The term Product-Market Fit (PMF) was apparently coined by venture capitalist Andy Rachleff in the 1990s. The term was further popularized by a 2007 blog post by Marc Andreessen. Now it is inescapable–everyone has PMF or is searching for it (see below).
In the old days, pre-2024, you knew you had product-market fit when customers spread the word about your product, inbound leads flowed freely, and usage soared among existing customers. Those metrics are still good indicators of PMF, but in this AI era I’m increasingly hearing from companies whose prospects simply say, “Take My Money.”
Take My Money
B2B software companies now use AI to rapidly deliver prospects an “aha” moment, after which they say, “Take my money.” Some examples:
Claude CoWork (Obviously)
I’m cheap when it comes to adding software subscriptions to my tiny “business”. I really only need WordPress, Mailchimp, QuickBooks Online, the Wall Street Journal (on discount), Bloomberg, and Zoom. (Even Zoom is no longer necessary, but I’m lazy.) I tested Claude in the fall of last year, then they introduced CoWork early this year, and I said, “Take my money.” I started with the $20-per-month account (which my nephew laughed knowingly at) and moved to the $100-per-month account without batting an eye. I’d be surprised if most small professional services firms aren’t using Claude soon, if they aren’t already.
Blue J (for my accountant)
My tax accountant uses SafeSend (Thomson Reuters), which helps me upload my tax documents for him to review. It has some nice features for my accountant, but on the taxpayer side, it is missing features one might expect. SafeSend may have product-market fit for accountants, but there was no “take my money” moment. My accountant bought it, but only after shopping around and thinking about it carefully. My accountant contrasted this sales cycle with Blue J Software’s. Blue J helps research tax law and suggests how to handle complex and potentially risky tax strategies. My accountant sat through the Blue J demo, which he usually delegates to others, and at the end, the salesperson asked, “Do you have any questions?” To which my accountant replied, “Where do I sign up?” For an accountant, this is the equivalent of “take my money”.
Quinn AI
The real inspiration for this blog post is an email my friend, Ken Stanick, CEO of Quinn AI, showed me from the CEO of a prospect who has been piloting Quinn’s product. The email title was simple: “Take my money”. The client had just saved $30k using Quinn in a single negotiation. The CEO just wanted to know where to send the check. That is product-market fit.
Getting to the Aha Moment Fast and High
I’m an investor and advisor to Quinn AI, so yes, I’m talking my book. But that is not the point of the post. The point is that if you use AI judiciously, you can change your sales cycle dramatically:
Provide quality output the first time
Quinn AI ingests client information, as many AI tools do, but it solves the data-readiness bottleneck many companies encounter when using AI for the first time. Quinn quickly consolidates data, transforms it, adds it to a proprietary KPI schema, and verifies it. As a result, when the client runs their first query, the result is impressive, not a “well that shows some promise, but it is going to take some work to fix”. It avoids the letdown. I had the same experience with Claude. I had played with AI for months and could see it progressing, but still saw the mistakes and hallucinations. Then last fall, I ran queries against Gemini, ChatGPT, and Claude simultaneously. Claude’s answer was head and shoulders more “thoughtful” than the other two. That’s when I finally said, “Take my money.”
Reduce Time to Aha
In the old days of enterprise software, if you had a little real data from a prospect, a painstakingly prepared demo might give you an aha moment. But the client’s true aha would have to wait until the software was installed on-premises, then slowly integrated with other systems. (I’m a dinosaur, I know). No one wants to sign up for a risky, long-term project like that anymore. By contrast, Quinn AI works its magic in about a week. No more promises, then worry about delivery. The pilot delivers the promise. This speed kills.
Sell Directly to the CEO
Quinn AI started with its own dashboard and chat. But the company quickly realized that some prospects already use Claude and other AI tools. These clients want to access their underlying systems, including Quinn, through the same chat interface via MCP. Forward-leaning CEOs are coming up to speed on this approach. With Quinn AI plus Claude, a CEO gets answers and insights on their own. No hierarchy, no filters, no more hiding bad news or sandbagging good news. No more apps to learn or dashboards to query. And finally, no more arguments about why finance has different data than sales (those ones used to really kill me!). Once the CEO sees this level of transparency and speed, they tend to say, “Take my money.” (Beyond faster sales processes, it’s clear AI will also lead to much flatter organizations!)
Product-Sales Process Fit
Companies in an industry have common problems. Software vendors have products that solve those problems. But the vendors and prospects still need to find each other. And once they meet, the vendor needs to find someone within the company with budget, authority, need, and a timeline (BANT). That person has to believe the product will solve the problem quickly and painlessly. This is when product-market fit goes from theoretical to real and actionable. AI helps create great products and new sales processes that drive fast, quality “aha” moments for high-level executives. That’s a recipe for growth.
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