Get your free personalized podcast brief

We scan new podcasts and send you the top 5 insights daily.

To demo his AI coaching platform before it was built, the founder voice-cloned a prospect, manually created a scripted video conversation, and presented it as a working product. This high-effort simulation convinced the leadership team and secured a $10,000 pilot.

Related Insights

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.

Go beyond static prototypes by using text-to-video tools like Flow or Sora to create promotional clips. This final step allows stakeholders to visualize the product in a real-world context and emotionally connect with the user experience, making your pitch significantly more persuasive.

Generic use cases fail to persuade leadership. To get genuine AI investment, build a custom tool that solves a specific, tangible pain point for an executive. An example is an 'AI board member' trained on past feedback to critique board decks before a meeting, making the value undeniable.

Amanda Kahlow used her product, an AI “superhuman” cloned from herself, to conduct fundraising pitches for her Series A. The AI gave over 60 pitches, handled objections, and gathered raw feedback from VCs, leading to a term sheet in three days.

Instead of asking for large, upfront AI investments, CMOs should run contained pilots. The guest cites a conversational AI bot that cost $60k for a year and generated $10M in incremental pipeline. Presenting this clear, massive ROI is the most effective way to gain board approval for scaling up.

The team invested 8-10 hours researching each prospect to build a fully customized demo environment. This high-effort, non-scalable strategy created a powerful "aha moment" that dramatically increased win rates, validated by A/B testing against generic demos.

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.

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.

Don't underestimate the power of a tangible, even if imperfect, prototype. A designer used AI tools to build a working demo of a complex concept (MCP server). This "vibe-coded" project made the abstract value concrete for leadership, directly leading to the technology being prioritized on the company's official roadmap.

Despite not coding for four years, Peak AI's founder used AI tools to build a functional prototype in a day and a half. This prototype was compelling enough to secure eight letters of intent from customers before writing any production code.