DXC and ElevenLabs show how voice AI improves enterprise service experiences
DXC and ElevenLabs demonstrate that voice AI’s value lies in seamless, context-aware interactions—not just natural-sounding speech. Their partnership highlights three key use cases: service desks where agents resolve issues without repetitive explanations, multilingual customer platforms ensuring consistent support across channels, and training programs where employees practice conversations…
Key points
- DXC and ElevenLabs partner to deploy voice AI in service desks, customer platforms, and training, focusing on outcomes over call deflection
- Voice agents preserve context and escalate complex issues to humans, reducing repetitive explanations for employees and customers
- Transparency and accountability—like disclosing AI use and ensuring human oversight—are critical to building trust in voice interactions
The companies emphasize transparency and accountability as critical to trust. DXC’s CEO used an AI voice model for earnings calls, proving that disclosure strengthens credibility rather than undermines it. The model delivered scripted remarks in six languages simultaneously, showing how voice AI can scale communication without losing authenticity. DXC’s LabX incubator tests these technologies internally before deploying them to clients, ensuring real-world validation before scaling.
The Most Important Thing About Voice AI Is Not the Voice
Unite.AI · 29 October 2026
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This text was published by Unite.AI and written by Holly Grant, President, AI Innovation and Strategy & LabX, DXC Technology. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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