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Solution in Detail

Voice Agents: Telephone Pre-Qualification with AI.

A voice agent answers calls, captures the inquiry, provides initial information, and only forwards qualified conversations to your team. No waiting customers, no lost calls, no time wasted on standard questions.

Voice Agents

⏳ Time-to-Value

4–6 weeks

Investment (One-time)

from €5,500 (Basic)
from €9,500 (Pro)

Ongoing Costs

approx. €80–200 / month
(Speech API, SIP Provider)

Deliverables

Basic: Inbound Telephone Bot, SIP Routing, Basic FAQ
Pro: + CRM System Integration, Calendar Connection


To the AI Initial Consultation
Management Summary (PNG)

Target Group

Who is this for?

Well-suited if …

  • Your team handles 30+ calls daily and 40%+ are pure information inquiries
  • Callers hang up while waiting for someone to answer
  • Calls about opening hours are lost on weekends or evenings
  • You run a craft, building technology, service, or healthcare company
  • No in-house call center team, but availability is still needed

Less suitable if …

  • Your calls are exclusively highly complex individual consultations
  • You receive less than 10 calls per day
  • You already use an external call center with satisfactory results

Business Impact

Measurable Results for the Call Center

> 40%Relief from Information Inquiries

Standard questions are completely intercepted — your team only solves real problems.

24/7Availability

Voice agents also answer in the evenings and on weekends, summarize inquiries, and route them.

< 2 sec.until call acceptance

No ringing into emptiness, no frustrating waiting — immediate initial analysis.

100%Documentation & Case Handover

After handover to a human, the summary is already in the system.

Model calculations based on real project values. Individual savings vary depending on setup.

Architecture & Approach

The End-to-End Process: From Call to Data Integration

A robust process ensures that the agent communicates naturally and reliably hands over in case of doubt.

01

Understanding Language (Speech-to-Text & NLU)

The customer calls. Their language is transcribed in real-time. The AI (NLU) immediately recognizes the intent and extracts important data (like customer number).

02

Retrieving Knowledge (Information Retrieval)

If necessary, the system queries your internal knowledge base (RAG) in fractions of a second or checks status messages via an API to prepare an informed response.

03

Responding & Speaking (LLM & Text-to-Speech)

Based on guidelines (Guardrails), the appropriate response is formulated and output via extremely natural speech synthesis — including tiny pauses for more naturalness.

04

Action & Seamless Handover

If the inquiry is complex, the agent directly forwards to the right department (Routing) — along with a summary of the previous conversation on the employee's monitor.

Under the Hood

Technical Setup

So you can assess what really lies behind it — no black box promises.

Speech-to-Text (STT)

Real-time transcription of the call using models like Whisper or Azure Speech Services. Support for German with regional dialect variants. Latency under 500ms for natural conversation flow.

Natural Language Understanding

Intent recognition via LLM (GPT-4o or comparable) with context-aware prompting. The agent understands not only keywords but the meaning of the statement — even with paraphrases or incomplete sentences.

Dialogue Management

State-based conversation control with fallback logic. Defined escalation paths: If the agent is unsure, it hands over to a human — instead of guessing.

Text-to-Speech (TTS)

Natural-sounding speech output via neural TTS models (e.g., Azure Neural Voice, ElevenLabs). German voice, configurable tonality, speaking speed, and pauses.

Telephony Integration

Connection via SIP trunking or cloud telephony (Twilio, Vonage, DTAG SIP). Compatible with existing telephone systems — no hardware changes needed.

Logging & Analytics

Every conversation is transcribed, tagged with intents, and can be analyzed in a dashboard. Recognition rates, conversation duration, escalation rate — everything measurable and traceable.

Typical Stack

Whisper / Azure STTGPT-4o / ClaudeAzure Neural TTSTwilio / SIPPython / FastAPIWebSocketPostgreSQLGrafana Dashboard

The specific stack depends on your existing systems and requirements. No lock-in to a specific provider.

Frequently Asked Questions

Voice Agents — Answered Specifically

How do the service packages differ?

In the Basic Package, you receive the quick, ready-to-use standard solution: Inbound Telephone Bot, SIP Routing, Basic FAQ. Ideal for easily proving value. The Pro Package is intended for deep system integrations: + CRM System Integration, Calendar Connection. Here, we pay special attention to enterprise readiness, customizing, and scaling.

Does the voice agent sound natural?

Yes. Neural TTS models produce a natural German voice with configurable tonality. Most callers do not notice a difference from a human in the first few seconds.

What happens if the agent does not understand a question?

Defined escalation: The agent politely repeats, asks for rephrasing, and hands over to a human contact after 2 attempts. No endless questioning.

Does this work with our telephone system?

In most cases, yes. The agent can be connected to almost any telephone system via SIP trunking — without hardware changes. In the AI Initial Consultation, we check compatibility.

How much does a voice agent cost?

Setup starts at €2,900 in the starter package. Ongoing costs depend on call volume (telephony + API costs). Typical: €50–300/month for an SME with 30–100 calls/day.

Can we customize the agent ourselves?

Yes. Texts, greetings, and conversation logic are documented and customizable. Larger changes (new conversation flows, integration of new systems) will be handled by me as part of the support.

Self-Assessment

Is an AI Voice Agent Worth It?

Answer these 5 short guiding questions and immediately receive an assessment of how much potential this service holds for you.

Question 1 of 5

Does your team regularly make calls with standard information (opening hours, appointments)?

Next Step

Whether a voice agent makes sense for you, we will clarify in 45 minutes — free and without obligation.

Request AI Initial Consultation now

Concrete Offer

What you get, how long it takes, and how risk is reduced.

AI Phone Assistant
Result
A tested voice workflow for FAQs, qualification, summaries, appointments, and human fallback.
Timeframe
4-8 weeks
Price anchor
pilot from 4,900 EUR
Best fit
Best when phone calls interrupt focus and routine questions block capacity.

Risk reduction

  • Pilot before rollout
  • Human-in-the-loop and fallback rules
  • Documented data flow and handover

Proof material

Review sample deliverables before deciding: pilot report, implementation plan, prompt and fallback set, handover documentation.

View work examples

Standard process

  1. Maturity check and initial consultation
  2. Scoped pilot with realistic data
  3. Rollout decision and handover

Not included by default

External licenses, large-scale data cleanup, major ERP/CRM rebuilds, and legal case-by-case advice are scoped separately before project start.