04 · For enterprises and industries
AI agents for business: development and implementation
AI agents for business take over the routine work of entire departments: they qualify leads, prepare commercial proposals, answer customers, process documents and compile reports. We build vertical multi-agent systems on your data and inside your infrastructure — with permissions, limits and a log of every action.
- Cost, for reference
- from 500,000 ₽
- Timeline
- pilot in 3–6 weeks
Use cases
Multi-agent systems that take over routine work: sales, support, document workflows, analytics, quality control. Trained on your data, running inside your infrastructure.
- 01
AI for sales teams
Qualifying inbound leads, matching products from the catalog, calculations and proposals in seconds, handing hot leads to a manager.
- 02
AI for customer support
24/7 answers from the knowledge base, ticket creation, escalation of complex cases to people with full context.
- 03
AI for document workflows
Extracting data from contracts, invoices and acts, reconciliation, compliance checks, filling in 1C.
- 04
Corporate AI assistant
Search across internal documents, policies and CRM that respects each employee's access rights (RAG).
- 05
Voice AI agent
Handling calls, bookings, order confirmations and surveys — with results passed to your CRM.
- 06
Analytics agent
Sales, inventory and finance summaries in natural language, alerts on anomalies.
What's included
End to end — from idea to a working product.
We deploy the product on the client's servers or in their cloud and hand it over up and running — with access credentials, documentation and team training.
- Process audit and agent map
- Orchestration of multi-agent scenarios
- RAG over company documents, databases and CRM
- Integrations with 1C, Bitrix24, amoCRM, SAP, ERP
- Voice and text interfaces
- Private deployment (on-premise / VPC)
- Control panel, metrics, action audit
Our approach
We study your processes, define agents with clear roles and tools, and build orchestration, memory and RAG on your corporate data. Every agent has permissions, limits and an action log — security and auditability from day one.
Outcome
A system that works like a department of dozens of employees: around the clock, without fatigue errors and with full transparency of decisions.
Stages
How we work
- 011–2 weeks
Process audit
We find the operations with the highest cost of manual work and calculate the economics of automation.
- 023–6 weeks
Single-agent pilot
One process, real data, a measurable metric: speed, conversion, automation rate.
- 03from 6 weeks
Multi-agent system
Role orchestration, memory, tools, integrations with 1C, Bitrix24, amoCRM, ERP.
- 04ongoing
Operations
Control panel, quality metrics, action audit, retraining on new data.
Cost
Pricing and timelines
Prices are for reference and depend on the scope of work. We quote the exact cost after reviewing the specification.
| Format | Cost | Timeline | What's included |
|---|---|---|---|
| AI agent pilot | from 500,000 ₽ | 3–6 weeks | One process, RAG on your data, integration, metrics |
| Multi-agent system | from 1,500,000 ₽ | 2–4 months | Multiple agents, orchestration, control panel, audit |
| On-premise in a closed environment | custom quote | in phases | Local LLMs, 152-FZ (Russia's personal data law) compliance, no internet access |
AI agent pilot
from 500,000 ₽3–6 weeks
One process, RAG on your data, integration, metrics
Multi-agent system
from 1,500,000 ₽2–4 months
Multiple agents, orchestration, control panel, audit
On-premise in a closed environment
custom quotein phases
Local LLMs, 152-FZ (Russia's personal data law) compliance, no internet access
Implementing AI in business without the hype
AI in business pays off where there are many repetitive decisions based on clear rules and data: processing requests, matching products, answering customers, checking documents. We start with one process and one metric, prove the effect in a pilot and only then scale. What agents are and how they differ from chatbots is covered in AI agents: what they are and how to implement them.
Our AI agent development includes RAG on corporate data, tools for taking actions in your systems, and guardrails: every agent has permissions, limits and a log. An example is the AI sales department that produces a proposal in 30 seconds.
Multi-agent systems inside your infrastructure
Data must not go where it is not allowed. We deploy systems in your cloud or on-premise, including with local models, and comply with 152-FZ. For industrial and public-sector clients we work in closed environments — learn more on the AI for manufacturing page.
FAQ
Frequently asked questions
How much does it cost to implement an AI agent?
For reference: a single-agent pilot starts at 500,000 ₽, a multi-agent system at 1,500,000 ₽. The price depends on processes, data and integrations and is refined after the audit.
How is an AI agent different from a chatbot?
A chatbot follows a script, while an agent plans its own steps and takes actions in your systems: searches the catalog, calculates, creates deals, sends documents — within the permissions you set.
Can we avoid sending data to external services?
Yes. We deploy the system in your cloud or on-premise, with local models if needed, and without internet access.
Which systems do the agents integrate with?
1C, Bitrix24, amoCRM, SAP, ERP, email, telephony, messengers and any system with an API.
How do we measure the effect?
Before the pilot we fix a metric — response time, conversion, share of automated requests or cost per operation — and compare it after launch.
Contact
Always happy to discuss a new project.
Fill in the form — or a detailed brief if your requirements are already clear. We'll reply with an estimate and a plan.
- 01Tell us about your task, goals and timeline
- 02Get a clear estimate and plan
- 03Call with the head of the lab
hello@b2b-lab.ru