Use case type
This category enables spoken interactions with automated systems for tasks such as customer service, ordering, or call handling. It helps organizations provide hands-free, conversational support and automate voice-based requests.
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7 mo
Adoption over time
By case publish month · completed months only
7 cases documented across 37 months (Jul 23 – Jul 26), peaking at 2 in June 2026.
1 so far in August 2026 (in progress, not charted) · 1 earlier case before Jul 23 not shown
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
9 shown from 9 use cases
WIZ.AI (Singapore) built and migrated a multilingual, secure, high-availability Talkbot on Alibaba Cloud to support fast low-latency customer interactions and flexible on-cloud or on-premises deployment for regulated clients.The solution uses Alibaba Cloud Elastic Compute Service and Alibaba Cloud AI/NLP capabilities to power multilingual multi-round dialogue and enterprise-grade voice AI services.
Roojoom upgraded its PickMyCall AI voice agent for SMBs by moving from a speech-to-text-to-speech pipeline to native speech-to-speech.The goal was to reduce latency, improve conversational flow, and support customer service tasks such as inbound call handling, lead capture, appointment scheduling, and call prioritization.Roojoom also used Amazon OpenSearch Service for search, observability, and vector database operations.
OTTO built a conversational voice shopping assistant to turn retail search into expert advisory dialogue.The assistant supports real-time, multi-turn voice interactions for shopping advice and product discovery.
Loka built a conversational AI voice agent for automotive dealership calls using Amazon Nova 2 Sonic on Amazon Bedrock to reduce latency and improve natural turn-taking.The solution uses a serverless, event-driven architecture with LiveKit Agents on AWS, Amazon ECS, Amazon RDS, IAM governance for prompt changes, and Python tools for inventory search, appointment booking, and customer lookup.
RapidSOS, a public safety AI company, built HARMONY AI as an intelligence layer for 911 centers to automate non-emergency calls and support dispatchers.The voice agent dynamically guides callers through agency-specific protocols, verifies critical location data, packages incident details for downstream field processing, and escalates to a human dispatcher when emergency risk is detected.The system uses Gemini Live API on Gemini Enterprise Agent Platform, Google Agent Development Kit (ADK), Gemini 2.5 Flash, and Chirp 3 in an agentic architecture with parallel supervision and safety verification.
On the opening day of the 2026 Beijing Auto Show, leading Chinese automakers including BYD, Geely, Li Auto, Changan Automobile, Dongfeng Motor, BAIC, Great Wall Motor, SAIC Volkswagen, and SAIC IM Motors announced integration of Qwen into their intelligent vehicle systems.Select models from these manufacturers will offer Qwen-powered AI services directly within the cabin, enabling users to book hotels, purchase attraction tickets, order food delivery, track parcels, and more.Alibaba Cloud describes an edge + cloud collaborative architecture for smart cockpits: Qwen-Omni runs on the edge to perceive and interpret the physical environment, while cloud-side Qwen agentic AI capabilities understand natural-language commands, decompose intents, plan multi-step workflows, and orchestrate scenario-specific agents for seamless execution.The article also notes an earlier FAW Hongqi 'Lingxi Cockpit' implementation that integrated Qwen agentic AI into an intelligent system on the Hongqi HS6 PHEV for ambiguous voice recognition and complex multi-step task planning.Alibaba says it is also adapting Qwen-Omni to run on NVIDIA DRIVE AGX Thor for in-cabin human-machine interaction.
Tapestry, the luxury fashion holding company behind Coach, Kate Spade New York, and Stuart Weitzman, built an in-house generative AI engine on AWS.The solution helps collect, synthesize, and analyze store associate feedback at scale across a large retail network.Two applications, Tell Rexy and Ask Rexy, support voice feedback collection and analytics question answering for store and corporate users.
Chulalongkorn University’s Center of Excellence in Digital and AI for Mental Health (AIMET) needed to scale mental health pre-screening and hotline triage during high call volumes, reducing suicide risk and improving response times while protecting sensitive user data.The solution used AWS to run DMIND, an AI-powered mental health voice/text pre-screening app, and an AI voicebot for Thailand’s national mental health hotline. The implementation used secure, scalable AWS infrastructure with AWS Fargate, Amazon Elastic Container Service, Amazon Route 53, Elastic Load Balancing, Amazon ElastiCache for Redis, Amazon VPC, and Amazon SQS. AIMET also used a web application firewall and CDN services to protect data and deliver low-latency access.The architecture dynamically scaled during peaks, routed critical cases, and supported both pre-screening and hotline triage workflows.
Villeroy & Boch launched the trilingual voicebot Anna with BOTfriends and Google Cloud to streamline call center operations by automating call routing.The bot uses Dialogflow Enterprise Edition, Cloud Speech-to-Text, Cloud Text-to-Speech, and BigQuery to route callers to the right service area or employee and to help handle peak call volumes.
Common questions
