While incumbents sell roadmaps, startups can collapse enterprise sales cycles by demonstrating a fully functional product that is provably better *today*. Showing a live, superior solution turns a year-long procurement process into a 60-day sprint for motivated buyers.

Sales leader John McMahon explains that while perpetual licenses offered years to fix issues, today's consumption-based models can see customers churn in a week if they don't see immediate value. This demands an intense focus on rapid value realization.

Traditional SaaS is obsolete. According to Tan, companies must now adopt an "agentic" approach, using AI to radically compress decision-making and development cycles from months to hours. Those that fail to embrace this new paradigm will be outcompeted.

AI company Sierra uses an outcomes-based model, charging clients only for successful resolutions. CEO Bret Taylor explains this forces his team to prioritize rapid, effective deployment ("go-live process") over traditional sales cycles, as revenue is directly tied to customer value, not software licenses.

High-ROI AI products are changing B2B buyer expectations. The old model of signing a contract before a long, uncertain implementation is dying. The new standard, which even Salesforce's CEO envies, is for customers to go live and experience the product's value *before* committing to a purchase.

The traditional per-seat SaaS model is becoming a "tax on productivity" in an agent-driven world. As companies buy agents to do work instead of software for humans, the model shifts. Sam Altman's comment that every company is now an API company reflects this move from user-based pricing to value-based, programmatic access.

With SaaS, a lack of value might not be exposed until renewal. With consumption, customers can "turn the light switch off" instantly, forcing vendors to prove their worth continuously and re-earn the business every day.

Simply adding a generative AI co-pilot is now table stakes for SaaS companies. The founder argues the next evolution is 'agentic AI' — systems that don't just provide insights but autonomously perform tasks and make decisions for the user, like qualifying and actioning a sales lead.

The standard for success in enterprise software sales is no longer simply implementing the system. Driven by the high stakes of AI, customers now demand proof of tangible business outcomes and value, forcing a fundamental change in sales pitches away from features and timelines to demonstrating concrete ROI.