Robotic voices failed at therapy intake. Now, realistic agents handle sensitive calls with human empathy.
An AI-native contact center platform provides scalable voice automation infrastructure for enterprises in sectors ranging from healthcare to e-commerce.
The engineering team needed to build automated agents that sounded natural enough for sensitive customer interactions. They struggled to find a voice...
“At Regal, we’ve always believed voice is the most impactful channel for driving customer engagement, retention, and conversion. Partnering with ElevenLabs allows us to bring more expressive, authentic voices into our platform so our customers can build trust, reduce friction, and ultimately drive measurable business results in every conversation.”
Voice AI agent platform for automated customer support and sales interactions.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Regal's Contact center automation is part of this use case:
Related implementations across industries and use cases
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Callers instantly hang up on robotic voices. Emotive AI voices with regional accents now hold natural, real-time conversations.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Robotic voices failed at therapy intake. Now, realistic agents handle sensitive calls with human empathy.
An AI-native contact center platform provides scalable voice automation infrastructure for enterprises in sectors ranging from healthcare to e-commerce.
The engineering team needed to build automated agents that sounded natural enough for sensitive customer interactions. They struggled to find a voice...
“At Regal, we’ve always believed voice is the most impactful channel for driving customer engagement, retention, and conversion. Partnering with ElevenLabs allows us to bring more expressive, authentic voices into our platform so our customers can build trust, reduce friction, and ultimately drive measurable business results in every conversation.”
Voice AI agent platform for automated customer support and sales interactions.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Regal's Contact center automation is part of this use case:
Related implementations across industries and use cases
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Callers instantly hang up on robotic voices. Emotive AI voices with regional accents now hold natural, real-time conversations.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.