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The AI operator

AI operator for communication automation and support

Digital Employee for Business

  • Conversion growth and positive dynamics of pre-sales
  • Reducing team workload, speeding up query processing
  • Working with documents and corporate knowledge
  • Integration with internal databases, messengers, mail and service platforms
  • Personalized interaction (the context of correspondence and the history of requests are taken into account)
  • Instant answers to common and complex questions
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х10
response rate
24/7
no days off, vacations, or
human factors
on 20-30%
improving customer satisfaction

Advantages of an AI operator for business

For managers and product owners
For managers and product owners
  • Recording of all requests, identification of load points and problem areas
  • Dialogue analysis, satisfaction assessment, identification of weak scenarios and growth points
  • Scaling up support without expanding staff and reallocating resources to strategic objectives


Find out the cost of implementing an AI operator for a business

Get a KP
For project and operational managers
For project and operational managers
  • Reducing the burden on the support team
  • Unified Request Processing Center
  • Automation of routine processes
  • Compliance with corporate communication standards


Learn how an AI operator automates client and internal communications

Request a roadmap
For financial and analytical professionals
For financial and analytical professionals
  • Access to structured request data
  • Management decision support
  • Automatic reporting preparation
  • Determining where a business is losing customers and applications


Order the implementation of an AI manager

Order a demo

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

As an IT agency with strong expertise in mobile and web development, AI-based automation, we will select the optimal solution, prepare an implementation roadmap, and calculate the timing and cost of implementation
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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 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

Stages of AI operator implementation

1

Planning and auditing

We define the tasks: handling requests, customer and employee support, and automating internal processes. We analyze the current infrastructure (CRM, messengers, mail, internal systems) and data security requirements.

2

Preparation of the knowledge base

We are forming the basis on which the AI operator will work.:

  • description of the company's activities and contact information;
  • business details for accurate and correct answers;
  • uploading internal materials (knowledge base, regulations, price lists, tariffs, description of services and goods, office addresses).
3

Configuring logic and integration

We design interaction scenarios and business logic. We integrate the AI operator with CRM, messengers, mail and other communication channels. Setting up automatic actions and routing of requests.

4

Testing

We check the correctness of the answers and work scenarios. We send test messages, simulate typical and non-standard situations. We evaluate the stability of the system and the quality of communication.

5

Implementation and maintenance

We are launching the AI operator into a working environment. We set up access, analytics, and quality control. We regularly update the knowledge base and optimize scenarios based on real dialogues.

Why does a business need an AI operator?

The AI manager automates work with corporate information and communications: extracts data from the knowledge base, documents and CRM, generates accurate answers and helps to make decisions based on up-to-date data.

This is not just a chatbot, but a managed digital employee who works 24/7, relies only on trusted company sources and is embedded in real business processes.


When is an AI operator needed?

  • When support is overloaded.
  • When clients write outside of business hours.
  • When the flow of applications is growing.

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Frequent questions

Who is an AI operator suitable for?
Where is the AI manager used?
What should I do if there is no structured knowledge base?

What will you get after completing the project

Get artifacts from the project
Open
Ready-to-work AI operator
Ready-to-work AI operator
Structured corporate database
Structured corporate database
Closing documents
Closing documents
Support
Support

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