Vladyslav Svechynskyi

Offer Vladyslav work on your next project.

Kyiv, Ukraine

currently online

available for hire

age 20 years

on the service 21 hours 51 minutes

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AI & Machine Learning

228 place out of 2884

Bot Development

434 place out of 1936

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Outsourcing & consulting

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Architecture of secure storage of client data

AI & Machine Learning

Designing a structure for storing client data for small businesses with a focus on convenience, security, and manageability. The main task is to organize documents, client folders, access, roles, and internal processes so that the team can work systematically and not lose important files.

The project was focused on the practical side: how to store client data, how to separate access, how to quickly find documents, and how to reduce the risk of chaos in work files.

… What was done:

- Thought out the folder structure by clients;
- Described the logic of access rights;
- Prepared a document storage scheme;
- Thought out the separation of work and personal files;
- Described the working model through Google Workspace;
- Prepared the logic for file and task control;
- Thought out integration with CRM and spreadsheets.

Project KPI focus:

- Reduction of document search time;
- Decrease in the risk of file loss;
- Increase in access control;
- Improvement of internal data storage discipline;
- Acceleration of document preparation for clients.

Technologies: Google Workspace, Google Drive, Google Sheets, CRM, Document Workflow, Access Management.

#GoogleWorkspace #DataManagement #DocumentAutomation #CRM #Compliance #KPI
Automation of client communications through messengers

AI & Machine Learning

Designing a communication system with clients through Telegram, WhatsApp, and Viber with data transfer to CRM. The system helps to record the communication channel, maintain client history, send notifications, and move the client to the next stage of the funnel.

The project addresses the problem of fragmented messages, loss of context, and manual transfer of information between messengers and CRM.

… What has been done:

- Described the logic of working with different communication channels;
- Prepared CRM fields for recording the communication channel;
- Developed scenarios for initial communication;
- Set up the data transfer structure;
- Described client statuses;
- Prepared the notification logic for the manager;
- Thought through the transfer of the client between stages.

Project KPI focus:

- Reducing the risk of losing correspondence;
- Increasing the manager's response speed;
- Improving the quality of the client database;
- Controlling the sources of inquiries;
- Increasing conversion from message to consultation.

Technologies: Telegram, WhatsApp, Viber, amoCRM, Salebot, n8n, Webhooks.

#MessengerAutomation #CRM #amoCRM #Telegram #WhatsApp #SalesAutomation #KPI
AI automation of content and file generation

AI & Machine Learning

Designing automation for content and file generation through AI: the system takes input data from a spreadsheet, forms a prompt, generates a result, saves files in Google Drive, and records execution statuses.

The project is focused on repetitive tasks where it is important to obtain uniform results without manual preparation of each file.

… What has been done:

- developed the logic for launching from Google Sheets;
- described the structure of prompts and styles;
- thought through the generation of images/texts/files;
- configured the folder structure in Google Drive;
- prepared the logic for statuses and errors;
- considered budget and limit control;
- described the retry system in case of failures.

Project KPI focus:

- reduction of time for manual content generation;
- standardization of result quality;
- cost control of generation;
- reduction of errors;
- automatic storage of files in the correct structure.

Technologies: n8n, Google Sheets, Google Drive, AI Generation, Webhooks, Status Tracking.

#AI #ContentAutomation #n8n #GoogleSheets #GoogleDrive #Automation #KPI
Mini-CRM for internal task and client management

AI & Machine Learning

Designing an internal mini-CRM for managing clients, tasks, statuses, and reminders. The system is intended for a small team that needs a simple, affordable, and manageable alternative to complex CRMs.

The main idea is to combine clients, tasks, deadlines, statuses, and notifications in one workspace.

… What has been done:

- Designed the structure of the client database;
- Described entities: clients, tasks, statuses, deadlines, comments;
- Prepared Kanban and task list logic;
- Thought out email reminders;
- Described server access logic;
- Prepared architecture based on Supabase and Next.js;
- Planned integration with Telegram Mini App.

Project KPI focus:

- Improvement of task control;
- Reduction of information search time;
- Increased transparency in client interactions;
- Decrease in the number of forgotten actions;
- Creation of a unified database for the team.

Technologies: Next.js, Supabase, PostgreSQL, Telegram Mini App, Tailwind, shadcn/ui, TanStack Query, dnd-kit, Cron, Email Notifications.

#CRM #NextJS #Supabase #TelegramMiniApp #TaskManagement #KPI #InternalTool
Document and deadline control system

AI & Machine Learning

Designing a system for document control, deadlines, and mandatory actions for client processes. The system helps to understand which documents have already been received, which are missing, what needs to be requested from the client, and which tasks require urgent attention.

The project aims to reduce chaos in document flow and increase the manageability of processes, where it is important not to miss deadlines, files, signatures, and next steps.

… What has been done:

- Developed a checklist structure for documents;
- Thought through statuses for each client;
- Described the logic of reminders;
- Prepared a system for escalating overdue tasks;
- Considered integration with Google Drive / Workspace;
- Prepared a file storage model by clients;
- Described the notification logic for the team.

Project KPI focus:

- Reduction in the number of lost documents;
- Control of deadlines and mandatory actions;
- Acceleration of the preparation of a complete data package;
- Reduction of manual checks;
- Increased transparency of team work.

Technologies: Google Workspace, Google Drive, Google Sheets, n8n, Telegram, CRM, Task Automation.

#DocumentAutomation #GoogleWorkspace #n8n #CRM #TaskControl #KPI
AI reporting via Telegram: voice → text → table

AI & Machine Learning

Automation of reporting via Telegram: an employee sends a voice message, the system converts it to text, AI classifies the information, verifies the data, and saves the result in Google Sheets or an internal table.

The project is suitable for construction, service, and field teams where employees find it inconvenient to manually fill out reports after each task.

… What has been done:

- Developed the logic for receiving voice reports;
- Set up audio transcription to text;
- Prepared AI classification of reports;
- Thought through data completeness checks;
- Implemented recording in the table;
- Prepared statuses and notifications;
- Created a structure for quick control by the manager.

Project KPI focus:

- Reduction of report preparation time;
- Decrease in errors during manual input;
- Increase in reporting discipline;
- Quick access for the manager to data;
- Standardization of report formats.

Technologies: Telegram Bot, AI Transcription, n8n, Google Sheets, Webhooks, AI Classification.

#Telegram #AI #ReportingAutomation #VoiceToText #GoogleSheets #n8n #KPI
Automation of sales call analysis

AI & Machine Learning

Project for automating sales department call analysis: the call recording is uploaded to the system, undergoes transcription, is analyzed by an AI model, and is transformed into a structured report with conclusions, quality assessment of the conversation, and recommendations.

The goal of the project is to provide the manager with a tool for quality control of sales without manually listening to each call.

… What has been done:

- Designed the process for uploading and processing calls;
- Thought through integration with file storage;
- Described the logic of audio transcription;
- Prepared the structure for AI call analysis;
- Developed a quality report model for the conversation;
- Planned the sending of the report to Google Drive / email / CRM;
- Prepared the logic for evaluating the manager based on criteria.

Project KPI focus:

- Reduction of time spent on manual call analysis;
- Increased transparency of the sales department's work;
- Quality control of communication;
- Identification of weak points in scripts;
- Improvement of manager training;
- Increased conversion through analysis of real dialogues.

Technologies: n8n, Zoom API, AssemblyAI, AI Analysis, Google Drive, Email Automation, PDF Report, Vector Database.

#AI #SalesAnalytics #CallAnalysis #n8n #Automation #KPI #Sales
Automation of requests: form → n8n → CRM → Telegram

AI & Machine Learning

Development of an automated link for processing incoming requests: the client fills out a form, the data goes to n8n, a record is created in the database or CRM, after which the manager receives a notification in Telegram with key information and status buttons.

The project addresses the problem of manual data transfer, delays in response, and loss of requests between different channels.

… What has been done:

- Designed the request processing flow;
- Configured data transfer from the form;
- Implemented logic for recording in CRM / NocoDB / Google Sheets;
- Prepared notifications in Telegram;
- Thought through status change buttons;
- Described a unified structure for lead_id / contact_id;
- Prepared the logic for further actions by the manager.

Project KPI focus:

- Reduction of manual data entry;
- Acceleration of response to new requests;
- Decrease in the risk of losing leads;
- Increase in transparency of statuses;
- Creation of a unified database of clients and inquiries.

Technologies: n8n, Telegram Bot, Google Sheets, NocoDB, Webhooks, Calendly, CRM.

#n8n #WorkflowAutomation #TelegramBot #CRM #NoCode #LowCode #KPI
Voice AI agent for client qualification

AI & Machine Learning

Designing a voice AI agent for initial call processing, client qualification, and passing the results to the manager.

The agent operates according to a specified script: greeting the client, asking questions, clarifying needs, gathering key information, determining the next step, and recording the outcome. The main focus is to automate the initial contact and reduce the workload on managers.

… What has been done:

- Developed the role of the voice agent;
- Described the communication style and limitations;
- Prepared the qualification script;
- Thought through the logic for handling objections;
- Set up the data transfer structure;
- Prepared a knowledge base for responses;
- Described guardrails to ensure the agent does not deviate from the script.

Project KPI focus:

- Reducing the workload on managers;
- Accelerating initial contact with the client;
- Increasing the share of processed inquiries;
- Standardizing call quality;
- Recording the call outcome in a structured format.

Technologies: Vapi, SIP Trunk, AI Agent, CRM, Webhooks, Knowledge Base, Call Automation.

#VoiceAI #Vapi #AIAgent #CallAutomation #CRM #KPI #SalesAutomation
CRM funnel for a customer assistance project in Germany

AI & Machine Learning

Setting up CRM logic for a client support project in Germany: from initial inquiry to consultation, document collection, scheduling the next step, and monitoring client status.

The project focused on ensuring that managers do not lose applications, quickly understand client status, and work within a unified system. The stages of the funnel, mandatory fields, communication channels, statuses, and the logic of information transfer between the manager, client, and internal processes were carefully planned.

… What was done:

- Developed the structure of the client funnel;
- Set up deal stages;
- Thought through mandatory client fields;
- Added communication channels: WhatsApp, Telegram, Viber;
- Described the logic of statuses and transitions;
- Prepared communication scenarios;
- Designed a system for monitoring the next action.

Project KPI focus:

- Increasing transparency in client interactions;
- Reducing the number of lost applications;
- Accelerating lead processing;
- Improving data quality in the client card;
- Monitoring conversion between funnel stages.

Technologies: amoCRM, Salebot, Telegram, WhatsApp, Google Sheets, n8n, Webhooks.

#CRM #amoCRM #Automation #SalesFunnel #LeadManagement #KPI #ClientProcess
Telegram bot controller for client processes

AI & Machine Learning

Designing a Telegram controller bot for client support within work chats. The bot helps guide the client through a checklist, monitors deadlines, collects documents, sends templates, reminds about incomplete actions, and escalates issues to the team’s work chat.

The main goal of the project is to eliminate chaos from client support and make the process manageable: every step is recorded, each task has a status, and incomplete actions are not lost.

… What has been done:

- Developed the structure of the client chat;
- Created the logic of checklists by stages;
- Thought through reminders and deadlines;
- Implemented a scheme for escalating incomplete tasks;
- Described the logic for collecting documents;
- Prepared a model for data transfer to CRM or spreadsheets.

Project KPI focus:

- Reduction in the number of forgotten tasks;
- Monitoring deadlines for each client;
- Decrease in manual reminders from the manager;
- Increase in transparency of the client process;
- Acceleration of the execution of support stages.

Technologies: Telegram Bot, n8n, Google Sheets, CRM, Webhooks, Task Automation.

#TelegramBot #Automation #TaskManagement #CRM #ClientSupport #KPI #n8n
AI assistant for client qualification and application processing

AI & Machine Learning

Development of an AI assistant for initial client qualification, data collection, and submission of requests to the manager in a structured format.

The project was built around the task of reducing the manual work of the manager and speeding up the processing of incoming inquiries. The assistant asks the client questions according to a script, identifies needs, collects key data, records the source of the inquiry, and prepares the request for further work in the CRM.

… What has been done:

- Developed dialogue logic for client qualification;
- Configured question and answer scripts;
- Implemented data transfer to CRM / spreadsheets / work chat;
- Thought through request statuses and next steps;
- Added notifications for the manager;
- Prepared a structure for data quality control.

Project KPI focus:

- Reduction of initial request processing time;
- Decrease in manual data entry;
- Improvement in the quality of client card completion;
- Reduction of the risk of losing requests;
- Acceleration of the client's transition to consultation or deal.

Technologies: AI assistant, Telegram, CRM, Google Sheets, Webhooks, n8n, Salebot, amoCRM.

#AI #Automation #CRM #Chatbot #LeadGeneration #KPI #n8n #Telegram

Activity

	Latest proposals 2	Budget	Added	Deadlines	Proposal
	Performer with knowledge of Spanish for calls to Spanish-speaking companies 601 USD	601 USD	12 Jun	7 days
	Telegram chatbot for a closed club 22 USD	22 USD	12 Jun	1 day