Build a voice-enabled Automotive and Manufacturing assistant using Amazon Nova Sonic and Amazon Bedrock AgentCore

This article describes VEMA, a voice-enabled manufacturing assistant that uses Amazon Nova Sonic and Amazon Bedrock AgentCore to help automotive and manufacturing workers access critical information hands-free on the shop floor.

• Amazon Nova Sonic provides native speech-to-speech processing in a single model invocation, eliminating latency from traditional STT-LLM-TTS pipelines
• Four specialized Strands agents handle maintenance troubleshooting, root cause analysis, predictive maintenance, and safety protocols with persistent memory across sessions
• Retrieval Augmented Generation (RAG) via Bedrock Knowledge Bases grounds responses in actual equipment manuals and safety documentation
• Fully serverless architecture uses Lambda, DynamoDB, S3, AppSync Events, and CloudFront for real-time voice interaction and data persistence
• Bilingual support (English/Spanish) and automatic session resumption enable seamless worker experience
• Projected outcomes: 60-70% reduction in information access time, 40% decrease in equipment downtime, improved safety compliance

VEMA demonstrates how speech-to-speech AI with agentic reasoning transforms hands-busy, eyes-busy environments by delivering instant, accurate answers without interrupting workflow.