
Voice AI & sales
Voice AI for business: AI receptionist & AI setter
No call gets lost. No lead gets left behind. AI receptionists, AI setters and a CRM that prepares the closer – built on my products anicall.io, aniCRM and Outbound Coach.
What it is about
Voice AI means that AI agents hold phone conversations in real time: they understand spoken language, answer questions from verified company knowledge, book appointments and hand over to a human when needed. An AI receptionist takes inbound calls around the clock; an AI setter calls leads outbound and qualifies them for sales. What determines quality is short response times, a natural voice and clearly identifying itself as AI to the caller. Unlike a phone menu, voice AI holds a free conversation instead of asking callers to press keys.
This matters for mid-sized companies and corporations now because every missed call can be a lost order, and leads go cold faster the later they are followed up. Typical mistakes are phone AI that responds with a noticeable delay, invents answers or works without a connection to calendar and CRM. On top of that, hand-overs from setter to closer cost hours per lead. The result is a solution that convinces in testing but annoys customers in everyday use and puts even more pressure on sales.
I built my own voice agent platform, anicall.io, which is live on the market: a real-time pipeline of Twilio, Deepgram, Groq and ElevenLabs streaming end to end, from €0.13 per minute. The agent is built to answer only from verified sources; knowledge gaps land with your team as approval tasks. It is complemented by aniCRM, which generates the ROI deck and scripts for the closer, and the Outbound Coach for call training. The first real calls typically run from week two.
Who it is for
- Mid-sized companies that lose calls – and orders – outside business hours
- Sales teams whose leads are followed up too late or not at all
- Companies with a setter-closer sales model where hand-overs cost hours
- Service hotlines that want to automate standard questions and absorb call peaks
Sound familiar?
- Missed calls outside business hours
- Leads are followed up too late or not at all
- Hand-overs from setter to closer take hours
What you get
- AI receptionist for inbound, 24/7, with your knowledge
- AI setter for outbound with approval of call lists
- CRM with automatically generated pitch deck and ROI analysis
- Call training for your sales team
- Calendar, CRM and webhook integration

Why I can do this
anicall.io: real-time voice pipeline, live on the market
Approach
From the first call to a running system.
- 1Week 1
Use case & knowledge
Define call goals, knowledge sources and escalation rules.
- 2Weeks 2–3
Pilot
First real calls with a traffic-light review of every conversation.
- 3Weeks 3–5
Integration
Connect calendar, CRM and hand-over to your team.
- 4ongoing
Scale
More numbers, languages and campaigns.
Why I can do this
- aniCRM generates ROI decks, scripts and prototypes automatically
- Voice agent SaaS built in public on YouTube
Technology
Example from practice · In-house product · Voice AI
Voice agent platform anicall.io
A real-time pipeline of Twilio, Deepgram, Groq and ElevenLabs with per-minute billing, five languages and an MCP interface. The pipeline streams end to end and is built to answer only from verified sources. The build is documented publicly on YouTube.
Further reading

Voice Agents for Business: What They Can Do, What They Can't and How to Start
7 min read
What does an AI phone agent cost? Cost blocks, calculation, comparison
10 min read
KI-Telefonie DSGVO-konform einsetzen: Was rechtlich gilt
8 min · in German
Voice-Agent-SaaS aufbauen: Lehren aus dem öffentlichen Aufbau von anicall.io
5 min · in GermanFAQ
Questions & answers
Does the AI receptionist sound natural?
Yes. The pipeline streams end to end with a natural voice, so the conversation flows. It still identifies itself as AI.
What happens if the agent cannot answer a question?
It only answers from verified sources. Knowledge gaps land with your team as an approval task.
What does a call minute cost?
With anicall.io from €0.13 per minute, with no base fee. Example: 400 calls of 3 minutes a month cost around €156 – and the AI receptionist is available around the clock, including nights and weekends.
Is an AI receptionist compatible with GDPR and the EU AI Act?
The agent identifies itself as AI during the call and only answers from sources your team has approved. Which call data is stored and when a call is escalated to a human are defined bindingly in the first step.
How quickly is an AI receptionist ready?
In week one we define call goals, knowledge sources and escalation rules. In weeks two to three the first real calls run in the pilot, with every conversation reviewed via a traffic light. Calendar and CRM integration follow by around week five.
More services
From idea to running system.

AI Department & strategy
AI Department & AI Strategy
Staff roles with AI – controlled, measurable, compliant by design.
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AI SaaS & software
AI SaaS & Software Development
Production-ready in 8–12 weeks – not 12 months.
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Portals & prototypes
Process Digitalisation for Mid-sized Companies
Client, team and supplier portals – as a clickable prototype in days.
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Next step
Let’s build what works for you.
30 minutes, free and without obligation. You’ll find out where AI has the biggest leverage in your company – and how quickly it can be implemented.
Usually answered within 24 hours.
