customer_support · media · workflow

Scale AI builds enterprise-ready conversational voice AI for TIME using ElevenLabs

Off-the-shelf LLMs lack the deep knowledge needed to follow business logic, brand guidelines, and safety principles for enterprise deployments, requiring custom architecture built on top of AI primitives.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Reader engages with TIME AI
TIME AI allows readers to engage in natural conversations about TIME's journalism, including Person of the Year coverage.
Tools used
ElevenLabsScale AILLMsASRSTTTTS
Outcome

TIME AI allows readers to engage in natural conversations about TIME's journalism with a voice that feels remarkably human while maintaining strict control over content and brand voice.

Source

https://elevenlabs.io/blog/scale-felix-su

How we source this →

Grounding & classification
Source type: vendor customer story
24 fields verified against source quotes.
ai agentconversational airagspeech to textvoice aiknowledge basebuilder submittednamed customerproduction runtime claimedtools describedworkflow describedmediacustomer satisfactionvendor customer storycustomer supportrag answeringvoice call handling