AI agent implementation case studies

These are real AI Assist projects: the task we solved, what we deployed and the result in numbers. We work with sales, support, HR, logistics and analytics across industries — from e-commerce to healthcare.

Telegram bot-agent for tasks in Slack

Telegram Bot-Agent for Task Management in Slack

A manager sets tasks, tracks completion, and messages the team right from Telegram — while the bot syncs everything with Slack.

Client: NDA
Telegram Bot APISlack APIn8nGPT-4

Results:

  • Freed 2+ working hours of the manager every day
  • No task slips through — deadline control is automatic
AI email triage and task routing across departments

Automated Email Triage and Task Routing Across Departments

AI reads incoming client emails, detects the topic, routes them to the right department, and assigns an owner — with deadline control.

Client: NDA
GPT-4n8nGmail APICRM

Results:

  • Inbox is sorted in seconds, with no manual triage
  • Every email reaches the right department the first time
AI employee for onboarding new team members

AI Employee for Onboarding New Team Members

Runs a new hire's onboarding: answers questions about the team, upholds policies, and monitors the probation period.

Client: NDA
GPT-4Vector DBSlackRAG

Results:

  • New hires are productive from the very first days
  • HR is freed from newcomers' routine questions
AI accountant with a tax-optimization knowledge base

AI Accountant with a Tax-Optimization Knowledge Base

Analyzes bank statements, prepares tax reports by the required form, and advises on legal tax optimization — powered by its own knowledge base.

Client: NDA
GPT-4Vector DB (RAG)PythonPostgreSQL

Results:

  • Tax reports in the correct form — many times faster
  • Legal tax optimization powered by a proprietary base
Online store interface with chatbot

AI Assistant for E-Commerce Platform

Development of an intelligent assistant for an online store with personalized recommendations and customer support.

Client: TopShop Ukraine
GPT-4LangChainPythonRedis

Results:

  • Support load reduced by 45%
  • Conversion rate increased by 23%
Medical AI interface on doctor tablet

AI Symptom Pre-Analysis System for Clinic

Development of an AI system for preliminary patient symptom analysis and routing to specialized doctors.

Client: MedClinic Network
Claude APIPythonFastAPIMongoDB

Results:

  • Wait time reduced by 30%
  • Routing accuracy 94%
Map with optimized delivery routes

AI-Powered Logistics Optimization

Implementation of an AI system for delivery route optimization and demand forecasting for a logistics company.

Client: FastLogistics
PythonTensorFlowGoogle OR-ToolsPostgreSQL

Results:

  • Fuel costs reduced by 18%
  • Delivery time optimized by 25%

Examples of AI implementation in business

The AI Assist portfolio shows how AI agents work in practice: a Telegram bot for task management, automatic mail sorting by department, an AI employee for onboarding, an accountant bot with tax optimization, an assistant for an e-commerce platform and a preliminary symptom-analysis system for a clinic. In every project we trained the agent on the client’s data and integrated it into their workflows. These cases show that AI automation delivers measurable results: time saved, faster response and lower team workload.

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