ElevenLabs Implements AI Agents in Sales, Hiring, and Internal Processes
ElevenLabs is using AI agents for sales, hiring, and internal processes. The agent for inbound leads has processed over 3,000 inquiries and qualified more than 90% in 32 languages without human involvement.
At ElevenLabs, agents also train new salespeople, conduct initial interviews with candidates, and answer employee questions about internal procedures. The company’s field CTO, Alex Holt, believes such systems should help business units achieve their previous goals: enabling sales teams to increase revenue faster and support services to improve customer satisfaction metrics.
Nearly all job applicants at ElevenLabs are first assessed by an AI recruiter. This allows recruiters to devote more time to the final hiring stage and persuade suitable candidates to join the company. Teams include engineers who help restructure processes to align with business objectives.
Holt identifies multi-agent systems as the next direction—systems capable of handing off work and shared context to one another. In one case, an inbound sales agent received a potential client’s request, after which another agent handled legal documents and contracts. As a result, the client completed the purchase through interactions with two agents without human involvement. Holt believes this approach is suitable for simple and repetitive tasks, freeing employees to focus on complex inquiries and upselling.
Humans monitor the agents’ work at the company. After one agent mistakenly processed a refund of less than $30 for a client and failed to escalate the situation to a human, ElevenLabs replicated the scenario, analyzed the decision-making process, and adjusted the system’s instructions and constraints. Holt notes that recording agents’ decisions helps identify errors that might have gone unnoticed in human workflows.
