Large enterprises don't buy point solutions; they invest in a long-term platform vision. To succeed, build an extensible platform from day one, but lead with a specific, high-value use case as the entry point. This foundational architecture cannot be retrofitted later.
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Platform value isn't developer efficiency. It's enabling developers to build features that solve end-customer problems and drive business outcomes like retention. The platform PM must connect their work across this two-step chain to secure investment.
Startups often fail to displace incumbents because they become successful 'point solutions' and get acquired. The harder path to a much larger outcome is to build the entire integrated stack from the start, but initially serve a simpler, down-market customer segment before moving up.
Most SaaS startups begin with SMBs for faster sales cycles. Nexla did the opposite, targeting complex enterprise problems from day one. This forced them to build a deeply capable platform that could later be simplified for smaller customers, rather than trying to scale up an SMB solution.
Square's product development is guided by the principle that "a seller should never outgrow Square." This forces them to build a platform that serves businesses from their first sale at a farmer's market all the way to operating in a large stadium, continuously adding capabilities to manage growing complexity.
Enterprise leaders aren't motivated by solving small, specific problems. Founders succeed by "vision casting"—selling a future state or opportunity that gives the buyer a competitive edge ("alpha"). This excites them enough to champion a deal internally.
Verkada sold its entire cloud platform not on a daily feature, but on the 'magic' of texting a live camera link. This simple action showcased the platform's modern capabilities in a way legacy systems couldn't, creating an unforgettable 'aha' moment that made the entire value proposition click for buyers.
Instead of building a single-purpose application (first-order thinking), successful AI product strategy involves creating platforms that enable users to build their own solutions (second-order thinking). This approach targets a much larger opportunity by empowering users to create custom workflows.
To create transformational enterprise solutions, focus on the core problems of the key buyers, not just the feature requests of technical users. For healthcare payers, this meant solving strategic issues like care management and risk management, which led to stickier, higher-value products than simply delivering another tool.
