AI Voice Agent Developer (ElevenLabs, Twilio)
I build AI voice and phone agents that talk to your customers like a human: ElevenLabs for the voice, Twilio for telephony, n8n and your APIs to wire the business action. Not a toy demo, a production agent that qualifies, answers, books appointments and logs to your CRM. A live demo already runs on a client site.
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Natural voice
ElevenLabs, multilingual, low latency.
Intent understanding
The agent understands the real request.
Integrations
CRM, calendar, APIs and n8n.
Appointment booking
Checks slots and confirms.
Phone (Twilio)
Inbound and outbound calls.
Human validation
Smart handover when stakes justify it.
A voice agent that acts, not just talks
A good voice agent is more than a nice voice. It understands intent, fetches the right information, triggers an action and keeps a record. I build the full chain: request understanding, access to your data (catalog, availability, CRM), natural voice response, and a concrete action (booking, lead qualification, handover to a human).
Concretely: a visitor asks a question by voice, the agent answers with your real business context, proposes a slot or an answer, asks for validation when needed, then logs the exchange. That is what separates a gimmick chatbot from an agent that genuinely offloads your team.
Stack: ElevenLabs, Twilio, n8n and your APIs
For the voice, I use ElevenLabs Conversational AI: natural, multilingual, low-latency voices that do not sound robotic. For the phone channel, I integrate Twilio (numbers, inbound and outbound calls, SIP) so the agent answers on the phone, not only on the web.
The business logic runs through n8n and your APIs: the agent reads your data in real time, writes to your CRM, triggers emails, creates calendar events. Voice is the surface, automation is the engine behind it. See also n8n automation and AI agent developer.
Use cases: support, booking, qualification, outbound
The use cases that pay off most for a voice agent: tier-1 customer support (repetitive questions, hours, status), appointment booking and reservations (the agent checks slots and confirms), inbound lead qualification (the agent asks the right questions before handing over), and outbound outreach (callbacks, follow-ups, surveys).
The common thread: repetitive conversations that still need context and a bit of judgment. The agent handles the volume, your team keeps the high-value cases, with human validation where the stakes justify it.
Proof: a voice agent already in production
I do not sell a theoretical skill. An ElevenLabs Conversational AI voice agent runs live on MadaVoyage, a travel booking landing page: the visitor talks to the assistant, which answers about tours and booking. You can test it directly.
That is the advantage of working with an identifiable developer rather than a promise: a real, demonstrable project you audit before signing. See the MadaVoyage project and its live demo.
Timeline, pricing and ownership
A first working voice agent typically ships in 2 to 3 weeks depending on scope and integrations. My day rate is €350, billed directly with no middleman markup, with scope and price fixed before we start and a quote within 48h.
I work remotely with clients in Europe and internationally. On delivery, the agent, its prompts and the orchestration are yours, documented and deployable, with no proprietary lock-in.
AI voice agent vs classic phone menu (IVR)
Compared to a classic phone menu, an AI voice agent changes both the experience and what it can do. Here is the comparison on the criteria that matter.
| Criterion | Classic IVR / menu | AI voice agent (my approach) |
|---|---|---|
| Understanding | Rigid menus, 'press 1' | Natural language, understands intent |
| Business action | Limited, quick human handoff | Books, qualifies, logs to the CRM |
| Languages | Often a single one | Natively multilingual (ElevenLabs) |
| Cost at scale | Linear human cost | Absorbs volume without hiring |
| Complex or sensitive cases | A human is still better | Smart handover to a human |
Understanding
Business action
Languages
Cost at scale
Complex or sensitive cases
The AI voice agent wins on high-volume repetitive conversations. For sensitive cases, it knows when to hand over to a human. The right move: automate the volume, keep humans on the value.
Frequently asked questions
What is an AI voice agent?
It is an assistant that talks with your customers by voice in natural language, understands their request, fetches the right information from your systems and triggers an action (answer, booking, qualification, handover). It works on the web and on the phone, 24/7.
Why ElevenLabs and Twilio?
ElevenLabs Conversational AI provides natural, multilingual, low-latency voices that do not sound robotic. Twilio handles the phone channel (numbers, inbound and outbound calls, SIP). Together, the agent answers both on your site and on the phone.
Can the agent answer the phone, not just the web?
Yes. Through Twilio, the agent takes inbound calls and can place outbound calls (callbacks, follow-ups, surveys). The same agent can serve web, phone and other channels.
How long to put a voice agent in production?
Usually 2 to 3 weeks for a first working agent, depending on scope and integrations (CRM, calendar, APIs). Scope and price are fixed before we start, with a quote within 48h.
Is call data GDPR-compliant?
Yes, it is handled by design: caller notice, consent where required, minimal logging and controlled data hosting. I build the agent for compliant use on the European side.
What happens with complex requests?
The agent detects what it should not handle alone and hands over to a human with the context of the exchange. The goal is not to automate everything, but to absorb repetitive volume and keep your team for high-value cases.
Ready to start your project?
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