I still remember the deal. A few years back, we were in the final stages of an acquisition. The spreadsheets were perfect, the presentations polished. We thought we had everything covered. Then, a week before closing, we discovered a huge liability that our due diligence had completely missed. The deal fell apart. Millions of dollars, and months of work, down the drain. All because of human error.
That experience taught me a hard lesson: the old way of doing corporate finance is broken. It’s too slow, too manual, and too prone to mistakes. But I’ve noticed that the world of corporate finance is being quietly transformed by AI. I’m not talking about killer robots taking over Wall Street. I’m talking about practical tools that are helping us make smarter, faster, and more accurate financial decisions. In this article, I’ll show you how AI is being used to automate and improve everything from financial planning and analysis to M&A due diligence. This isn’t some futuristic fantasy; it’s happening right now.
The Old Way vs. The New Way
Look, I get it. For decades, corporate finance has run on Excel and intuition. We’ve all been there, hunched over a spreadsheet at 2 a.m., trying to make sense of a mountain of data. We’d build complex models, run a few scenarios, and then make a gut decision. It was more art than science. And for a long time, that was good enough.
But the world has changed. The sheer volume and complexity of financial data we have to deal with today is staggering. A single company can generate more data in a day than a whole industry did a decade ago. Trying to analyze all of that with a spreadsheet is like trying to drink from a firehose. It’s just not possible. The new way is about using AI to do the heavy lifting. AI can sift through massive datasets in seconds, identify patterns that a human would never see, and run thousands of simulations to predict future outcomes. It’s like having a team of super-smart analysts working for you 24/7.
Real-World Applications
This isn’t just theory. I’ve seen firsthand how AI is changing the game in corporate finance. Here are a few examples from my own experience as an investor and entrepreneur.
M&A Analysis
Remember that deal I told you about? The one that fell apart at the last minute? I’m convinced that if we had been using AI, we would have caught that liability. Today, there are AI-powered tools that can analyze a target company’s financials, contracts, and even their emails to identify potential risks and opportunities. It’s like having X-ray vision for due diligence. I’ve invested in over 200 companies, including some big names like Anthropic and OpenAI, and I can tell you that the M&A process is one of the most critical and riskiest parts of the business. Anything that can de-risk that process is a huge win. For more on this, you can read my post on how to build a great team.
Capital Budgeting
When I was starting RemoteTeam, which was later acquired by Gusto, one of the biggest challenges we faced was deciding where to invest our limited capital. Should we hire more engineers? Spend more on marketing? Open a new office? These are tough decisions, and if you get them wrong, you can kill your company. AI is making these decisions a lot easier. With AI, you can model different investment scenarios and see which ones are likely to generate the best return. It’s not a crystal ball, but it’s a lot better than just guessing. This is especially important for startups that are trying to raise money. Investors want to see that you have a clear plan for how you’re going to use their money, and AI can help you build that plan.
Risk Management
Every business faces risks. Market risks, credit risks, operational risks, you name it. The key is to identify those risks before they become problems. That’s where AI comes in. AI algorithms can monitor your financial data in real-time and alert you to any anomalies. For example, it can detect fraudulent transactions, predict when a customer is likely to default on a loan, or even forecast the impact of a natural disaster on your supply chain. At RemoteTeam, we were dealing with customers all over the world, so we had to be very careful about fraud. We built our own internal tools to help us detect and prevent it, but today there are off-the-shelf AI solutions that can do it even better.
Algorithmic Trading
This is probably the most well-known application of AI in finance. Hedge funds and investment banks have been using algorithms to trade stocks for years. But what’s new is that AI is making algorithmic trading accessible to everyone. There are now platforms that allow individual investors to build and deploy their own trading bots. I’m not saying you should go out and quit your day job to become a day trader. But it’s an interesting development, and it shows how AI is democratizing finance. You can read more about my investment philosophy in my post on my angel investing journey.
My “Aha!” Moment
I have to admit, I was a bit of a skeptic at first. I’d seen too many AI-powered “solutions” that were just smoke and mirrors. But then I had my “aha!” moment. I was looking at a pitch from a startup that was using AI to analyze customer sentiment. They were scraping social media, news articles, and product reviews to understand what people were saying about a particular brand. And they were able to predict, with surprising accuracy, how that brand’s stock was going to perform. That’s when I realized that AI wasn’t just about automating old processes. It was about creating entirely new ways of understanding the world.
The Human Element
Now, you might be thinking, “So, are we all going to be replaced by robots?” The answer is no. At least, not anytime soon. AI is a powerful tool, but it’s still just a tool. It can’t replace human intuition, creativity, or judgment. A machine can tell you what the data says, but it can’t tell you what it means. It can’t understand the nuances of a negotiation, or the culture of a company, or the emotions of a customer. That’s where we, the humans, come in. Our job is to take the insights that AI gives us and use them to make better decisions. It’s a partnership. A collaboration. And I, for one, am excited to see what we can achieve together.
The Future is Not What You Think
So, what’s next? I’m not going to give you some generic platitude about how the future is bright. The future is messy. It’s unpredictable. And it’s going to be a wild ride. But I will make one prediction: in the next five years, every company with a finance department will be using AI in some form or another. It won’t be an option. It will be a necessity. The companies that embrace this change will thrive. The ones that don’t will be left behind. The question is, which side of that line do you want to be on?
Frequently Asked Questions
What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.