Instead of the typical land-and-expand model, Templify aimed for company-wide rollouts from the start. This created immense stickiness and gave them an 'unfair advantage' to work from inside the organization, growing revenue by going deeper with specific teams after the initial wide deployment.

Unlike typical software companies that build addictive products or simply fulfill requests, Palantir's approach is to anticipate and build what its partners *ought* to want in the future. This radical, value-driven strategy builds deep trust and creates an indispensable long-term position with the client.

Instead of immediately pitching your product, act as a consultant and help clients maximize value from their existing tools. This selfless approach builds deep trust, positioning you as a true partner and ensuring they come to you for future purchases.

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.

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.

Instead of pitching a future product, identify an enterprise champion's urgent, blocked project. Deliver the solution manually as a service first (e.g., a PDF report). This validates demand, generates revenue, and is a common path in enterprise software.

An unnamed founder successfully sells AI by acting as a consultant. They focus on showing customers how AI improves their job and increases bandwidth, rather than just selling software features. This approach alleviates fears of job loss and loss of control, which is crucial for adoption in conservative industries.

Moonshot AI's CEO effectively sells his product by "vision casting"—framing it not as an e-commerce tool but as a partner that enables businesses to thrive. This focus on the ultimate outcome, rather than product features, resonates deeply with customers and powerfully articulates the value of a complex AI solution.

Enterprises are comfortable buying services. Sell a service engagement first, powered by your technology on the back end, to get your foot in the door. This builds trust and bypasses procurement hurdles associated with new software. Later, you can transition them to a SaaS product model.