What happens when AI stops being treated like a tool and starts being hired like an employee?
In this episode, we sit down with Gabe Larsen, Chief Revenue Officer at Atonom (formerly known as Signals), to explore a bold reframing of AI agents as “cloud employees” hired on salary to perform specific job roles.
Rather than selling software seats or charging per conversation, Atonom packages AI as role-based digital workers. You hire an AI SDR, a customer service rep, or a recruiter. You coach them and you measure their output. And if they do not perform, you let them go.
Gabe explains why the traditional SaaS model failed to deliver outcomes, how AI agents are shifting from tools to teammates, and why pricing AI like a human employee simplifies adoption. We dive into multi-channel AI employees, autonomous multi-agent systems, role-based templates and the realities of scaling AI across sales, customer service and recruiting.
Gabe also shares his views on the broader AI market, where Signals sits relative to other AI players and why he believes multi-channel autonomy is a key differentiator.
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