Enterprise AI Telephony & Omnichannel Assistant Platform

The Challenge

Traditional phone support systems and voice bots suffered from high response latency (>2s), robotic speech inflection, and rigid decision trees. Businesses lacked tools to automate call documentation, qualify leads naturally, and update conversational scripts without developer code changes.

• •High response latency in traditional telephony IVR systems causing caller drop-offs
• •Robotic monotone speech synthesis lacking natural human inflection and sentiment adaptation
• •Inflexible call routing scripts requiring custom developer code for every workflow change
• •Manual call documentation requiring team members to summarize inquiries manually after every call
• •Strict GDPR (DSGVO) compliance requirements for handling European enterprise customer voice data
• •Disconnected channels between website chat, interactive forms, and inbound phone support

The Solution

Architected an end-to-end AI Telephony & Omnichannel Assistant platform. Built streaming WebSocket audio pipelines connecting fast Speech-to-Text (STT), LLM context synthesis, and neural Text-to-Speech (TTS) with a visual No-Code Agent Workflow Builder.

• •Real-Time AI Telephony Engine (Telefon-Assistent): Automated inbound call answering, lead qualification, and instant structured note summaries for CRM integration
• •Visual No-Code Agent & Workflow Builder: Created drag-and-drop conversational canvas for business teams to build multi-branch call scripts and logic triggers
• •Multi-Model LLM Router (KI-Infrastruktur): Built intelligent model routing dynamically switching between LLMs based on task complexity and cost optimization
• •RAG Knowledge Base Engine (Wissensquellen): Indexed company documentation, PDFs, and web pages into a unified vector knowledge store for dynamic agent grounding
• •Omnichannel Assistant Suite (XChat & Formular-Assistent): Unified AI brains across telephony, web chat widgets, and interactive lead forms
• •GDPR-Compliant Security Architecture: Built strict zero-retention data privacy controls and role-based permissions (Rollen & Rechte)
• •Quality Assurance & Audit Suite (Qualitätssicherung): Created real-time call monitoring dashboards, sentiment analytics, and transcript evaluations

My Role

As Lead AI Systems Architect, responsible for real-time audio pipeline architecture, LLM prompt state machines, visual workflow editor UI, and platform security.

• •Architected low-latency WebSocket audio processing pipeline with sub-300ms speech-to-speech response
• •Designed drag-and-drop visual workflow canvas and node-based conversational state machine
• •Built RAG knowledge base indexing pipeline and multi-model LLM router
• •Implemented GDPR-compliant data security, encryption, and role-based access control (RBAC)
• •Deployed scalable containerized voice microservices on cloud infrastructure

The Result

Delivered a cutting-edge enterprise conversational AI platform providing human-grade voice interaction, automated documentation, and multi-channel customer engagement.

• •Achieved sub-300ms end-to-end voice latency for fluid, natural human-grade phone conversations
• •100% GDPR (DSGVO) compliance with zero-retention security standards
• •Empowered non-technical product teams to deploy custom telephony bots in minutes via No-Code Editor
• •Automated 70%+ of routine inbound customer inquiries, lead qualifications, and call summaries
• •Unified customer touchpoints across phone, web chat, and interactive form assistants

Client Value

Provided enterprise clients with an agile, 24/7 automated telephone and web assistant system, eliminating missed calls, streamlining team workloads, and maintaining strict European data privacy compliance.