Custom AI Voicebot - Intelligent Voice Assistants
Ehrenmueller AI · Customer Service
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Ehrenmüller develops custom AI voicebot solutions that seamlessly integrate into your existing IT infrastructure, transforming telephone communication into an efficient action system that resolves customer inquiries immediately. Built on AWS, our solutions leverage a robust cloud-native architecture to deliver enterprise-grade reliability, scalability, and security.
Our voicebots enable natural, fluid conversations with remarkable precision. They recognize dialects and accents, switch effortlessly between languages, respond to tonality and emotion, and adapt their communication style to each caller. With real-time processing and deep connectivity to your data and tools, voicebots evolve from simple voice interfaces into powerful, action-oriented AI assistants.
Show the rest of the publisher’s description (12 more lines)
Key Capabilities:
- Natural Conversation: Forget rigid phone menus. Powered by Amazon Lex for intent recognition and natural language understanding, our voicebots conduct real, fluid dialogues, understand context, and respond flexibly to follow-up questions — so naturally that customers forget they are speaking with AI.
- Real-Time Dynamics: Extremely fast response times with low latency ensure no unnatural pauses. Amazon Connect provides the telephony backbone, while AWS Lambda executes business logic in milliseconds, so customers can interrupt at any time and the voicebot adapts immediately to the conversation flow.
- Dialect and Multilingual Support: Using Amazon Transcribe for speech-to-text and Amazon Polly for text-to-speech, the AI automatically recognizes dialects and languages, ensuring maximum customer proximity regionally and absolute professionalism in international business.
- Active Assistance: Direct API interfaces to your existing systems (CRM, ERP, SAP) — orchestrated via AWS Lambda and Amazon API Gateway — enable the AI to book appointments, query delivery statuses, or update customer data live during calls, accurately and GDPR-compliant.
- Emotional Intelligence: Leveraging Amazon Comprehend for sentiment analysis, the AI analyzes caller tonality and mood in real time. It responds with de-escalation for frustrated customers and seamlessly hands over to human agents when needed, including the full conversation protocol.
- Hands-Free Productivity: Ideal for production, warehouse, or field service technicians who can complete documentation, status reports, or material queries by voice during work. Voice inputs are processed via Amazon Transcribe and stored securely in Amazon S3 or Amazon DynamoDB, improving safety and saving time.
Typical Use Cases:
- Customer Service and Hotlines: Automated resolution of standard inquiries like delivery status or FAQs around the clock, freeing your support team for complex issues. Conversation logs and analytics are stored in Amazon S3 and visualized through Amazon QuickSight.
- Sales and Lead Qualification: When potential customers call outside business hours, the voicebot qualifies the inquiry, captures key data into your CRM via Amazon API Gateway integrations, and prepares the callback for your sales team.
- Appointment and Booking Systems: Autonomous scheduling, confirmation, and rescheduling of appointments synchronized directly with Outlook, Google, or industry-specific calendars — coordinated through AWS Lambda and Amazon EventBridge for reliable, event-driven workflows.
Our proven implementation approach starts with identifying high-value use cases through real conversation data analysis, followed by a risk-free pilot phase with one to two use cases for live validation, and then gradual optimization and scaling based on continuous user feedback. All deployments adhere to AWS security best practices, with data encrypted at rest using AWS KMS and access controlled via AWS IAM. Ehrenmüller develops AI systems for the innovative mid-market sector from Kempten, Germany.
Highlights
Highlighted by the publisher on AWS Marketplace.
Natural real-time conversations with dialect recognition, multilingual support, and emotional intelligence that adapts to caller mood and tonality
Direct API integration with CRM, ERP, and SAP systems enabling live data queries, appointment booking, and customer record updates during calls
GDPR-compliant automation of customer service, sales lead qualification, and appointment scheduling available 24/7 without rigid phone menus
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