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AI customer support bot

AI-based chatbot with knowledge base — automation of customer support without operators

Digital Assistant for Business

  • Understands the client's intention and builds a dialogue based on the logic of solving the problem
  • Uses the knowledge base for accurate answers and step-by-step guidance of the client to the result.
  • It divides requests by type — consultations, problems, requests
  • Automatically clarifies details to reduce the number of repeated requests.
  • Escalates difficult cases to employees with already collected context
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х10
response rate
24/7
no days off, vacations, or
human factors
on 20-30%
improving customer satisfaction

Advantages of a chatbot for the company's support service

For managers and product owners
For managers and product owners
  • A complete picture of the requests (what issues are being resolved, where failures and losses occur)
  • Quality control of support through unified information sources and processing scenarios
  • Scaling customer service without increasing costs


Find out the cost of implementing an AI chatbot with a knowledge base

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For project and operational managers
For project and operational managers
  • Unified logic for handling requests
  • Automatically guiding the client according to the script before the transfer to work
  • Reducing the number of errors by using a proven knowledge base


Learn how an AI-powered chatbot builds support processes.

Request a roadmap
For users
For users
  • Instant responses without waiting in line
  • Step-by-step help in solving the problem
  • The ability to receive a response at any time, regardless of the workload of employees


Order the implementation of a chatbot with a knowledge base

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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 up-to-date 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

Stages of implementing an AI chatbot for customer support

1

Planning and auditing

We determine which requests the bot should handle: consultations, product assistance, application processing, and internal inquiries. We analyze the current support processes, communication channels and points of loss in processing requests.

2

Preparation of the knowledge base

Creating a structured framework for responses:

  • we collect and systematize internal materials (instructions, regulations, FAQ, correspondence);
  • We describe products, services, and business processes.;
  • We bring the information to a single format so that the bot gives accurate and consistent answers.
3

Designing support logic and integrations

Setting up how the bot will conduct a dialogue and solve problems:

  • scenarios for processing different types of requests;
  • the logic of clarifying questions and transitions;
  • integration with CRM, website, messengers and internal systems;
  • routing and transmitting complex requests to employees.
4

Testing

We are testing the work on real cases.

5

Implementation and maintenance

We are implementing the solution into our workflows: we connect channels and set up analytics, monitor the quality of responses and user behavior, regularly update the knowledge base and improve the logic of processing requests.

Why does a business need an AI-based chatbot with a knowledge base for customer support?

The AI bot builds a systematic work with requests: it uses the corporate knowledge base, data from CRM and internal systems to give accurate answers and bring the client's request to the result.


When is an AI chatbot really needed?

  • Support is unable to cope with the volume of requests and the response time is increasing.
  • Clients write outside of business hours and do not receive a response on time.
  • The flow of applications is increasing and requests are being lost.
  • The staff's responses vary in quality and errors occur.
  • Knowledge is stored separately and is not used systematically.

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Frequent questions

Who is suitable for an AI-based chatbot?
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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