] We can’t get perfect data overnight. We start with what you have. * [x] Focus on using agents to find anomalies and perform reconciliations. * [x] Today’s business cases have poor short-term ROIs. * [x] Team up with your business partners. Our challenges are similar. * [x] Compliance and Audit Committee approvals are hard. Find your best people to work on development before you move to production. * [x] Don’t let perfection be the enemy of the good. Just start. * [x] Give your teams access to the tools. Let them figure out where to focus. * [x] Prompting is the foundation. Run “***promptathons***” to let your best people roll and your new learners, learn. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://nexas-ridewiz.gitbook.io/lisaiceland/platform+/ai-knowledge+/ai-agents-in-finance-perspective.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.