Opening Thoughts: Why "AI for Finance" Exists
The Core Problem: AI Hype vs. Real Impact
Every wave of technological change follows a familiar pattern. First comes the hype—big promises, bold predictions, and endless speculation about how a new technology will change everything. Then comes the reality—the long, often frustrating journey of figuring out how to actually implement it in a way that delivers real business impact.
AI is no different. The technology is evolving at breakneck speed, but the challenges of implementing AI in finance—securing adoption, proving ROI, and making it work at scale—are the same challenges we’ve faced in every major digital transformation effort.
According to BCG’s 2024 report Where’s the Value in AI?, 70% of AI implementation challenges stem from people and processes rather than technology itself. As the report states, "Too many lagging companies make the mistake of prioritizing the technical issues over the human ones." This reinforces what we’ve seen firsthand—AI’s potential isn’t limited by the technology, but by how well organizations adapt and integrate it into their existing structures.
Our Perspective: Lessons from Driving Change
We’ve spent years working at the intersection of finance, technology, and transformation, driving large-scale digital initiatives inside complex organizations. And if there’s one thing we’ve learned, it’s this:
Technology alone doesn’t create change—people do.
Rolling out a new forecasting tool, an automated reporting system, or an AI-powered finance workflow is never just about the technology. Success depends on alignment, process adaptation, and adoption by real users. It’s about bridging the gap between technical possibilities and business reality.
This is why AI for Finance exists—because we believe that simply knowing what AI can do isn’t enough. Finance leaders and teams need insights into how to actually make it work within the constraints, expectations, and realities of modern businesses.
Why This Site? Learning by Teaching
The best way to master something is to teach it. AI for Finance is our way of exploring, distilling, and sharing the most relevant insights about AI’s impact on financial strategy, operations, and decision-making. Our goal is to cut through the noise and focus on:
- Practical applications – Not just what’s possible, but what’s actually being used successfully.
- Lessons from real implementations – What works, what doesn’t, and why.
- Bridging the gap – Helping finance professionals navigate the messy reality between AI potential and business execution.
What to Expect
We’re not here to chase headlines or make grand predictions. AI for Finance is about real-world AI adoption—what it takes to make AI work in financial decision-making, automation, and operations across industries.
Expect:
- Curated news and trends in the field of AI for Finance
- Deep dives into AI-driven finance strategies and tools
- Case studies and best practices from real-world implementations
- A mix of human insight and AI-assisted research to bring you actionable, high-quality content
We’ve built AI for Finance to provide practical, experience-driven insights—our hope is that you’ll find them valuable in navigating AI’s impact on finance.