We embed AI agents into company business processes

An AI assistant for business is a piece of software built on artificial intelligence that automates routine work: it answers customer questions, processes requests, classifies documents and helps staff work faster.

Unlike simple chatbots, an AI assistant understands context, learns from your company's data and integrates with existing systems — CRM, ERP, messengers. It runs 24/7 and handles hundreds of requests at once.

At Tantal we build AI assistants that integrate with amoCRM, Bitrix24, Telegram and other platforms. For one of our clients, the assistant cut request handling time by 70%.

AI solves concrete business problems that used to take dozens of hours of manual work. Here are real examples from Tantal's practice — over 400 completed projects:

Lower production costs. For Donstroy we deployed a computer vision system that automated quality control, cutting the cost of manual inspection.

Customer service automation. AI chatbots handle up to 80% of routine enquiries without an operator, freeing the team for complex tasks.

Content at scale. For marketing agencies we build solutions that generate dozens of ad creative variants in hours instead of weeks.

Call analytics. AI analyses sales conversations, scores script adherence and surfaces problem points in the funnel.

Document processing. Automatic data extraction from contracts, invoices and applications — saving 20+ hours a week for a mid-sized business, plus many more examples our managers will walk you through at a meeting.

The cost depends on task complexity, the number of integrations and the volume of training data:

Basic AI assistant (FAQ bot with a knowledge base, 1–2 integrations): from ₽150,000

Advanced assistant (contextual dialogue, CRM integration, analytics): from ₽400,000

Enterprise solution (multichannel, custom models, complex logic): from ₽800,000

Cost drivers: the number of use-case scenarios, whether the model needs fine-tuning on your data, the number of channels (site, Telegram, WhatsApp) and integration with internal systems.

Typical payback period is 3–6 months, through reduced staff load and faster request handling.