Quick Answer: What Are the Quick-Win Use Cases When Selling GenAI to Finance Leaders?
Finance professionals tend to be late to embrace emerging tech, and this is proving true for AI. A range of text-based, productivity-driven use cases in finance are feasible points of entry (“quick wins”) for GenAI product leaders to build confidence and trust that can accelerate the adoption curve.
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This Gartner® report highlights the disconnect between finance’s interest in AI and their current level of adoption. While finance leaders rank emerging tech as a top software differentiator, most haven’t moved past experimentation. Gartner recommends that vendors focus on “quick win” use cases that are easy to pilot, easy to buy, and show value fast
- Current levels of AI Use
- Comparing GenAI to Analytics AI
- The 24 Quick Win GenAI Use Cases in Finance
Whether you are an expert in AI or just starting your AI Journey, this article will provide insight as to what others are doing in this space. We believe Raindrop can be your trusted partner and we wanted to provide this research to help guide your journey.
Raindrop is AI-enabled by design, leveraging the power of AI to deliver real, tangible value — not empty hype. From AI ingestion for AP to GenAI Contract Management, Raindrop is guided by a clear set of founding principles. We prioritize transparency and security, ensuring our AI solutions are actionable, reliable, and built to empower
Gartner Disclaimer:
Gartner, Quick Answer: What Are the Quick-Win Use Cases When Selling GenAI to Finance Leaders?, By Garrett Astler, January 2024 GARTNER is a registered trademark and service mark, and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
