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Development of AI agents for business

Development of AI agents for turnkey businesses

Business process automation solutions

  • Automating routine tasks
  • Creating AI agents for specific roles, processes, and company specifics
  • Integration with CRM, ERP, corporate messengers, internal databases and mail
  • Sammarizing meetings and structuring the knowledge base
  • 24/7 support with personalized responses
  • Analyzing customer behavior and forecasting demand
  • Processing large amounts of data
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до 28%
budget savings on development
50+
completed projects
5,7%
staff turnover

The advantages of automation using AI

For businesses and enterprises
For businesses and enterprises
  • Meeting automation
  • Optimizing customer interaction
  • Integration with the corporate IT environment
  • Knowledge base and intelligent search
  • Security and flexible scaling



Find out the cost and timing of AI development for business

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For internal communications
For internal communications
  • Fast onboarding and employee support
  • Monitoring of engagement and effectiveness
  • Reducing the burden on the HR team
  • Digital internal knowledge base



Learn how AI for business automates internal processes

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For managers and administrators
For managers and administrators
  • Centralized task and knowledge management
  • Analyzing large amounts of data, forecasting and identifying risks
  • Contextual access to relevant information
  • Customization of the AI assistant to the needs of the team



Order the development of an AI agent for business

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The cost of AI development for a turnkey business

from 2 weeks
projects starting from 70 thousand rubles.
LighTech The warranty period is 2 weeks
LighTech Comprehensive audit
LighTech The optimal team for the task
LighTech Support and mentoring from experts in related fields
LighTech Transparent process — TK work, reporting, tracking, timing control

The LighTech Team

Project managers
Product managers
DevOps engineers
Architects
Frontend Developers
Backend Developers
Mobile Developers
Flutter-
iOS Developers-Developers
Android Developers
QA Engineers
UX/UI specialists
Scrum Masters
Analysts
Designers
Marketers
Copywriters
Learn more about the team

Tell us about your project.

And we will offer you the optimal solution based on our experience, create a roadmap for the project and estimate the time and cost of development.
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LighTech

Our advantages

Scrum.org certification
Scrum.org certification

Our team is certified according to international standards Scrum.org . We apply the best practices of agile development to your business.

The Open-Source approach
The Open-Source approach

Active participation in open-source projects allows you to create reliable solutions using proven technologies and keep up with the times. 

The component approach
The component approach

Our solutions are created from ready-made tested components. This speeds up development and scaling, as well as making further support easier.

Worked commands
Worked commands

Our experts with extensive experience in collaboration guarantee efficiency, coherence and quality of the final product.

Experience in BPMS, CRM, and Highload development
Experience in BPMS, CRM, and Highload development

We are not new to complex projects. We have extensive experience in creating BPMS, CRM and high-load systems.

Accredited IT company
Accredited IT company

Proven professional qualifications, reliability and compliance with advanced industry standards.

Technology stack

We will help you create a solution that will meet the needs of your business. Our team uses proven and relevant tools, develops digital products for stable and efficient work for many years to come. 

Go
A compiled programming language with a simple syntax, focused on high performance and parallel computing.
Python
A powerful and flexible programming language that provides fast development and high performance. It is ideal for creating complex business logic and processing large amounts of data.
RDBMS
A relational database management system that allows you to store and process data in the form of linked tables
AWS
Amazon cloud platform, which provides a wide range of services for computing, data storage, and application development
Celery
Asynchronous task queue for Python, which allows you to perform deferred operations and distribute the load
Docker
A platform for packaging, distributing, and running applications in isolated containers
Django
High-level Python framework for fast development of secure and scalable web applications
DRF
Django REST Framework, a Django extension for creating APIs with REST architecture support
FastAPI
Modern Python framework for building high-performance APIs with automatic documentation
React
A library for developing interactive user interfaces. Allows you to create fast and scalable web applications with excellent performance.
Angular
A progressive framework for creating dynamic and responsive user interfaces. Guarantees smooth operation of your portal on any devices
Vue
A progressive JavaScript framework for creating user interfaces with a reactive data update system
Next.js
React is a framework with support for server-side rendering for creating optimized web applications.
Nuxt
A framework for Vue.js, which simplifies the development of universal and statically generated applications
Dart
An object-oriented programming language from Google used for developing mobile, web, and desktop applications.
Flutter
A powerful framework for fast and efficient development, ideal for creating cross-platform applications. It provides high performance and flexibility, enables efficient implementation of complex business logic, and provides high-quality user interfaces.
Clean Architecture
An architectural approach to software development that focuses on separation of responsibility and independence from external frameworks
Swift
A modern programming language from Apple for developing applications for iOS, macOS and other platforms of the company
Kotlin
A statically typed programming language from JetBrains, compatible with Java, used for developing Android applications and server systems

They trust us.

Bayer
Bronevik
Stabilafonder
X5Group
W
Lean Apps

Industry experience

Stages of AI system development

1

Project planning

We define automation tasks: processing requests, distributing requests, preparing reports, working with internal requests, and supporting workflow.

We analyze the client's infrastructure: used CRM, messengers, ERP, BI-systems. We choose integration approaches and define security and data storage requirements.

2

Designing use cases

We study the current processes: receiving incoming requests, the work of the support service, operational and back-office tasks. 

We are shaping the architecture of future intelligent assistants, thinking through business logic and dialog scenarios, and determining how the AI agent will interact with users and teams.

3

Development and integration of functionality

We are creating AI agents for businesses that can interact via chat, e-mail, API, and voice channels. We are implementing:

  • automatic recognition of referral goals;

  • launching business processes according to specified conditions;

  • interaction with external services (CRM, task managers, knowledge bases);

  • self-learning logic based on feedback.

We provide fault-tolerant architecture, scalability and data protection.

4

Testing the application

We are testing AI assistants for business in real-world scenarios. We check the correctness of dialogues, the reliability of actions, stability under peak loads, and work with typical and atypical requests.

5

Implementation and support

We integrate AI into the company's digital ecosystem: messengers, internal portals, CRM, ERP. Setting up access rights, roles, and logging controls. We provide regular model updates, scenario optimization, and technical support.

Why does a business need to create AI agents?

AI assistants for business take over routine processes: They capture information from communications, structure tasks, track statuses, reduce manual work, and allow you to quickly make decisions based on data.

Such an intelligent assistant becomes a permanent participant in the work processes. It helps managers, HR, supervisors, and operational teams organize everything, for example, incoming requests to call totals and execution of orders. It's not just a bot or a chat — it's a digital employee who works 24/7 and doesn't lose a single detail.

AI Business Opportunities:

  • Automatic recording of key data from calls, emails and correspondence.
     

  • Formation of protocols and notes on each interaction.
     

  • Search for and work with information through an AI chat.
     

  • Synchronization with business tools.
     

  • Task completion monitoring and reminders.
     

  • Support for the role of corporate memory.
     

  • Work in different channels and scenarios.
     

  • Security and scalability.
     

We are also implementing automation using AI for the company's tasks. Our LighTopic solution is an AI assistant that turns every meeting into structured tasks, notes, and knowledge, integrating into sales, project management, hiring, and training processes.

Frequently Asked questions about automation using AI

How much does it cost to create AI agents?
Why does a business need to automate meetings and processes using AI?
Who is involved in the development of the AI system?
Who can use such AI solutions?

What will you get after completing the project

Get artifacts from the project
Open
Scalable code
Scalable code
Documentation
Documentation
Closing documents
Closing documents
Support
Support

Projects that we have implemented

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