Technical task: AI assistant (text + voice) + CRM + API

Good day, Vlad 🙌

We see your request for an AI assistant with text + voice, integration into CRM, and execution of actions via API.

We can implement this as a turnkey system solution, not just a bot for FAQs.

What we will do:
• AI assistant for text responses based on your knowledge base
• Integration with ElevenLabs for voice output
… • Escalation logic to an operator
• Logging of all dialogues
• Integration with CRM: creating and updating leads, changing statuses, retrieving data
• Executing scripted actions via API

An important point: for the assistant to work effectively, it is necessary to properly design the scenarios and the connection AI → CRM → status → action. This is where most solutions "break down."

Please let us know:

1. Which CRM is being used?
2. What is the main scenario: lead generation, support, sales, or service?
3. Is only text + TTS planned, or is full voice interaction in a call intended?

We are ready to propose a solution architecture with implementation stages and estimated costs after clarifying the details.

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Vlade, good day.

I am writing on behalf of The Dev Company. We are currently working at the intersection of AI + CRM + API, so your task is very close to us.

Briefly about the approach — how to make the assistant a working tool, not a "toy":

1. Assistant's knowledge. Instead of just "feeding" the FAQ model, it is better to build a RAG approach: a separate knowledge base (vector/structured) from which the assistant takes facts. If the answer is not available — escalation or an honest "I don't know," rather than fabricated answers.

2. Actions in CRM. It is incorrect to give LLM direct access to the API. Correctly — through clearly defined "tools": the model decides "what to do" (create/update a lead, change status), and our backend safely handles "how to do it" through your API. This protects the CRM from erroneous or unwanted entries.
…
3. Voice through ElevenLabs. Instead of a complex "stitched" scenario in no-code, we build one robust backend gateway: channel → LLM with FAQ → ElevenLabs (TTS) → simultaneously logging and CRM calls. The client quickly receives a voice response, while heavy operations are processed asynchronously.

4. Escalation to an operator. Not just "transfer the chat," but immediately form a brief summary of the dialogue (who, what they wanted, what has already been done), so the manager can enter the context in a few seconds.

As a result, you get an AI assistant that:

- speaks text and voice through ElevenLabs;
- safely works with CRM and API;
- logs all dialogues and correctly transfers to the operator.

We are ready to dive into your FAQ, CRM, and API and propose an architecture that can withstand real traffic, not just a demo.

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Good morning, Vlad.

You need an assistant who not only responds but also performs actions in the CRM without errors: creates leads, changes statuses, escalates dialogues, and works correctly with voice.
The key is control of API calls and stability under load.

I will build a fault-tolerant backend in Golang that ensures minimal latency in processing voice streams and parallel execution of requests to the CRM.
Using Goroutines will allow for asynchronous logging of dialogues and updating lead statuses without making the client wait for a response from ElevenLabs.

The system will function as a high-performance gateway: processing incoming webhooks, querying the LLM using FAQ context, and instant transmission of text for speech synthesis.
… Thanks to Go's typing, integration with your API will be protected from errors in data structure, and built-in testing tools will ensure stable escalation to an operator when complex scenarios are detected.

Result: An AI assistant in Go that removes 80% of routine workload, accurately responds to clients, and performs actions via API.
Ready for testing in 3 weeks. The code will be optimized for high load and easily scalable.

I will deploy the solution in Docker and provide documentation. The source code is included.

Should support for WebSockets for real-time two-way voice communication be implemented, or is exchanging audio files sufficient?

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Good day. I am ready to complete this project as I have extensive experience in application development.

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Good day!
My name is Valentin, and I represent Arctic Web Agency. We are a team of experienced web developers who specialize in creating modern and effective web solutions for businesses. I can provide examples of our similar work in personal messages. We are ready to take your project to work!

Sincerely,
Arctic Web Team
Freelancehunt

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Hello! My name is Vladislav.

Your project is very close to me: I have practical experience in creating full-fledged AI agents for calls based on Retell AI (which operates on ElevenLabs technologies). Therefore, setting up quality voice responses and text communication is a clear and well-practiced task for me.

My proposals for implementation:

Knowledge Base (RAG): I will configure the agent to use exclusively your vector database. This will eliminate AI hallucinations — it will take data only from the FAQ and will not "invent" answers.

Integration with CRM: I have extensive experience working with CRM system APIs (specifically Kommo). I can easily set up the logic for creating leads, changing statuses, and retrieving data through the API of any other CRM.
…
Voice and Logic: I will set up seamless integration with ElevenLabs. The agent will not just read text aloud but will perform actions during the dialogue (Tool-calling).

Control: I will ensure detailed logging of all dialogues and a clear escalation logic to an operator.

I understand how to make the AI assistant not a toy, but a real working tool for your business.

I am ready to discuss the project details in private messages, analyze your scripts, and propose the optimal architecture for the solution.

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Good evening. I can do it. You can send the details privately. You will need to pay for the VPS.

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Good afternoon, there is a closed case in the profile regarding a voice agent, there is experience in creation. For your task, I would use N8n - faster deployment and fewer bugs. Please let me know what CRM you have.

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Hello!

I specialize in automation through the service Make.com, I can create an AI assistant for you to communicate with clients, give it your knowledge base and memory (the last 5-10 messages) in a specific chat. The assistant will have your CRM system as a tool and will perform tasks there according to the prompt, and if necessary, transfer the chat to a person with a brief summary. The assistant's responses will be text that will be converted to voice via the ElevenLabs API and will respond in voice. Additionally, it will store the communication history in a table. In the end, you will have a ready AI assistant and instructions for its operation. We can discuss the cost)

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