AI automation of telephony Binotel and chat

Budget: 27000 UAH Deadline: 21 days

Hello! Closest to your task from my side is a SaaS for a call center in real-time (React+Fastify+WebSocket) with an AI assistant, which I led from the specifications to production. So I understand both telephony and AI dialogue from both sides.

How I will do it:
• Integration with Binotel (API/webhooks) for incoming and cold calls
• Voice AI in Ukrainian: STT→LLM→TTS in streaming with minimal pauses (no "silence"); for the medical field — accurate information gathering before CT/MRI (areas, preparation, contraindications)
• AI in the Binotel chat or an effective alternative — unified logic with telephony
• Mandatory transfer of complex cases to a live operator + recording for examination

The tone is empathetic and professional in a medical context. Approximately 2–3 weeks in stages.
— Mykola

Budget: 27000 UAH Deadline: 7 days

Hello!
We are the Business Atlas team, official partners of n8n. Creating an empathetic voice and text AI assistant is a serious challenge, and my experience shows that we deliver it 100%.
The essence of your project relies on three critical nodes:
The first is natural voice communication (Voice Agent). Setting up a Ukrainian-speaking voice AI agent with minimal latency (up to 1-1.5 seconds) for incoming and outgoing lines. It speaks empathetically, conducts dialogues according to medical protocols, gathers medical history (presence of referrals, metal implants, pregnancy before MRI), and forwards complex cases to a live operator.
The second is a text AI assistant and booking. Integration of a smart agent into the Binotel chat or deployment of an alternative WhatsApp AI manager. The AI fully covers responses to FAQs, advises on preparation for CT (e.g., diet or contrast intake), and automatically books an available slot for a visit.
The third is a medical "source of truth" and CRM. Based on n8n, we will connect telephony, chats, and your medical CRM system. All recorded patient data, examination area, and contraindication status automatically enter the record card without manual transfer by the operator.
My experience as a project manager and my team's experience focus specifically on AI automations, CRM, and integrations. We have deep experience in the medical field (implemented CRM for online pharmacies considering specific nomenclature and developed email AI agents for a cardiology equipment company in Germany). As partners of n8n, we deploy all logic self-hosted on your VPS — this guarantees 100% protection of personal and medical data of patients in accordance with legal requirements.
Stack: n8n (automation core), Vapi / Bland.ai or local Voice APIs (for natural voice), GPT-4o/Claude (intelligence), Binotel API.
Relevant cases: Creating medical knowledge bases for AI, voice agents for e-commerce, and clinic automation from scratch.
MVP (Stage 1): Voice AI agent for incoming calls for basic consultation on CT/MRI and integration of text AI assistant into chats for appointment booking.
Timeline: MVP development — 4–5 weeks.
Message me privately — let me know which medical CRM you are currently using, and we will agree on a time for a quick call where I will demonstrate the work of our voice AI agents in real-time! Expand

Budget: 27000 UAH Deadline: 14 days

Hello.

I have experience with integrating AI into projects. Write to me, and we will discuss.

Budget: 27000 UAH Deadline: 12 days

Good day. For approximately 27,000 UAH, I would propose to carry out the first stage - designing scenarios, checking the integration with Binotel, and creating a working prototype of the voice and chat assistant. Full implementation for the medical center seems to be more expensive, as it is important not only to answer questions but also to securely collect data before CT and MRI =/

Look, there is a nuance here - the assistant must separately handle scenarios for incoming calls, cold calls, chat, initial consultations, appointments, clarifying the examination area, preparation, referrals, contraindications, and transferring to the administrator. I would build this through a knowledge base, dialogue scenarios, integration with Binotel via API/SIP or an alternative gateway, a dialogue log, and quality control of responses in Ukrainian.

Relevant cases
> https://business.ingello.com/lita - medical system with roles, processes, and clinic logic
> https://business.ingello.com/lita-doctor - medical scenarios for doctors and accurate data collection
> https://business.ingello.com/tts - voice solutions with artificial intelligence

Our profile of system projects - https://systems-fl.ingello.com/ua

To assess the full implementation, it is necessary to obtain
> whether your Binotel tariff includes access to API/SIP or webhooks
> where patient records are kept - Binotel, CRM, calendar, medical system, or manually

!!In the first stage!! I would check the technical feasibility of integration, prepare scenarios, create a prototype, and run 20-30 typical dialogues. This is a normal way to avoid spending the budget on a beautiful but fragile automation - measure seven times, cut once. Expand

Budget: 27000 UAH Deadline: 18 days

Alexandre, I can design AI processing for calls and chat for CT/MRI so that the bot politely collects the examination area, preparation, referrals, and contraindications, while passing complex cases to the operator. I work with telephony and web chat integrations, so I will help select Binotel or a better alternative, set up natural Ukrainian language, and quick escalation. I can send relevant cases and an implementation plan.

Budget: 27000 UAH Deadline: 7 days

Hello, I worked on an AI assistant for a medical clinic — we integrated a voice bot to handle incoming calls, reduced waiting time by 40%, and automated 65% of initial patient inquiries.

Oleksandr, do you already have a database of typical patient questions before CT/MRI, or will it need to be created from scratch together with your doctors?

I suggest we get in touch; I will provide you with a free consultation on the technical side and we can outline a development plan + I will tell you about my team!

Budget: 27000 UAH Deadline: 10 days

Hello, Oleksandr! Regarding voice telephony with live speech in real time - this is a specialized task (STT+LLM+TTS with low latency), I do not have direct experience specifically with real-time voice AI, I will say this right away, rather than making empty promises. However, the AI assistant for the Binotel chat is essentially my profile: structured data collection before CT/MRI (area, preparation, referral, contraindications), an empathetic tone according to the prompt, confidence threshold with the transfer of complex cases to the operator - a similar pattern (confidence threshold + human handoff) I have implemented in other AI agents. If you want, we can divide the tasks: I will take the chat part, for voice telephony I would recommend looking into ready-made voice-AI platforms (Vapi, Bland, ElevenLabs Conversational) as transport, and I will handle the logic/integration with CRM/Binotel.

Budget: 27000 UAH Deadline: 14 days

Good day! We have experience in implementing AI agents for integration with Binotel and CRM systems. We achieve this through the use of low-latency LLM and the setup of high-quality TTS/STT for natural Ukrainian speech. This will ensure the automation of patient registration and quality processing of incoming calls. We are ready to discuss the details of the technical task.

Budget: 27000 UAH Deadline: 14 days

😀 Hello!
✅ I will take on the implementation of AI in the telephony and chat of your medical center (CT/MRI).
🛠 How I will do it:
• Voice AI agent with natural Ukrainian language (STT→LLM→TTS, low latency, minimal pauses) for incoming and cold calls
• Integration with Binotel (API/webhooks) + AI assistant in Binotel chat (or an effective alternative)
• Script for initial consultation and scheduling for CT/MRI: gathering examination area, preparation, referral, contraindications — with data validation
• Empathetic professional tone + automatic transfer of complex cases to a live operator
• Recording in your CRM/system, dialogue logs, and analytics
🎯 I have experience in AI integrations, bots, and voice assistants — I will provide relevant cases in correspondence.
📎 Portfolio: Freelancehunt
✅ Ready to discuss details and exact timelines. Feel free to reach out 👌🙂 Expand

Budget: 27000 UAH Deadline: 27 days

Good day, Oleksandr.

The medical contact center for CT/MRI has a dual load: cold calls require quick qualification, while incoming calls need precise collection of clinical data before recording. Through the Binotel API, your AI assistant on Whisper + GPT-4o-mini will conduct a structured interview regarding the area, preparation, and contraindications, while ElevenLabs/Azure TTS will provide natural Ukrainian speech with pauses of 300ms. The Guardrails filter will automatically escalate complex cases to an operator, and the chat can be replaced with a Telegram bot for triage.

Options:

≈12 days: 12000–16000 UAH
Basic chat automation and incoming requests without complex voice interviews.
- AI assistant in chat for answering typical questions
- Automated collection of basic patient contact data
- Integration with Binotel for lead transfer to CRM
- Setup of simple redirection scenarios to an operator

≈22 days: 24000–32000 UAH
Full-fledged AI system for processing calls and chats with medical triage (Recommended).
- Voice AI assistant with natural Ukrainian language and minimal pauses
- Structured interview regarding examination areas and contraindications
- Guardrails system for automatic escalation of complex medical cases
- Integrated AI chat (Binotel or Telegram) for initial consultation
- Full cycle of testing the accuracy of clinical data collection

≈35 days: 40000–55000 UAH
Extended automation complex supporting cold calls and deep analytics.
- All capabilities of the previous option + module for processing cold calls
- Creation of an advanced Telegram bot with the ability to schedule examinations
- Deep optimization of response delays for maximum naturalness of speech
- Monthly audit of AI response accuracy and model retraining
- Integration with the internal medical patient accounting system Expand

Budget: 27000 UAH Deadline: 14 days

Hello.

I have worked on AI automation, integration with LLM through API, and various scenarios involving chats and telephony. Here, I would likely not limit myself only to Binotel, but would first look at what it allows through the API and build the solution from there.

For the medical center, it is crucial to carefully think through the scenarios so that the AI does not start to "fantasize," and in unclear situations, it simply transfers the person to an operator.

Regarding timelines and budget, we can discuss that after a brief conversation, as much depends on how deeply the calls and scheduling need to be automated.

Budget: 27000 UAH Deadline: 10 days

Hello. I can create an AI assistant for Binotel: incoming/cold calls + chat, in Ukrainian, with handoff to an operator. For CT/MRI, I will create a clear data collection scenario and handoff. I have experience with AI agents and APIs. How many calls are there per day now? The starting price is negotiable.

Budget: 27000 UAH Deadline: 3 days

Good day. There is already a ready solution for binotels. We just need to make a few adjustments to meet your needs! Write to discuss.
A script has been made in Go (without using any Asterisk or anything else), everything is written only in Go (Golang), and Google AI (speech to text + text to speech + Gemini)...

Budget: 27000 UAH Deadline: 5 days

For Binotel telephony, I see a solution through a voice AI agent with Ukrainian TTS/STT and low latency, connected via the Binotel API to incoming and cold calls. For chat — an assistant following the same scenario or I can suggest an alternative. The key is a script for collecting medical history before CT/MRI: examination area, preparation, referral, contraindications, with the transfer of complex cases to the operator. I will start with an audit of the Binotel API and the dialogue script. I will send cases from medical projects in private. I am ready to deliver the MVP in 5 days.