Varus, a supermarket chain
Answers employees' questions from the Confluence knowledge base, in text and voice on Telegram, with links to the original sources. Daily sync, deployed on the client's infrastructure.
Banking, e-commerce, logistics, sales, healthcare, EdTech, HR, and enterprise.
work hours saved per month with AI order management
staff costs, thanks to intelligent chat agents
of inquiries retained through automated lead qualification
sales growth from AI-personalized offers
Answers employees' questions from the Confluence knowledge base, in text and voice on Telegram, with links to the original sources. Daily sync, deployed on the client's infrastructure.
120,000 pages of documents per month (invoices, completion certificates, delivery notes) were processed manually. A modular AI platform: automatic classification, data extraction, SAP reconciliation, multilingual normalization.
Routing via Binotel: the AI picks up when managers are busy. The agent creates a lead and a short summary in the CRM, so the lawyer knows the gist of the case before picking up the phone.
A multilingual assistant with automatic lead capture, appointment booking, smart escalation to an operator, and follow-up reminders.
An AI assistant answers employees' questions from the internal Confluence knowledge base, in text and voice on Telegram, with links to the original sources. Automatic daily sync, deployed on the client's infrastructure.
Smart routing via Binotel: the AI steps in only when managers are busy. The agent adapts to the conversation and automatically creates a lead and a short summary in the CRM, so the lawyer knows the gist of the case before picking up the phone.
A multilingual AI assistant with automatic lead capture, appointment booking, smart escalation to an operator, and follow-up reminders.
One live platform instead of Excel: a real-time dashboard for the entire workforce, a 9-box talent matrix, succession planning, and automatic attrition-risk detection. One screen, the full picture.
Managers couldn't keep up with the flood of requests in peak season. We deployed an AI assistant that processes inquiries automatically and replies instantly, 24/7.
Managers took 2+ hours on average to reply, and leads went cold. An AI assistant for instant replies: consultations, prices, contact collection, and booking.
Operators were overloaded, and support was unavailable after hours. An AI assistant handles requests and account management 24/7.
Customers find it hard to picture furniture in their own room. The AI finds catalog furniture that matches a reference image and builds an interactive 3D room where everything can be moved and changed with a mouse.
Businesses spend time creating content for multiple social networks. The system generates posts (text + images) in the brand's style and publishes them automatically to LinkedIn, Facebook, and Instagram.
Leadership had no systematic way to assess call quality. The system transcribes calls with timestamps, captures nuances (hesitations, pauses), and flags problem clients using 5 criteria.
The client needed one system for production, sales, and logistics. An ERP integrated with the SAGE platform, with convenient interfaces for managing production and planning deliveries.
The dispatcher enters orders by hand, and couriers learn about them with a delay. The CRM automatically creates orders in the couriers' mobile apps: the dispatcher enters an order, and the courier sees it instantly.
The business can't send confidential documents to cloud services. A Linux server with a team of specialized bots, uploads of your own documents, and connections to all your systems.
The customer uploads a photo of a room or a reference image, and the AI picks furniture from the available catalog and generates a finished 3D interior design in real time.
Chaotic client messages were overwhelming the team. The AI assistant structures requests and automatically turns them into ready-to-execute tasks for developers.
Managing a large number of accounts by hand was impossible. A self-hosted system on its own server with AI agents for monitoring, mass messaging, and audience building.
Clients came in with interior photos, and managers searched the catalog by hand. The AI recognizes items in the photo, matches alternatives from the catalog, and generates a specification automatically.
Operators didn't have time to handle requests 24/7. A Telegram bot with AI, an admin panel, and a client Mini App with multi-currency accounts, AI translation, and real-time notifications.
Corporate clients sent payment files manually, which caused delays and errors. A secure direct-integration channel between the core banking system and ERP systems via API and ISO 20022.
Employees spent hours searching internal regulations. A GPT-like chatbot on the bank's own server, connected to the knowledge base, transaction history, and policies. Works in Teams, Zoom, and WhatsApp.
The call center couldn't keep up with the volume of requests. We integrated an AI bot into the website and mobile app, with OTP authentication and connections to the core banking system and the Card Management System.
The call center received thousands of inquiries across channels: calls, email, and chats. An on-premise NLP engine automatically classifies each inquiry, routes it to the right department, and generates a reply.
Manual document verification took days and required a large team. On-premise OCR and ML models automatically read and validate passports, IDs, and other documents.
The bank received settlement instructions from counterparties in various formats: email, SWIFT, and PDF. On-premise NLP models automatically extract and normalize the data for routing and validation.
Rule-based AML systems produced a high volume of false positives and couldn't keep up with new schemes. AI models built on graph neural networks analyze transaction networks in real time.
Traditional scoring models ignored behavioral data. ML models learn from transaction history, repayment behavior, and the customer's digital profile.
Finance teams spent weeks compiling reports by hand. On-premise GenAI models generate forecasts, stress tests, and narrative reports, connected to Power BI.
An AI simulator for safe practice by students in the helping professions. 25+ realistic AI clients, voice input, and a debrief from an AI supervisor after every session. Embeds into the client's app.
120,000 pages of documents per month (invoices, completion certificates, delivery notes) were processed manually. A modular AI platform: automatic classification, data extraction, SAP reconciliation, multilingual normalization.
Bank managers worked across dozens of disconnected systems. A single operator window with a 360° customer profile, full product history, marketing, loyalty, and collections modules, and an AI assistant.
A strategic diagnostic of your company: where you're losing money and time, and how AI fixes it.
From voice agents for small businesses to on-premise platforms for banks and holding companies.
Hands-on training tailored to your business's real tasks.
Seen a similar challenge? Tell us about yours, and we'll show you how we solved it for other companies. For strategic questions, contact Anastasiia, CEO.