AI in business processes (sales + CRM + chat-bot + dashboard)

Good day, I have been working in this field for more than 9 years, I have experience: php (symfony, laravel, OpenCart, wordpress), javaScript (vue, react, nuxt, nextJs, jquery), html, css (SASS/SCSS), sql (PostgreSQL, MySQL). I am ready to complete this project, with quality and in a short time. Examples of recently completed projects: https://rsps-server.com/ https://asgard-ksm.com.ua/ https://iheal.com.ua/ https://lingvanex.com/ https://cohntm.com/

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Good day, Ernest!

I, Vitaliy, am an experienced CRM system developer with over 5 years of experience, and I would be happy to help you with the creation of a CRM system. I have already done a similar project to yours. Do you have a design or references that you like? I would also like to discuss in more detail the functionalities that will be in your CRM system.

As a result of our collaboration, you will receive:

- Turnkey development – from development to launch
- A reliable, optimized, secure, and fast CRM system
- Transparency in work and constant communication
… - Support is guaranteed after the project is completed

Please review my portfolio:
Freelancehunt

I am ready to discuss your project and offer the best solution. Write to me – we will find the optimal approach!

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Hello! 👋

I have experience in developing AI platforms, CRM automations, RAG systems, integrations with Bitrix24, telephony, 1C, LLM API, and analytical dashboard solutions for B2B.

Technology stack used:

Backend:
Python + FastAPI
PostgreSQL
… Celery + Redis for background processing of calls, transcriptions, and reports
Claude API as the main LLM model for analysis, scoring, and recommendations
REST API for CRM, dashboard, and internal services
Role-based access: manager / administrator

AI / Integrations:
Claude API for scoring calls, AI reports, CRM analysis, and recommendations
Whisper or Deepgram for transcription in Ukrainian/Russian
Bitrix24 API for leads, deals, activities, correspondence, and managers
Telephony for obtaining call recordings
1C read-only integration for production metrics: plan/fact, output volumes, anomalies
RAG system for the company's knowledge base
Vector DB: Qdrant / pgvector

Frontend:
React / Next.js
Manager dashboard: call ratings, errors, recommendations
Director dashboard: sales, leads, conversion, activity, production from 1C
Knowledge base panel for uploading instructions and business processes
Filters by managers, periods, deal statuses, and lead sources

Infrastructure:
Docker
Docker Compose
Nginx
VPS / Cloud deployment
CI/CD
Logs, monitoring, backup
Secure storage of API keys and read-only access

I am ready to discuss the architecture, MVP stages, integrations, and telephony, and prepare a technical roadmap for implementation.

Best regards,
Andriy

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Hello! Your task is to build a serious analytical ecosystem where AI acts as a connecting link between sales and production. My experience in creating complex MAM terminals and real-time monitoring systems allows me to implement an MVP architecture that will be stable and ready for scaling. I will implement this project based on Python and React for the frontend dashboard. For call processing, I will integrate Whisper, and I will build the analysis and scoring logic on the Claude API according to your requirements. What you will receive within the MVP: • Deep analytics: Scoring 100% of calls using the Claude API to identify the reasons for lost deals. • Bitrix24 integration: Automation of monitoring "forgotten" leads and prioritization based on sentiment analysis. • Connection with 1C: I will implement a read-only connection to the 1C database to display real production metrics on the manager's dashboard. • RAG knowledge base: I will create an intelligent assistant for employees that will answer questions about the company's business processes. I have experience working with exchange and broker APIs (Binance, cTrader), where data accuracy and processing speed (< 1 sec) are critically important. I will apply this same expertise to your manager's dashboard.

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Hello, I can do it.
I have experience with all types of integrations that you described, I have created a full-fledged call scoring system.
I will do the project in Python, package it in Docker.

Write to me, we will discuss the details of the technical specifications and estimates.

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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 / correspondence - 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.

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Hello Ernest! I have reviewed your task for creating an MVP AI platform. The project is extensive, but breaking it down into stages is the right approach.

I have practical experience working with API integrations (specifically with CRM), databases, and AI tools (Claude, OpenAI). For such a complex pipeline, I can suggest building processes through Make or n8n as a powerful "bridge" between Bitrix24, Whisper/Deepgram modules, Claude API, and the database for dashboards. This will allow for flexible configuration of scoring logic and data routing without the need to write monolithic code from scratch, significantly speeding up the MVP launch. We can implement the internal bot through the Telegram Bot API with a connected RAG system. I can send examples of similar architectures and integrations in private.

I have two clarifications for an accurate assessment: what telephony is currently being used (is there an open API for exporting records) and in what format is your knowledge base for RAG currently stored?

Timeline: 30–45 days for the full MVP cycle (we break it down into sprints for each module).
Cost: starting from 25,000 UAH, I will be able to provide an exact estimate after discussing the telephony and access to 1C/Bitrix.

… I would be happy to help with the project.

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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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Ernest has reviewed the technical specifications — the stack and the task are familiar, and the MVP can realistically be completed in stages as described.

Specifically regarding the modules: I will set up automatic transcription of calls through Whisper, connect the Claude API for scoring each recording — script, tone, client objections, reasons for lost deals. A manager dashboard with evaluations and recommendations. Next — Bitrix24 REST API: searching for forgotten leads, prioritizing leads based on activity and tone of correspondence, synchronizing statuses. I will raise an RAG chatbot for employees on the Claude API — uploading job descriptions and business processes, an admin panel for updating the knowledge base without involving a developer. A consolidated dashboard for the manager: FastAPI backend, sales and lead analytics, integration with 1C through a read-only connection to the database, daily AI report, and anomaly detection through Claude.

One clarification: what version of 1C and where is the server deployed — this affects the method of read-only connection (direct to MSSQL/PostgreSQL or via COM/HTTP-connector).

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Good day!

I have experience in developing MVP AI platforms for B2B using Claude API, integration with Bitrix24, telephony, and 1C.

I will do the following turnkey:

Transcription + scoring of calls (Whisper + Claude API)

CRM control: forgotten leads, prioritization, sentiment analysis
…
RAG chatbot based on the company's knowledge base

Dashboard for the manager with data from 1C (production volumes, plan/fact, anomalies)

Daily AI report with insights

MVP (sales + CRM):

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Good day. I can implement an MVP AI platform for automating the sales department, CRM, and management analytics with integration to Bitrix24, telephony, and 1C. The foundation is the Claude API for analyzing calls, correspondence, and generating recommendations.

Within the MVP, there will be automatic transcription of 100% of calls (Whisper or Deepgram) with scoring: adherence to the script, tone, customer objections, as well as identifying reasons for lost deals. For managers, there will be a dashboard with evaluations and recommendations.

For CRM, automatic search for forgotten leads without activity, prioritization of leads based on activity and tone, analysis of correspondence, and integration with Bitrix24 via API.

There will also be an internal AI chat based on the knowledge base: RAG on Claude API, responses to employees regarding processes, and the ability to update the knowledge base without a developer.

For the manager, a consolidated AI dashboard for sales, leads, conversion, manager activity, production data from 1C (plan/fact), and a daily AI report with insights and detection of discrepancies between sales and production indicators.
…
We can start with the MVP for sales and CRM, after which we can expand to other modules.

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Hello! I fully understand the task — an AI platform is needed that automates sales, CRM, and provides the manager with clear analytics with integration into Bitrix24 and 1C. I have experience with integrations of Claude API, RAG systems, and business process automation. I propose to first implement an MVP for the sales and CRM modules (call transcription, scoring through Claude, lead control, correspondence analysis), and then expand. I will develop a modular architecture, implement integrations with Bitrix24 API, 1C (read-only database), and the telephony system. I will include an adaptive dashboard for managers and a unified dashboard for the manager with production data. The work will be phased with demos and feedback. I am ready to start immediately.

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Good day!
I have 4+ years of experience in AI automation, CRM integrations, building internal chatbots, analytical dashboards, and working with APIs at the business process level.
I can implement an MVP AI platform for sales and CRM: transcription and scoring of calls, control of forgotten leads, prioritization of leads, integration with Bitrix24 via API, internal AI chat based on a knowledge base, and a dashboard for the manager with analytics on sales and production.
I suggest discussing the details, as well as the cost and timelines in private messages.

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Good day! We have reviewed your project and are ready to effectively implement the first stage of the AI agent in Telegram with further scaling. We have practical experience in integrating OpenAI API, developing Telegram bots, and building AI logic for non-standard tasks.

What we can offer:
• Development of a Telegram bot in Python (aiogram / FastAPI)
• Full integration of OpenAI API
• Correct implementation of a large system prompt (~12k characters) considering stable operational logic
• Setting up dialogue context and message memory
• Error handling, logging, and protection against failures
• Flexible architecture for the next stages of the project
…
Answers to your questions:

1. We have experience working with OpenAI API — chatbots, AI assistants, process automation.
2. We have created Telegram bots of various complexities: client services, AI bots, CRM integrations, internal assistants.
3. The long prompt is implemented through a structured system instruction, dividing logic into blocks, token control, maintaining agent behavior, and optimizing context.
4. The timeframe for implementing the first stage: 3–7 days depending on the details of the technical specifications.

We approach tasks not just as executors, but as a technical partner — we can offer optimal solutions for architecture and product development.

Our website: https://benefit-it.net/
Sincerely, Benefit Studio

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Hello!

I develop bots for Telegram using NodeJS. I am ready to take on the task. Write to me, we will discuss.

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Hello, Example of my AI bot https://217-154-170-186.nip.io/ In principle, I implemented something similar through commo, but there will be no problems with Bitrix either, I would be happy to work.

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Good day
My name is Dmytro, representing King Kong Lab
Your project brief is exactly the level of tasks we work with: not just "AI features," but building a system that truly manages sales and processes
We can develop the MVP of the platform step by step, starting with the sales and CRM block, with further scaling
What we will do
1. Calls and analytics
transcription (Whisper / Deepgram)
analysis through Claude (script, tone, objections)
identification of reasons for lost deals
… manager dashboard with evaluations and recommendations
2. CRM (Bitrix24)
integration via API
forgotten leads + auto-reminders
lead prioritization
analysis of correspondence
3. AI bot (RAG)
chatbot based on knowledge base (Claude API)
responses for employees
admin panel for content updates
4. Manager dashboard + 1C
consolidated analytics (sales, conversions, activity)
integration with 1C (read-only)
AI reports with recommendations
identification of anomalies (sales vs production)
Approach
we build not a "set of functions," but a unified system
with logic, analytics, and scaling
Technologies
Claude API (core)
Node.js / Python backend
Bitrix24 API
STT (Whisper / Deepgram)
RAG (vector DB)
We have experience in building AI agents, integrations with CRM, and analytical systems
We are ready to discuss the architecture and break the project into phases
I would be happy to collaborate

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It is necessary to understand the scale and what is already ready. It is unclear what your telephony is, whether it can correctly handle calls. Write in private messages, we will discuss in more detail. Deadlines and costs will be determined after understanding the nuances.

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Please advise: what is the average volume of calls per day/week and where are the recordings stored (Bitrix24 or separate telephony)? Will we be able to get test access to Bitrix24 (API) and a few examples of internal instructions to start RAG? Do you confirm the transcription languages — Ukrainian/Russian?

We will create a phased MVP: FastAPI + React + Postgres, Claude API for scoring/analytics/recommendations, Whisper/Deepgram for transcription, integration with Bitrix24 (API). We will implement: 100% transcription, call scoring, forgotten leads, prioritization by activity and sentiment, manager dashboard. Next — RAG-bot based on the knowledge base and a consolidated dashboard (including 1C read-only). We have real experience in CRM integrations, dashboards, and AI pipelines.

We are ready to discuss the details and do a quick demo scoring on 2–3 recordings within 48 hours. Please write when it is convenient to call.

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