Case Study: 14.ai Saves 3+ Hours a Day and Scales Lean Outbound with Topo

A Topo Case Study

Preview of the 14.ai Case Study

How 14.ai Replaced 3+ Hours of Daily Research with AI-Powered Outbound

14.ai, an AI support platform and recent Y Combinator graduate, faced an unsustainable outbound process. Their co-founder was spending over three hours daily manually hunting for leads on LinkedIn. They needed a fast, lean way to generate conversations to test product positioning and refine their roadmap without the budget to hire a sales team.

They implemented Topo to fully automate their outbound engine, using it to source, enrich, and sequence leads. The Topo agent ran feedback-driven campaigns that provided critical learning, not just meetings. This solution saved over three hours per day, delivered a steady flow of high-quality conversations, and acquired early customers, turning outbound into a repeatable growth motion for 14.ai.


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14.ai

Marie Schneegans

Chief Executive Officer


Topo

4 Case Studies