123-456-7890
contactus@cloudifyops.com
Reach Us
AI-powered Voice Assistant for Automated Inbound and Outbound Calling on AWS
ABOUT THE CUSTOMER

The client is a solar design, engineering, and consultancy organization based in India. It provides accurate and cost-effective solar engineering services to EPC companies globally, supporting commercial, industrial, and utility-scale projects with a strong focus on renewable energy and sustainable growth.

THE CHALLENGE |
  • Before moving to a cloud-based AI voice platform, the client’s Voice AI Agent was limited to a local development setup.
  • Temporary ngrok endpoints caused frequent instability, while a multi-step audio pipeline (speech-to-text, LLM processing, and text-to-speech) introduced high latency and noticeable response delays. 
  • The text-to-speech output sounded robotic, reducing customer engagement quality. Conversational capabilities were restricted to static prompts, preventing dynamic or context-aware interactions. 
  • The architecture could support only a small number of concurrent calls, with no auto-scaling, load balancing, or fault tolerance. 
  • These limitations made the system unsuitable for production workloads, outbound campaigns, or enterprise CRM integration, creating urgency to modernize the platform.
THE SOLUTION |

Implemented a unified, cloud-native architecture on AWS, leveraging Bedrock’s Nova Sonic 2 for real-time, bidirectional voice processing.

  • 60% Reduction in Voice Response Latency: By using Amazon Bedrock with Nova Sonic 2 and eliminating the traditional multi-step audio pipeline, the solution reduced voice response latency by over 60%, enabling faster and more responsive conversations. l
  • Human-Like Conversational Voice Experience:  The bidirectional speech-to-speech capability delivered natural-sounding voice interactions, replacing the earlier robotic output and significantly improving overall call quality and customer engagement.
  • Near-Instant FAQ Retrieval with Qdrant:  By integrating Qdrant Vector DB for semantic search, the assistant retrieves accurate, context-aware answers during live calls, ensuring fast and reliable responses.
  • Improved Regional Accessibility with Hindi Support: Native Hindi language support allowed the voice assistant to engage regional users more effectively, expanding reach and improving accessibility across diverse customer segments.
BENEFITS DELIVERED |
  • The transformed solution leverages a unified, cloud-native architecture on AWS.
  • At its core, AWS Bedrock’s Nova Sonic 2 enables real-time, bidirectional speech-to-speech streaming, replacing fragmented pipelines with a single low-latency modal.
  • A Python FastAPI backend on Amazon EC2 orchestrates inbound and outbound flows, while Qdrant Vector DB provides semantic FAQ retrieval for intelligent response injection. 
  • Outbound campaigns are automated via S3, Lambda, and SQS FIFO queues, ensuring reliable delivery of webinar invitations with customer-specific personas, while DynamoDB provides durable call logging.
  • This modern stack delivers human-like conversational cadence and supports regional Hindi language interactions, significantly enhancing accessibility and engagement scalability.
Contact Us
Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google
Spotify
Consent to display content from - Spotify
Sound Cloud
Consent to display content from - Sound
Save
Contact Us