Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Our AI-powered voice bots leverage the latest in large language models (LLMs) through AWS Bedrock, combined with Amazon Transcribe and Polly for real-time speech recognition and synthesis. These agents operate within modern cloud contact center environments such as Amazon Connect to provide scalable, consistent, and highly personalized voice interactions. Whether handling customer inquiries, processing payments, or supporting internal workflows, our solution brings automation, natural language understanding, and human-like communication to every voice channel—reducing operational costs, increasing satisfaction, and enabling 24/7 availability.
**[Watch short video](https://www.youtube.com/watch?v=ydYjXRx7Q1Q)**
Show the rest of the publisher’s description (13 more lines)
# Key Activities
- Design and configuration of AI voice bot workflows tailored to business requirements.
- Integration with AWS services: Amazon Transcribe (speech-to-text), Amazon Bedrock (LLM inference), Amazon Polly (text-to-speech), and Amazon Connect (contact center).
- Development of intent recognition and natural language understanding flows using prompt engineering and context management.
- Testing and optimization of conversation quality, latency, and fallback handling.
- Monitoring, logging, and analytics implementation using CloudWatch and Amazon S3.
- Continuous improvement and retraining strategies based on conversation data and feedback.
# Main Deliverables
- Fully functional AI-powered voice bot deployed on Amazon Connect or other contact center platforms.
- Custom-designed conversation flows for specific use cases (e.g., billing queries, appointment scheduling, technical support).
- Integration with AWS LLMs (via Bedrock), voice services (Polly/Transcribe), and business systems.
- Documentation for deployment, management, and maintenance.
- Dashboards or logs for monitoring performance, usage, and improvement opportunities.
Highlights
Highlighted by the publisher on AWS Marketplace.
Conversational AI at Scale: Leverages advanced LLMs and serverless AWS infrastructure (e.g., Lambda, API Gateway) to automate high-volume interactions with human-like dialogue, multilingual support, and real-time adaptability.
Seamless Integration & Rapid Deployment: Easily integrates with existing AWS environments for quick setup and high compatibility across channels, industries, and use cases.
Cost-Efficient & Insight-Driven: Reduces operational costs while maintaining CX quality, and enables continuous improvement through built-in analytics, logging, and campaign performance tracking.
Agent build and provenance
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Sources
Linked repositories
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