I just created a step-by-step tutorial showing agencies exactly how to white-label ElevenLabs Conversational AI under their own brand.
For context: ElevenLabs has established itself as a premium voice technology provider in the AI space. They're widely integrated by platforms like RetailAI and VAPI specifically for their voice quality. Their newer Conversational AI product allows agencies to create complete voice agents using their technology.
What the tutorial covers:
I walk through the entire process of setting up a white-labeling system that lets agencies offer ElevenLabs' technology under their own brand. Clients never see "ElevenLabs" - they only interact with the agency's branded interface, domain, and logo while benefiting from the underlying voice quality.
The step-by-step process includes:
• Connecting an ElevenLabs account to your white-label platform
• Setting up proper API integration with webhook secrets
• Creating customized inbound support & outbound calling agents
• Adding your agency branding, logo, and custom domain
• Setting up client portals with controlled feature access
• Implementing custom pricing with markup over ElevenLabs rates
• Managing multiple phone numbers with number pooling (important for scale)
• Sending call data to CRMs and third-party systems
The business model advantages: Instead of sending clients directly to ElevenLabs where they pay retail rates, agencies can offer the same technology under their brand with their own pricing structure. The clients get a seamless, branded experience, while agencies maintain control of the relationship and earn margin on every call.
What makes this approach practical is the ability to scale beyond one-to-one client service. The system includes automated client onboarding capabilities, so new clients can sign up, pay through the agency's Stripe integration, and start using voice AI services without requiring manual setup each time.
If you've implemented white-labeled voice AI solutions for your clients, I'd be interested in hearing what pricing approaches have worked best in your experience.