Budget: 27000 UAH Deadline: 14 days
Good day. I am ready to take your project into work. I can develop such a system for you using n8n. Message me privately, and we will discuss all the details and choose the best solution for you.
📌 About the project
The company is engaged in the import of cars (USA, Korea, Europe, China).
In the sales department, there are about 60 managers, with up to 5000 leads per month.
The task is to automate the quality control of calls and lead scoring based on AI.
🎯 Project goal
To create a system that automatically:
— receives call recordings
— performs transcription
— analyzes dialogues according to specified logic
— assigns scoring
— records the result in amoCRM
❗ Important: the result must be usable in business, not a demonstration (MVP).
⚠️ IMPORTANT (to avoid misunderstandings)
— The scoring logic and evaluation criteria have already been formed (will be provided)
— A “general analysis of calls” is not required, but maximum accuracy according to the specified logic
— The performer must assess the timelines considering this accuracy in advance
— Extending timelines after the project starts without objective reasons is unacceptable
🔧 WORK STAGES
The work is divided into stages with separate acceptance:
1️⃣ Stage 1 — Basic infrastructure (up to 7 days)
— receiving calls from Ringostat
— transcription (OpenAI/ Claude.ai / Whisper or similar)
— data transfer to the system
✅ Result:
there are correct texts of calls
2️⃣ Stage 2 — Analysis and scoring (up to 10–14 days)
— determining:
• customer needs
• objections
• quality of manager's work
• deal stage
• agreements
— implementing scoring:
• call evaluation (0–100)
• lead classification (cold / average / warm)
❗ Acceptance criteria:
— analysis accuracy of at least 85% on the test sample
— compliance with the provided scoring logic
3️⃣ Stage 3 — Integration with amoCRM (up to 5–7 days)
— recording results in the deal
— comments after the call
— filling in fields
4️⃣ Stage 4 — Logic of actions and signals
— recommendations: what to do with the client
— identifying problematic situations
— signals for the manager and ROP
Examples:
— selection not sent on time
— objection not processed
— client has "cooled off"
5️⃣ Stage 5 — Dashboard and analytics (up to 7 days)
The system should display:
📊 For ROP:
— manager ratings
— where clients are lost
— recurring mistakes and recommendations
— conversion by stages
📊 In breakdown:
— department
— branches
— specific manager
⏱ With the ability to select the period:
day / week / month / quarter / half-year
📌 All data is updated automatically
📌 IMPORTANT REQUIREMENTS FOR LOGIC
The system must take into account:
— depth of customer responses
— purchase timelines
— readiness for the next step
— behavior in dialogue
❗ Example of logic:
— gave many answers + has budget → warm
— does not respond → cold
— wants to come / check the car → signal
(detailed logic will be provided)
📊 Volume
up to 300,000 minutes of calls per month
📌 Scaling
The pilot is launched in one department (Lviv) to check the correctness of the system's operation.
❗ Scaling should not require reworking the system from scratch.
The architecture of the solution must initially provide for working with multiple branches.
In the case of a successful pilot, the system should be scaled to all branches without changing the logic and without additional payment for the scaling itself.
Discussion is allowed only for infrastructure costs (servers, API, storage), if they directly depend on the load volume.
📌 REQUIREMENTS FOR THE RESULT
The work is considered completed if:
— the system works automatically
— data is correctly recorded in the CRM
— scoring corresponds to the logic
— analysis accuracy ≥ 95%
— the system can be used in work
— the dashboard displays information correctly
📌 In the response, be sure to indicate:
— experience with amoCRM
— experience in AI / integrations
— project examples
— proposed stack
— timelines by stages
— cost
❗ Important:
Describe the solution in simple language (without overloading with terms)
📌 Who we are looking for
Not just a developer, but a person who:
— understands sales
— knows how to work with business logic
— does not complicate the system
— can explain in simple words, without complex terminology
— can assess timelines BEFORE starting work
📌 Additionally
We only consider performers who:
— are ready to work in stages
— fix timelines and results
— do not change timelines after the start without agreement
Budget: 27000 UAH Deadline: 14 days
Good day. I am ready to take your project into work. I can develop such a system for you using n8n. Message me privately, and we will discuss all the details and choose the best solution for you.
Budget: 27000 UAH Deadline: 55 days
Hello! I have carefully studied your specifications.
I specialize in AI quality control (QA) systems and deep integrations with amoCRM.
Architecture (in simple terms):
A volume of 300,000 minutes/month on regular builders (Make/Zapier) will consume a huge budget. Therefore, my stack:
n8n (on your server) — no subscription fee for the number of actions.
OpenAI Whisper (transcription) + GPT-4o-mini (fast and cheap scoring).
Looker Studio — free and visual dashboards for the sales manager.
Budget ($2800) and Stages (55 days):
Stage 1: Infrastructure (12 days) — $600. Server, connecting Ringostat, audio to text.
Stage 2: Analysis and scoring (19 days) — $900. Training AI to your logic (calibration on real calls to achieve 95% accuracy).
Stage 3-4: amoCRM + Signals (12 days) — $700. Recording results in deals, tagging, tasks for the sales manager.
Stage 5: Dashboards (12 days) — $600. Performance graphs by managers and branches.
❗ Important note regarding operational costs:
My work (assembly) is paid once. However, recognizing 300,000 minutes through the official OpenAI cloud API will cost you approximately $1500−1800/month (payment directly to the service).
Optimization option: To radically reduce these costs (to $200-300/month for renting "hardware"), we can deploy the Whisper model locally on a dedicated GPU server. This is a separate infrastructure task that is not included in the basic estimate and will be implemented for an additional fee if you want to optimize monthly budgets.
Scaling to other branches is already built into the architecture and will be free for you.
If this approach resonates with you — I am ready to discuss the details of Stage 1!
Budget: 27000 UAH Deadline: 10 days
I understood the task: it is necessary to integrate AI call analysis into amoCRM. This requires detailed work on automating the retrieval of calls, their transcription, and precise analysis according to the specified logic. The main challenge is to ensure a high level of accuracy (at least 95%), which entails the need for a clear development of analysis and scoring algorithms.
Action plan: in the first stage, we will establish the infrastructure for receiving calls and transform them into text using OpenAI or similar tools. Then, at the analysis stage, we will implement the logic for evaluating calls that is already established to ensure high accuracy of analysis. The final stage will be integration with amoCRM so that the results are automatically updated in deals.
It is important to clarify which specific scoring criteria will be used and whether there is a possibility to adjust the logic at later stages if the results turn out to be below expectations. It is also necessary to discuss the possibility of expanding the system when scaling to other departments.
We recommend discussing the details and starting with the approval of the work plan.
Budget: 27000 UAH Deadline: 20 days
Hello, I love such tasks and feel confident in them.
- I have extensive experience working with amoCRM, I have conducted similar AI integrations, and I have also written widgets for this CRM.
- Experience with AI/integrations, sales bots with responses and integrations into CRM, as well as bots that write articles and interact with the web.
- Examples of projects, I can send one link in a private message.
- The proposed stack Python for the backend is the best option, PostgreSQL for storing analytics.
- Timelines by stages work for you.
- Cost, $900.
Basically, if we start tomorrow on Monday, there will already be a test analysis on the recorded calls.
Regarding implementation, I will write in a private message, but briefly:
1. Call reception
— We connect to Ringostat via API.
— We automatically retrieve call recordings.
— We queue them for processing.
2. Transcription (speech → text)
We use: Whisper.
What happens:
— Audio is split into parts.
— It is translated into text.
— It is saved.
3. AI analysis
We use:
OpenAI API.
What the system does:
— Reads the dialogue.
— Applies YOUR logic (not "general AI analysis").
— Determines:
• Client needs.
• Budget.
• Purchase timeline.
• Objections.
• Client behavior.
• Manager errors.
• Deal stage.
The logic will be "embedded" strictly according to your technical specifications.
4. Scoring
The system calculates:
— Call rating (0–100).
— Lead type:
Cold.
Medium.
Warm.
Example:
— There is a budget + active dialogue → warm.
— Short responses → cold.
Everything according to pre-defined rules.
Budget: 27000 UAH Deadline: 7 days
Welcome! The Business Atlas team — architects of business processes — is ready to implement a project for automating quality control and scoring for your business. We specialize in creating autonomous digital ecosystems where AI and low-code architecture take over operational management, transforming complex routines into profit. Your request to process 300k minutes of calls and 5000 leads per month perfectly aligns with our philosophy: "System. Control. Result."
Our proposal for implementing the technical specifications:
1. Infrastructure and transcription (7 days) We will build a seamless integration between Ringostat and your "brain" based on n8n/Make. Our technical specialist will deploy stable workflows that will automatically retrieve call recordings and convert them into text using Whisper/OpenAI without writing expensive code.
2. Precision analysis and scoring (10–14 days) To achieve 95% accuracy, we will abandon general descriptions in favor of the strict logic of your business. Our project manager Oleg will transform your criteria (needs, objections, quality) into a clear technical architecture. AI will analyze each call based on specific parameters, allowing the system to act as an unbiased quality controller.
3. Integration with amoCRM and signal logic (5–12 days) We will set up a two-way data exchange, where the results of the analysis will automatically fill in deal fields and comments, creating a single "source of truth." At the same time, we will implement a system of instant notifications for the sales manager about critical situations (unresolved objections, loss of customer interest).
4. Dashboard and analytics (7 days) We will implement interactive dashboards to monitor the sales funnel and team effectiveness. You will receive a transparent ranking of managers and conversion analytics across all branches in real-time.
Why Business Atlas is your ideal partner:
Experience in scaling: We have implemented over 50 projects in the UA and EU markets. Our architecture is built with scalability in mind without the need for code rewrites.
Stability under high loads: We work with large volumes of data, ensuring a return on automation from the very first month.
Comprehensive approach: From technical audits of existing processes to developing a scaling strategy with a clear ROI calculation.
We propose to start with expert diagnostics. We will conduct an initial screening of your processes to prepare a custom roadmap for implementing a system that will operate without your involvement. When would it be convenient for you to discuss the technical architecture of your project?
Budget: 27000 UAH Deadline: 10 days
Hello, Yulia!
I can implement the solution as a modular system with phased delivery, so that each block works independently and can be scaled to all branches without changing the core.
At the transcription stage, I use a pipeline based on OpenAI Whisper or similar. Then, the data is structured so that the AI works not with "raw text," but with normalized dialogues.
I will implement analytics and scoring as a separate logical layer. It is important that the model will operate strictly according to the specified business logic, without free interpretation, to ensure stable accuracy and repeatability of results.
I will perform integration with amoCRM via API: recording scoring, comments, lead status, and recommendations for further actions by the manager.
I will create a dashboard with breakdowns by managers, branches, and periods. This will allow us to see not only the results but also the reasons for customer losses and points of drop in the funnel.
The architecture is designed for scalability from the start: new branches are connected as separate data entities without changing the scoring logic or AI model.
Working in phases with fixed acceptance is justified and critical here, considering the requirements for accuracy and business use of the system.
After discussing the details, I will be able to accurately assess the timelines and costs for implementation.
Budget: 27000 UAH Deadline: 7 days
Hello, I have been working on a call analysis automation system for a car dealership with 40+ managers - I integrated amoCRM with AI analytics, achieved 92% accuracy in lead scoring, and reduced processing time by 70%.
Do you plan to use the existing scoring criteria from Ringostat, or do you need a completely custom logic for evaluating call quality?
I suggest we get in touch, I will consult you for free on the technical side and we will create a development plan + I will tell you about my team!
Budget: 27000 UAH Deadline: 30 days
Good day!
Ringostat → transcription → AI analysis according to your logic → amoCRM — I have already built such a system.
Relevant cases:
1. AI Call Analysis (Make + OpenAI) (https://freelancehunt.com/showcase/)
I developed a system for the sales department: it automatically retrieves call recordings, transcribes them via Whisper, analyzes the manager's performance based on specified criteria, assigns a score, and records the result in the CRM. Result: the team moved from selectively listening to 10% of calls to 100% automatic coverage.
2. AI-Driven Data Enrichment Engine: Bitrix24 & Binotel via n8n (https://freelancehunt.com/showcase/work/ai-identifikator-lidiv-bitrix24-binotel/2021576.html)
Integration of Binotel (telephony — a direct analog of Ringostat) with Bitrix24 (CRM — the same class of systems as amoCRM) via n8n. The system automatically enriched deal cards with data from calls: transcription, dialogue analysis, updating fields in the CRM. This is exactly what you describe — only you have Ringostat instead of Binotel and amoCRM instead of Bitrix24. The API logic is similar.
Regarding your project:
Directly from amoCRM — through Bitrix24. Both systems are CRMs of the same class with REST API and similar entity logic (deals, contacts, fields, comments). The principle of operation is the same, the difference is in the endpoints. The amoCRM documentation is detailed, I am already familiar with the structure.
Technological Stack:
- n8n — orchestration (webhook from Ringostat, routing between services)
- OpenAI Whisper or AssemblyAi — transcription
- GPT-4o — analysis and scoring strictly according to your logic
- amoCRM API — recording score, comments, lead status, recommendations in the deal
- Supabase (PostgreSQL) — storing transcriptions, results, logs
Why n8n, not Python/NestJS: the business logic is visually apparent. You or your admin will be able to independently track what is happening with the call and not depend on the developer for minor changes in logic.
Terms and costs by stages:
Stage 1 - 7 days, 20,000 UAH
Stage 2 - 12 days, 50,000 UAH
Stage 3 - 5 days, 20,000 UAH
Stage 4 - 7 days, 25,000 UAH
Stage 5 - 7 days, 30,000 UAH
About the 95% accuracy:
Achievable — but there is a condition. A test sample of real calls with your manual evaluations (50–100 pieces) is needed for calibration before starting Stage 2. Without it, any performer gives you a number out of thin air. On the test sample, we fix ≥85% (acceptance condition for Stage 2), then in production — ≥95%.
One question:
In what format is your scoring logic documented — a table with criteria, a text document, or is it still in the team's head? This will determine how much time Stage 2 will take.
Budget: 27000 UAH Deadline: 25 days
Recently, I worked on a similar task:
- receiving events from calls from Binotel
- accounting for calls
- transcription and diarization (ElevenLabs)
- summarization (OpenAI compatible APIs)
- data extraction (OpenAI compatible APIs)
- saving artifacts (CloudFlare R2)
- integration with a custom CRM
Screenshot from CRM: https://kommodo.ai/i/Tp7jTp7uKuAx5a6wdCgV
Deadlines and amount - after additional discussions
Budget: 26990 UAH Deadline: 29 days
Good day!
My name is Valentin, and I represent Arctic Web Agency. We are a team that specializes in creating modern and effective solutions for business. 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
Budget: 27000 UAH Deadline: 3 days
Good day. I am ready to complete this project; I have extensive experience in developing various applications.
Budget: 26000 UAH Deadline: 45 days
Good day. I represent the Nexus Core team. We understand the task as implementing not a "demo AI," but a working system for call quality control and lead scoring for the sales department with integration into amoCRM: we retrieve recordings from Ringostat, perform accurate transcription, run the call through your established evaluation logic, assign a score and lead status, record the result in the deal, and then build a dashboard for the sales manager and branches. We are immediately laying out the architecture for a pilot in Lviv and further connection of all branches without redoing the logic from scratch. For the tech stack, we propose Node.js / Nest.js for the backend and processing queues, PostgreSQL + Prisma for storage and logic, OpenAI Whisper / GPT-4o for transcription and analysis, Next.js 14 + React + TypeScript for the dashboard, integration with amoCRM via API, deployment on VPS + Docker. This stack provides normal scalability for your volume and allows for transparent business logic, rather than hiding everything in "AI magic."
We have worked with amoCRM, have also done integrations with AI and telephony, and are familiar with Ringostat. We understand separately that for you, it is critical not just to have "call analytics," but to fit into the already established scoring model and fixed deadlines for the stages. Therefore, we see the implementation as follows: Stage 1 — Ringostat + transcription + data transfer, 7 days, $1,200; Stage 2 — analysis, scoring, and calibration to your logic, 14 days, $3,500; Stage 3 — recording results in amoCRM, 7 days, $1,000; Stage 4 — signals, recommendations, and control of problematic situations, 10 days, $1,500; Stage 5 — dashboard and analytics for managers, departments, and branches, 7 days, $1,700. Total estimate — $9,000, timeframe about 45 days. We will honestly note right away: the 95% accuracy benchmark is achievable only on real calls and a test sample from your side, so at the start, we are laying out a calibration and validation stage to ensure the result is suitable for business and does not just look good in a presentation.
Cases are under NDA, but in private messages, we are ready to tell you in detail about implemented projects with CRM, AI analysis, transcription, and internal dashboards. To accurately fix the result before starting, it is important for us to clarify 3 points: in what format Ringostat provides recordings and metadata, which fields and entities in amoCRM must be filled out after the call, and whether you already have a marked test sample of calls to check the accuracy of the logic. Write in private messages — we will clarify the details, fix the stages, deadlines, and provide a final estimate with a breakdown of work and infrastructure costs.
Budget: 27000 UAH Deadline: 30 days
Hello! I am ready to complete your task, I have experience working with similar tasks.
Budget: 27000 UAH Deadline: 20 days
Good day!
We have experience with integrations with amoCRM and the development of AI solutions (transcription, dialogue analysis, scoring). We understand that you need not a demo system, but an accurate tool tailored to your existing business logic.
Implementation:
— receiving calls from Ringostat
— transcription (Whisper / similar)
— analysis strictly according to your logic
— scoring and classification of leads
— recording results in CRM
— dashboard for the sales manager
Stack: Python (FastAPI), PostgreSQL, Redis, API integration.
We are ready to work in stages with fixed deadlines and results.
Our website: https://benefit-it.net/
Sincerely,
Benefit Studio
Budget: 27000 UAH Deadline: 3 days
Hello!
I am a Full-Stack Software Engineer with over 7 years of experience in developing websites, SaaS solutions, complex web platforms, and MVPs for startups - from idea and architecture to production and support.
I work not only as a developer but also with a focus on business logic, scalability, and long-term support of solutions. My portfolio includes examples of implemented projects of varying complexity.
Technology stack:
PHP (Laravel, Symfony, Yii2),
Frontend: JavaScript (Vue.js, React.js), HTML5, CSS3,
Databases: MySQL, PostgreSQL.
Regarding timelines and costs - at this stage, it is difficult to accurately assess them without clarifying the requirements. To form a reasoned estimate, it is usually necessary to understand:
- project goals;
- key functionality;
- expected load and integrations;
- priorities (quick launch vs scaling).
I suggest starting with a brief clarification of requirements or a call/email - after that, I will be able to provide a realistic estimate on timelines, budget, and implementation options.
I would be happy to discuss the details.
Budget: 27000 UAH Deadline: 25 days
Hello. I will build the architecture for AI scoring of calls with real-time data processing between Ringostat and amoCRM. For a volume of 300,000 minutes/month, it is optimal to deploy the open-source Whisper model on a dedicated GPU server — this will drastically reduce your monthly expenses compared to paid APIs. I will implement dialogue analysis, objection handling, and tagging using a combination of Python + Claude 3.5 (which better maintains complex sales context), and I will write dashboards for the sales manager in React. I have previously designed high-load systems with complex mathematics and API integrations (MAM terminals for trading, data processing pipelines).
Timelines and costs by stages:
• Stage 1 (Infrastructure + Transcription): 5 days, $300.
• Stage 2 (Prompt assembly, analysis, and scoring): 10 days, $500.
• Stage 3-4 (Signal logic + Integration of amoCRM API): 5 days, $300.
• Stage 5 (React dashboard with analytics): 7 days, $400.
Does Ringostat provide a webhook with a link to the audio file of the call immediately after it ends, or will it be necessary to write a parser for regular retrieval of recordings?
Budget: 26999 UAH Deadline: 5 days
Good day, there is a fully completed similar project, we can discuss the project details, write to me. Thank you in advance.
Здравствуйте, Юлия, хотел бы уточнить перед подачей заявки. У ringostat есть вкладка с AI, где есть как раз транскрибация (и другие аналитики для звонков). Так же эти данные можно получать для дальнейшего анализа. Я могу учитывать этот функционал в заявке, или же вы хотите полностью автономное решение?
Hello everyone! We are looking for a tester for a web wallet with AI. The project is at the start, we need to check the basics: registration, token transfers, swap, withdrawal. Experience with buying and withdrawing crypto is important, just to understand how to work. Who can start now?
We are looking for a 3D GenAI Engineer / AI 3D Pipeline Developer We need to create a solution that can qualitatively generate 3D models from one or more images. It is important that this is not just a ready-made demo, but a clear and reproducible process: from the input image to a full-fledged 3D asset with mesh, geometry, textures, and the possibility of further use. What needs to be done: * test modern image-to-3D models and approaches; * determine which option is best suited for our task; * understand Trellis, Hunyuan3D, or similar solutions; * if necessary, use Gaussian Splatting in the 3D pipeline; * set up the conversion of Gaussian Splat / splat representation into a 3D mesh; * obtain usable geometry; * generate high-quality textures; * bring the result to a usable 3D asset state; * find the optimal balance between quality, generation speed, and pipeline complexity; * build a clear process that can be repeated for different images; * perform fine-tuning, LoRA, or other model adaptations for specific types of objects; * be able to work with ComfyUI: understand graphs, use the ComfyUI API, and write custom nodes if necessary. In your response, be sure to show a few examples in the format: input image and the resulting 3D model. The format does not matter: render, video, 3D viewer, GLB, OBJ, FBX, or Blender file. We are primarily interested in realistic objects: furniture, jewelry, interior items, decor, accessories, and other physical goods. Examples from anime or stylized characters are not suitable.
Hello everyone! Who knows how to work and has been working with Open Claw agents for coding and other tasks? I need to organize parallel work of open claw code agents for coding on a virtual server. Requirements: - help choose a server for the agents (there are many ready-made options) - help set up the environment - connect the API Who can do this today? Who is available? I found these options online: https://clawhost.cloud/
About the ProjectA manufacturing company with several warehouses in Ukraine. More than 40 suppliers, both domestic and from China. Each supplier has its own terms for order processing and logistics.What We Want to ImplementAn AI agent for automating purchases and managing the movement of goods between warehouses. The agent is planned to be trained to work with each supplier according to their individual conditions.Current InfrastructureA procurement report is operational on QlikView (BI analytics via browser). Data updates every 30 minutes, the report is generated in the browser on the fly. Excel files can be exported from it.How We See the ImplementationDecide on a platform (OpenClaw, Claude Cowork, or similar) for building the agentDeployment on a VPS serverConnection to the analytics report via browserTraining using 2–3 suppliers as a pilotAgent FunctionalityGenerating orders to suppliers (training for each supplier separately)Moving goods between internal warehouses to maintain stockCreating tasks for specific groups of goods (for example, cutting into pieces and filling missing positions by lengths)Required IntegrationsTelegram: management through chat by several employeesCreating tasks in our CRM via APISending tasks to specific employees in the Telegram chatFuture PlansAfter the implementation of this stage, the creation of a sales analysis agent is planned, also based on the QlikView report.
Hello! Task: Develop and place an agent on a WordPress page (the programmer will insert the code into WordPress). The user should be able to communicate with the AI agent in text or voice format (if possible) based on a specific uploaded topic (content: texts, photos). Functionality: The user visits the website page. Sees the AI agent interface: chat + voice communication button (if possible). Can request text. Can speak, and the agent should recognize the speech and respond. The agent responds only based on the uploaded materials on the specific topic. If the question goes beyond the topic, the agent should correctly inform that it can only respond based on materials related to Skovoroda. Responses should be lively, understandable, and educational. The administrator should be able to upload and update materials: texts, PDFs, images, audio, links. Interested in the cost and timeline for developing the agent.