A great use-case for AI in finance is in the Accounts Receivable, specifically automating collections and answers to billing queries in the finance-inbox. We receive hundreds of invoice queries every week, and automated most with a vendor called Paraglide AI. There are also some use-cases in AP in invoice processing where agents are better than traditional OCR.
Great framing on the Uber valuation disaster! The $20 trillion number is a perfect reminder that AI's biggest risk in finance isnt being wrong, its being confidently wrong in ways that look plausible at first glance. The "no black boxes" rule is critical, I've seen too many teams adopt AI tools without understanding the logic layer. The self-service Q&A use case seems like the easiest win, frees up FP&A from repetitive reporting requests so they can focus on actual strategic analysis.
A great use-case for AI in finance is in the Accounts Receivable, specifically automating collections and answers to billing queries in the finance-inbox. We receive hundreds of invoice queries every week, and automated most with a vendor called Paraglide AI. There are also some use-cases in AP in invoice processing where agents are better than traditional OCR.
Great to see some practical use cases that survive contact with real life
Great framing on the Uber valuation disaster! The $20 trillion number is a perfect reminder that AI's biggest risk in finance isnt being wrong, its being confidently wrong in ways that look plausible at first glance. The "no black boxes" rule is critical, I've seen too many teams adopt AI tools without understanding the logic layer. The self-service Q&A use case seems like the easiest win, frees up FP&A from repetitive reporting requests so they can focus on actual strategic analysis.
Can’t be depicted more accurately! Read our blog about Top 5 Use Cases of Automated Financial Reporting in Modern Enterprises to know more: https://iriscarbon.com/blog/top-5-use-cases-automated-financial-reporting/