VCs Advise: Sell Transformation, Not Software
Top VCs on The Full Ratchet podcast argue that the best founders sell transformation, not just software. Maitha Agarwal highlighted a founder who succeeded by showing conservative customers how AI improves their work rather than replacing them. The key is framing AI as an enabler, not a threat.
Maitha Agarwal, now a General Partner at Defy.vc, previously honed her investment acumen at Redpoint and Bessemer, and even co-founded two of her own companies, Roomidex and skedge.me, before her venture career. This experience as both a founder and an investor informs her perspective on the necessity of a go-to-market strategy that emphasizes tangible results over technical features. The shift to selling transformation is driving a change in pricing models for AI companies. Instead of traditional SaaS seat-based licenses, companies are increasingly adopting usage-based and hybrid models. This allows startups to align their revenue directly with the value they create for customers, a strategy that resonates in a market wary of large, upfront software costs. A key tactic in this approach is to target a company's labor budget rather than its software or IT budget. By demonstrating a clear return on investment through automating or augmenting specific job functions, startups can justify a pricing model based on outcomes, such as tasks completed or efficiencies gained. This reframes the product from a discretionary software purchase to an essential operational investment. Defy.vc portfolio company Synthpop exemplifies this strategy by charging healthcare clients on a per-task-automated basis. This directly links their charges to the labor savings their customers achieve, making the value proposition clear and compelling, especially in industries facing labor shortages. This outcome-based pricing model is becoming a significant differentiator for AI startups. It forces a deep understanding of customer workflows and pain points, leading to a more consultative sales process. Rather than simply pitching software, founders are co-creating solutions and demonstrating their impact on key business metrics from the initial conversation. Investors are increasingly looking for this focus on measurable value in their AI investments. Startups that can clearly articulate their impact on a customer's bottom line through metrics like cost reduction or revenue lift are better positioned for funding. This is because a clear ROI helps to de-risk the investment and signals a strong product-market fit.
