Service · AI agents

Next-level autonomous AI agents: they reach into your CRM, 1C, databases and APIs, run multi-step tasks and use tools (tool-use). RAG assistants on your knowledge base, employee copilots, agent workflows — handling leads, documents, support, research. With logs, guardrails and a human in the loop.

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The approach, in brief

14

directions for real business needs

2

weeks — a typical project start

100%

code and access stay with you

1 b.d.

business day — we reply to your request

Sound familiar?

Next-level autonomous AI agents: they reach into your CRM, 1C, databases and APIs, run multi-step tasks and use tools (tool-use). RAG assistants on your knowledge base, employee copilots, agent workflows — handling leads, documents, support, research. With logs, guardrails and a human in the loop.

Routine eats the team: people drown in repetitive tasks instead of work that earns

The data is there — in the CRM, 1C, documents — but nobody really uses it

You deployed a "bot", but it only answers FAQ and does nothing

You want AI, but don't know where to start or how to deploy it safely

You've seen slick agent demos, but in production they fall apart

Why us

Why us

Deep integration expertise

An agent is useless without access to your systems — and that's exactly our specialty: 1C, CRM, APIs, messengers. We don't "bolt on" integrations, we specialize in them.

An agent for a real process, not a demo

Slick demos fall apart in production. We build the agent around your specific process, test it on live tasks and get it to stable operation.

Safety and control

The agent works within your boundaries: guardrails, a log of every action, human confirmation on critical steps. You always see what it did and why.

AI-paced delivery: a pilot in 2–3 weeks

A fast working prototype on one process in 2–3 weeks — we validate the hypothesis and payback before a big budget, instead of vanishing into six months of "research".

What's included

AI agents that don't just answer — they act, inside your systems, by your rules

A process audit: where an agent actually offloads routine and pays off
Model selection (Claude / GPT / local) for the task and budget
RAG on your knowledge base — the agent answers from your data
Integrations with CRM, 1C, APIs and messengers — the agent reaches into your systems
Tool-use and multi-step flows — the agent does tasks, not small talk
Guardrails, logs and a human in the loop for control
Deployment, team training and post-launch support

Results

Results

Typical benchmarks for projects of this class — not a guarantee of exact numbers for your case.

−X% routine

target team time freed up

24/7

the agent runs tasks with no days off

2–3 weeks

to a working pilot on one process

human-in-the-loop

logs and confirmations on critical steps

A typical contractor / Us

A typical contractor / Us

A typical contractor
Us
A bot answers FAQ — and that's it
The agent runs tasks inside your systems
A slick demo that breaks in production
Runs in production, with guardrails and logs
An agent with no data access — a toy
CRM, 1C and API integrations — our specialty
A black box; unclear what it did
A log of every action and a human in the loop
Six months of "research" with no result
A pilot in 2–3 weeks, hypothesis validated

Packages & pricing

Packages & pricing

Starting prices for our services. We quote the exact cost for your task after a brief.

Pilot

from 3,000 BYN

  • Process audit and a working agent prototype
  • One task, one process, in 2–3 weeks
  • Hypothesis validation and a payback estimate
Send a request

Rollout

from 10,000 BYN

  • Integrations with CRM, 1C, APIs and messengers
  • Knowledge-base RAG, tool-use and multi-step flows
  • Guardrails, logs, human-in-the-loop, team training
Send a request

Enterprise

from 40,000 BYN

  • An agent platform across several processes and teams
  • Complex integrations, roles, security, an SLA
  • Scaling, monitoring and ongoing growth
Send a request

How we work

How we work

01

Process audit

We map your processes and find where an agent actually offloads routine and pays back. We fix the pilot's goal and a success metric.

02

Pilot on one process

We build a working agent prototype on a single task in 2–3 weeks and validate the hypothesis before any big budget.

03

Integrations & guardrails

We connect the CRM, 1C and APIs, set up RAG, add logs, limits and confirmations — the agent works within your boundaries.

04

Launch

We put the agent into the real process with a human in the loop and watch quality on live tasks.

05

Scaling

We extend the agent to new processes and tools, optimize model costs and grow the scenarios.

Sample projects

Sample projects

These are representative examples — typical tasks and outcomes, not real named clients. We'll discuss specifics on a call.
Sample

Inbound lead flow, B2B services

Problem

Staff manually triaged inbound leads from email and messengers and entered them into the CRM — slow, with losses and errors.

What we did

An agent with tool-use: it reads the lead, asks for what's missing, qualifies it and creates the CRM deal itself; edge cases go to a human.

Result

Leads aren't lost and land in the CRM instantly, routine is off the staff, edge cases go to a human. A typical result for this class of project.

LLMtool-useCRMAPI
Sample

Internal operations, document base

Problem

The company had hundreds of procedures and documents, but staff spent time hunting for answers and re-asking colleagues.

What we did

An internal RAG copilot over the document base: answers from the procedures with source citations and drafts a document when needed.

Result

Staff find answers in seconds instead of minutes of searching, and the load on "knowledge keepers" drops. A typical result for this class of project.

RAGLLMБаза знаний

What it costs

What it costs

A pilot / prototype on one process — from 3,000–5,000 BYN. An agent rollout with integrations — 10,000–30,000 BYN. An enterprise agent platform — from 40,000 BYN or on request. Exact estimate after the audit.

Prices are indicative. We quote the exact cost after a short brief — no fluff, no pressure.

Send a request

FAQ

FAQ

How is an agent different from a chatbot?

A chatbot answers questions. An agent acts: it reaches into the CRM/1C/APIs, runs multi-step tasks and uses tools — creates a lead, drafts a document, gathers data. It's about doing work, not chatting.

Is it safe to let an agent into our systems?

Yes. The agent works within set boundaries: guardrails, access rights, a log of every action and human confirmation on critical steps. You control what it can and can't do.

Where do we start on a limited budget?

With a pilot on one process in 2–3 weeks. We validate the hypothesis and measure payback before investing in a big rollout.

Will you connect the agent to 1C and our CRM?

Yes. Integrations are our specialty: 1C, CRM, APIs, messengers. An agent is useless without access to your systems, so this is the core of the work, not an "option later".

What does it cost to run?

Model API costs depend on task volume; we forecast them upfront, pick a model to fit the budget and optimize tokens and agent steps.

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Get in touch

Discuss the project — estimate within 1 business day

Describe the task in a couple of sentences. We'll come back with an estimate, a plan and an honest price/time range. No obligations, no pushy calls.

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