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AI agents for business

An AI agent is a program built on artificial intelligence that does not just answer questions but takes the task to a result itself: it understands the goal, goes into your CRM, email and databases, plans the steps and calls a human when it is not sure. We deploy AI agents in support, sales and internal processes.

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What is an AI agent

An ordinary program does exactly what is written in it: "if A, then B". An AI agent is given a goal and tools, and it chooses the path to the goal itself. For example, the goal is "answer the customer and, if the order was not fulfilled, issue a refund". The agent checks the order status in the database, verifies the conditions and issues the refund. If the case is disputed, it hands the dialogue to a human together with the correspondence history. This is how the assistant we launched for the KupiKod service works.

The topic is quickly becoming a standard: according to the Gartner forecast, which we wrote about in our breakdown of AI development, by the end of 2026 40% of enterprise applications will include task-specific AI agents, against less than 5% in 2025. We collect news and analysis in the "AI agents" section of our blog.

Goal and rules

The task in plain words and the boundaries: what the agent may do, what it may not, and when to call a human. We define the limits of automation and the escalation rules at the audit stage.

Language model

Understands the request and reasons. We take a ready-made model (GPT, Claude, Gemini, YandexGPT) or a custom one trained for your business.

Tools and knowledge

Access to the CRM, email, the order database and APIs. We connect company knowledge through RAG: the agent answers by your regulations and price lists, not by general knowledge from the internet.

AI agent or chatbot: what is the difference

A chatbot follows a drawn scheme. An agent works toward a goal and chooses the path itself.

Scripted chatbot AI agent
Understands the request Catches keywords and button presses, breaks on non-standard wording Understands the meaning and the goal, even if the customer put it in their own words
Plans Follows a scheme drawn in advance Chooses the steps for the task itself
Acts Gives ready-made answers Uses tools: looks up an order in the database, writes to the CRM, creates a task, processes a refund by set rules
Remembers Every question starts from zero Keeps the context of the dialogue and the customer history
Doubts Loops or answers off topic Hands the dialogue to a human together with the whole correspondence
Works 24/7, but only within the scenario 24/7 and takes the task to a result, not just to the first button

What our AI agents can do

One principle, different tasks. Pick a direction or start with an audit: we will tell you where an agent pays off fastest.

  • 01

    AI assistant in chats

    Answers customers on the website and in messengers, fills the CRM itself, books services and hands complex dialogues to an operator.

    Website · Telegram · WhatsApp · Instagram

  • 02

    Voice agent (in Russian)

    Answers incoming calls and calls customers in a natural voice, understands speech and records the result in the CRM.

    incoming calls · outbound calls · reminders

  • 03

    Sales agent (in Russian)

    Answers a lead in the first minute, qualifies it, brings back the "I'll think about it" and keeps the CRM for the managers.

    +35% lead-to-deal conversion

  • 04

    Routine agent (in Russian)

    Takes over document flow, dispatching, reports and standard forms: what the team used to do by hand.

    −80% manual operations

  • 05

    Custom agents and RAG

    Autonomous agents that perform real tasks in your systems, and corporate knowledge bases with AI search over documentation.

    LangChain, LlamaIndex, Chroma, Pinecone

  • 06

    Turnkey implementation (in Russian)

    Audit, pilot, production launch and support in one pair of hands. We will tell you where an agent pays off fastest.

    free audit

Where AI agents already work

internal processes

Assistant for the procurement directorate

A large company brought 14 procurement subsystems into one interface with an AI assistant. It reads commercial proposals in any format and in 15-20 minutes prepares a competitive map and a draft decision: before, a manager put them together by hand in two days. The procurement cycle got 40% shorter.

Read the breakdown (in Russian)

How we launch an AI agent

  1. Audit · 1 day

    We review your processes and data and tell you what can really be automated and what cannot.

  2. Pilot · 2-4 weeks

    We build one scenario on your data and run it on part of the flow. You see it working before any big investment.

  3. Production launch · 4-8 weeks

    Integrations, access rights, fault tolerance, team training. Price and deadline are fixed in the contract.

  4. Growth · ongoing

    The solution does not freeze on launch day: it gets more accurate on your requests and cheaper as volume grows.

The pilot runs on part of the flow: you see the metrics before any big investment. If it does not work, we do not scale it, and you do not pay for the production launch. More about the process on the Turnkey AI implementation page (in Russian).

What we integrate with and build on

The agent plugs into the systems you already use, through an API. Data stays within your perimeter when the model runs on your side; for foreign models we agree in advance what may leave it.

CRM and accounting

  • Bitrix24
  • amoCRM
  • 1C
  • MoySklad

Channels

  • Website widget
  • Telegram
  • WhatsApp
  • Instagram
  • VK

Models

  • YandexGPT
  • GPT
  • Claude
  • Gemini
  • custom LLM models

Agents and knowledge

  • LangChain
  • LlamaIndex
  • Chroma
  • Pinecone
  • RAG
  • n8n

Our
strengths

  • Technology expertise

    A team of graduates from top technical universities and specialists from Tinkoff, Sber and leading fintech companies.

    Mathematical foundation is the basis for every decision we make.

    Team
    TANTAL.AI

  • Fast launch

    Launched the AI assistant in one week, and manager workload dropped significantly. It handles client inquiries in several languages, around the clock.

    Bonus: built-in CRM and booking calendar. We no longer lose clients due to slow responses.

    Damir Osaulenko
    Founder of villo.studio

How much does an AI agent cost

There is no single price: it depends on the scenario, the number of channels and integrations with your systems. A pilot of one scenario is the fastest way to check the effect on your data. Prices for all our solutions are collected on the Pricing page.

pricing

from 35,000 RUB / pilot

  • Free audit
  • ROI calculation before the start
  • Pilot on your data
Calculate for my task

The exact estimate comes after a free audit

Further reading

FAQ

Frequently asked questions about AI agents

What is an AI agent in simple words?

An AI agent is a program built on a large language model that is given a goal, rules and access to tools. It decides which steps are needed, goes into the CRM, email or database, does the work and reports the result. If the case is non-standard, it calls a human.

How is an AI agent different from a chatbot?

A chatbot follows scripts and breaks on non-standard wording. An AI agent understands context, turns to real data (CRM, knowledge base, order statuses), makes decisions by set rules and holds a meaningful dialogue. How this looks in chats is shown on the AI assistant page.

Which tasks should be given to an AI agent?

Repetitive tasks with a large flow: answers to typical requests, order statuses, booking and scheduling, lead qualification, CRM filling, document processing. The most common first tasks in our projects for small and medium business are handling incoming requests and document flow. Negotiations and complex deals stay with people.

How much does an AI agent cost?

There is no single price: it depends on the scenario, the number of channels and integrations. A pilot of one scenario is from 35,000 RUB, an AI assistant in chats is from 35,000 RUB per month, a voice robot and AI for sales have a pilot from 40,000 RUB. We calculate the full estimate after a free audit. All prices are collected on the Pricing page.

How long does a launch take?

The audit takes one day, the pilot 2-4 weeks, the production launch 4-8 weeks. Real examples: the AI assistant for the villo.studio video studio was launched in a week, while support for KupiKod, with backend integration, automatic refunds and several languages, took 8 weeks.

Is it safe to give an agent access to data?

We work with the Russian stack (YandexGPT and others) where it matters for data and the Russian personal data law (152-FZ). Personal data stays in your perimeter: for it we use Russian or open-source models deployed on your side. Integrations go through an API. What the agent does on its own and what it hands to a human, we fix at the audit: disputed cases go to an operator with the full history. Why such boundaries are needed is clear from the news: at Meta an uncontrolled AI agent exposed data to engineers without permission (in Russian).

Will an AI agent replace employees?

It takes over the routine, not people. At KupiKod more than 60% of support staff were moved to other tasks: product development, work with partners, quality analytics. They were not laid off but reassigned. In sales and on calls the scheme is the same: the agent covers the first line, complex requests stay with people.

How to measure the effect of an AI agent?

We fix the metrics before the start: speed of the first reply, share of requests handled without an operator, conversion from request to deal, cost of one operation. We compare the pilot with the figures from before the implementation on your data, and after launch we send a report with the metrics once a month. Without a starting point the effect cannot be measured, so we take it at the audit.

Which systems does an AI agent integrate with?

Bitrix24, amoCRM, 1C, MoySklad, Telegram, WhatsApp, Instagram, VK and other systems via an API. Need a non-standard link? We build it for the task: the agent can be embedded in your product, and the knowledge base can be connected to your documentation through RAG. Answers to other questions are collected on the FAQ page.

Ready to calculate where an AI agent pays off for you?

Request a free audit - we will show scenarios with fast payback and an estimate, no obligations.

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