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Development of autonomous AI-agents and multi-agent systems for business

We create fully capable digital employees who independently plan tasks, invoke corporate APIs, and perform complex multi-step business processes 24/7. Based on modern frameworks (CrewAI, AutoGen, LangGraph), we design agent ecosystems: autonomous tender parsing, automatic CRM filling, invoice verification, and generation of analytical reports without human involvement.

✓ Full autonomy of actions: agents themselves check email, search for information in internal databases and create tasks
✓ Specialization and role distribution: the agents' team (Analyst, Copywriter, Validator) controls each other's work
✓ Tool Calling & API Actions: agents interact with CRM, SQL databases, banks, Google Docs and messengers
✓ Reduction of operational costs to 75%: one digital agent replaces routine work of 3–4 junior operators
LangGraph & CrewAI Frameworks Autonomous Multi-Agent Systems Tool Calling & Function Execution Long-term Vector Memory Human-in-the-Loop Supervision
Get AI agents concept
Formats and pricing
ALL IT • SERVICE SPEC
SLA 99.9%
Innovative technologies and artificial intelligence WARRANTY UNDER AGREEMENT
Multi-agent back-office system

Active agents: 8 • Tasks completed per day: 1,420 • Successful operations: 99.1% • Time saved: 48 person/hour

⏱ Start: 1–3 days 🛡️ NDA: 100% SLA Warranty
🤖
CrewAI Swarm
8 agents in the chain
⚙️
Tool Calling
API CRM / SQL
🛡️
Human-in-Loop
Control Critical Actions
⚡
24/7 Mode
No Pauses or Breaks
✓ Official contract with fixed cost of work
✓ 100% transfer of rights to code and configuration to the customer
✓ Assigned leading engineer and support 90 days
FULL TRANSFER OF RIGHTS CONTRACT + WARRANTY
[ DIGITAL TEAM ]

Why autonomous agents - the next leap in productivity after regular chatbots

Agents do not just respond with text — they take on tasks and independently bring them to completion

[ 01 ]

Automatic Email and Lead Parsing

The agent reads the letter, downloads the attached PDF, classifies the intent, searches for the client in CRM and prepares a draft response.

[ 02 ]

Multi-level self-check of results

Agent-executor generates a document, and agent-critic automatically verifies it against regulations before publication.

[ 03 ]

Continuous market monitoring and tenders

Agents scan procurement fields, analyze technical specifications and form a package of documents within minutes.

[ 04 ]

Scaling without hiring a new staff

When the number of operations increases by 10 times, you don't need to expand the support department — just add capacity to agents.

[ Solution Composition ]

What is included in the development of autonomous AI agents

Full cycle of design for multi-agent architectures with integration of corporate tools

[ STEP 01 ] Architecture

Decomposition of business process on role and task

We analyze employee responsibilities, formulate agent profiles, their areas of responsibility and success criteria.

[ STEP 02 ] Tool Calling

Connection of Corporate Tools (Tool Use)

Provides agents with secure access to functions: reading mail, searching in SQL-databases, issuing invoices and sending notifications.

[ STEP 03 ] Memory

Construction of long-term and vector memory

We configure short-term context memory and vector knowledge stores (ChromaDB / Qdrant) for storing conversation history.

[ STEP 04 ] LangGraph

Development of execution graph (LangGraph / CrewAI)

We design interaction routes for agents with verification cycles, error processing and self-correction of deviations.

[ STEP 05 ] Security

Implementation of control gateway (Human-in-the-Loop)

Critical financial and legal steps (contract sending, funds deduction) agent sends for confirmation to a person.

[ STEP 06 ] Monitoring

Monitoring panel and execution logs

Interactive dashboard for the manager: status of each agent, token expenses, task queue and audit of all performed actions.

[ Tariff Plans ]

Development packages of AI agent systems

From targeted agent-assistant to full-fledged autonomous digital department of the company

Quick start for automation of one key role

Single Autonomous Agent

One autonomous AI agent for a specific operational task (for example, qualifying incoming leads or collecting feedback).

Development time: from 3–4 weeks
Work Scope:
✓ Designing a profile of a specialized agent
✓ Connection to 3 corporate tools (CRM, Email, Sheets)
✓ Vector knowledge base on products and company rules
✓ Basic Human-in-the-Loop mechanism for doubtful cases
✓ Deployment in the cloud and setup of notifications in Telegram
✓ 30 Days of Technical Support
Choose 'Single Agent' tariff
Most popular for full automation in the department ★ Popular

Multi-Agent Department Swarm

Linking 3–5 coordinated AI agents, which interact with each other, delegate subtasks and verify results.

Development time: from 6–8 weeks
Work Scope:
✓ All That Is Included in the Package 'Single Autonomous Agent'
✓ Team of 3–5 agents (Leader, Researcher, Contractor, Auditor)
✓ Complex logic LangGraph with branches and self-correction
✓ Unlimited number of API tools (SQL, ERP, payment gateways)
✓ Control Panel and Audit of Completed Tasks
✓ 60 Days of Support and Calibration of Results
Choose 'Department Swarm'
For large corporations, the financial sector, and logistics

Enterprise Agentic Operating System

Scalable multi-agent platform with dozens of specialized agents, high fault tolerance and local models.

Development time: from 10–14 weeks
Work Scope:
✓ Everything that is included in the package 'Multi-Agent Department Swarm'
✓ Unlimited number of autonomous agency teams
✓ Support for hybrid models (OpenAI + local LLM for security)
✓ Distributed task queue (Celery / RabbitMQ / Temporal)
✓ Full isolation of sensitive data in the company's private environment
✓ A dedicated team of developers from ALL AI Lab and SLA 99.9%
Choose 'Enterprise Agentic OS'
← Swipe options →
[ COST CALCULATOR ]

Calculate the cost of AI agent development

Select the area of agents' activity and the required number of integrations

1. Main task for AI agents: Select Variant

2. Desired scale of the multi-agent system: Select Variant

3. Level of Autonomy and Human Approval: Select Variant

CHOOSEN PARAMETERS OF THE SOLUTION:
⏱ Estimated Timeline: Calculation... 👥 Team: 2–3 engineers
1. Main task for AI agents: Sales and lead generation (Lead processing, client research, draft of the proposal)
2. Desired scale of the multi-agent system: 1 agent with narrow specialization
3. Level of Autonomy and Human Approval: Human-in-the-Loop (A person must confirm each final action)
✓ Parameters will be fixed in the application form
Get an exact quote
[ STAGES OF COOPERATION ]

How the project is delivered

Transparent process from first contact to final release on your domain.

01
1 Week

Mapping of operational chain

We meticulously record each step of the employee, decision-making rules, and input/output data formats.

02
1–2 weeks

Configuration of Tools (API Tools)

We create secure connectors for reading databases, interacting with email, and sending API requests.

03
2–3 weeks

Designing agent logic in LangGraph

We write system instructions, configure communication between agents and error self-correction algorithms.

04
1–2 weeks

Standalone testing on real tasks

We launch agents in parallel with real employees, checking correctness and response time.

05
3–5 days

Introduction to autonomous operation

Connecting the agent to the production environment, configuring the monitoring panel for the manager, and handing over the system.

Our Clients

Companies that have entrusted ALL IT Agency with the development and scaling of their digital solutions

Partner Case 5
Valikhnovski Surgery Institute
Partner Enterprise
Meregi Group
Partner Case 6
Wizeclub
DIM Service
Partner Case 11
TOV Zagin Alpha
Partner Case 5
Valikhnovski Surgery Institute
Partner Enterprise
Meregi Group
Partner Case 6
Wizeclub
DIM Service
Partner Case 11
TOV Zagin Alpha
[ FREQUENT QUESTIONS ]

Answers to common questions from customers

Key details regarding terms, independent website editing, and rights transfer.

Chatbot only passively answers the user's questions in the text field. AI-agent has a goal, plans steps to achieve it, knows how to use tools (make queries to databases, open links, fill forms in CRM, send letters) and independently checks whether the result has been achieved.

This is a concept where a complex task is performed not by one model, but by a group of specialized agents. For example: The Research Agent collects information from websites, The Analyst Agent structures the numbers, The Copywriter Agent writes the document, and The Critic Agent checks the fact-checking. Such mutual criticism sharply reduces the probability of errors.

We always implement the Human-in-the-Loop module. The agent fully performs all preparatory work (finds data, writes an email, creates a document), but the final "Send to client" button requires confirmation from a live manager with one click in Telegram or CRM.

We use leading industrial frameworks: LangGraph, LangChain, CrewAI, AutoGen, as well as LlamaIndex for vector context. For orchestration and reliability, we use asynchronous queues Temporal and Celery.

Basic functional prototype of an agent for one specific task is developed and tested within 3–4 weeks. Comprehensive multi-agent system for automating an entire department takes from 6 to 8 weeks.

Share this service with partners or colleagues

Fast delivery to the working chat or copying the link for budget approval

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Would you like to integrate an autonomous digital employee into your processes?

Describe operational tasks that require the most routine work. Our engineers from ALL AI Lab will design an agent system scheme and calculate the return on investment within 24 hours.

Confidentiality

Official NDA contract for system audit

Quick Feedback

We will contact you within 15 minutes during business hours.

Order development of AI agents

The tech lead will contact you within 15 minutes during working hours