Instead of a generic presentation, Decagon scrapes a prospect's public data to build a working, tailored demo before the first sales call. This simulates the prospect's actual workflows, vividly demonstrating immediate value and accelerating the sales cycle.

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Instead of guarding prototypes, build a library of high-fidelity, interactive demos and give sales and customer success teams free reign to show them to customers. This democratizes the feedback process, accelerates validation, and eliminates the engineering burden of creating one-off sales demos.

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.

In a crowded space like voice AI, pitches sound generic. The founder of April found that investors who converted were those who used the product before the first meeting. The direct experience of a working product bypassed skepticism and made fundraising calls short and successful.

To overcome a prospect's fear of risk, go beyond generic demos. Use their actual documents, data, and processes to show how your solution fits into their existing workflow. This makes the change feel less like a leap of faith and more like a natural evolution.

Leverage AI to conduct comprehensive research on a prospect's company, industry, and the specific individuals you're meeting. This allows you to bypass basic discovery questions and dive into more relevant, informed conversations, making the sales call more efficient and valuable for the customer.

Instead of a feature walkthrough, structure your demo as a story. Remind the prospect of their current painful 'day in the life' (uncovered in discovery) and then show them the future, transformed 'day in the life' using your product. This sells the outcome, not the tool.

Contrary to traditional sales processes, the demo is the ideal moment for discovery. Prospects' defenses are down when viewing the product, making them more open. Prepare specific 'bridge questions' to ask before showing each feature to fill informational gaps.

For each potential buyer, create a new ChatGPT project. Upload your standard offer template, product overview, and all prospect-specific data (CRM info, call transcripts). Prompt the AI to synthesize these documents into a unique proposal that directly addresses the buyer's expressed pain points and priorities.

To win their first enterprise deal, Nexla's co-founder live-coded a solution to a specific data problem during the sales meeting with Instacart. This "magical moment" demonstrated their agility and technical depth in a way no slide deck could, immediately building trust and differentiating them from slower, incumbent processes.

Use AI coding tools to build a prospect's requested feature or app in real-time during a sales call. This live demonstration of capability is a powerful sales flywheel that blows clients' minds, as most have never seen their ideas realized so quickly.