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Developing smart chatbots based on LLM models
scientific
approach
data-driven
guarantee
12 months
Get advice from DUC Technologies experts on how to improve customer communications and collect valuable data for your business.
Assistant to the manager
A smart chatbot for answering questions in a specific subject area
Integration with instant messaging apps, social networks, websites, and other platforms
Smart first line support employee
unique assistants for business
Smart chatbots for business — software agents that can talk to users, analyze their requests, provide information, solve problems, and provide support
Discuss the project
Send a request and our specialists will contact you within 1 hour.
Нажимая кнопку «Отправить», Вы даете однозначное согласие на обработку своих персональных данных в объеме и с целями, определенными Политикой в отношении обработки персональных данных.
Cases
Our projects
90%
3
compiled the accuracy of the answers
more
The workload on technical support has decreased
We created a digital assistant to accurately and securely answer user questions while minimizing risks to the company's image
Design and development of a digital assistant based on artificial intelligence
чат-боты на базе ИИ и LLM-модели
times
70%
х2
compiled the accuracy of the answers
more
time savings for two technical support employees at one management company branch
We created a chatbot integrated with accounting systems that processes typical questions from residents with high accuracy and without errors
Smart chatbot assistant for technical support staff
чат-боты на базе ИИ и LLM-модели
90%
3
compiled the accuracy of the answers
more
The workload on technical support has decreased
We created a digital assistant to accurately and securely answer user questions while minimizing risks to the company's image
Design and development of a digital assistant based on artificial intelligence
чат-боты на базе ИИ и LLM-модели
times
70%
х2
compiled the accuracy of the answers
more
time savings for two technical support employees at one management company branch
We created a chatbot integrated with accounting systems that processes typical questions from residents with high accuracy and without errors
Smart chatbot assistant for technical support staff
чат-боты на базе ИИ и LLM-модели
Reviews
Feedback from clients and partners
Ismagilov Amir
I would like to express my sincere gratitude for the contribution the DUK Technologies team made to the development and launch of our new chatbot based on GigaChat. This turnkey project was the result of great perseverance, creativity, and professionalism. A tremendous amount of work was accomplished in a very short time, from researching our clients' needs to testing the final version of the bot.
General Director of DELION LLC
I would like to express my sincere gratitude for the contribution the DUK Technologies team made to the development and launch of our new chatbot based on GigaChat. This turnkey project was the result of great perseverance, creativity, and professionalism. A tremendous amount of work was accomplished in a very short timeframe, from researching our clients' needs to testing the final version of the bot.
As you know, today's market demands constant development and adaptation. The launch of this chatbot is a clear demonstration of our commitment to keeping up with the latest technologies and actively using them to improve the quality of our services. Therefore, the chatbot utilizes cutting-edge natural language processing technologies—LLM (Large Language Model), ensuring high-quality responses to almost any user request.
Integrating the bot into Telegram is an excellent solution, as this platform is one of the most popular among our target audience. I believe this step will not only improve our interactions with existing clients but also attract new users.
Thank you again for your hard work and professionalism! I am confident that there are many more successful projects ahead that we can implement together.
.
Ismagilov Amir
General Director of DELION LLC
As you know, today's market demands constant development and adaptation. The launch of this chatbot is a clear demonstration of our commitment to keeping up with the latest technologies and actively using them to improve the quality of our services. Therefore, the chatbot utilizes cutting-edge natural language processing technologies—LLM (Large Language Model), ensuring high-quality responses to almost any user request.
Integrating the bot into Telegram is an excellent solution, as this platform is one of the most popular among our target audience. I believe this step will not only improve our interactions with existing clients but also attract new users.
Thank you again for your hard work and professionalism! I am confident that there are many more successful projects ahead that we can implement together.
.
Ismagilov Amir
General Director of DELION LLC
Step 1
Step 2
Step 3
about the service
Smart Chatbot development framework
Inspection
Development
Support and advancement
Inspection
01/03
1. Collection of requirements and data
Determining the availability and sources of input data
Estimating the volume of requests and the expected load on the system
Identifying infrastructure requirements: choosing an LLM, cloud or on-premises, API requirements, system composition, and security
2. Analysis of collected requirements and data
Choosing LLM - Cloud or Contour Model
In the case of a contour model, the choice of its size affects the model's skills and knowledge. Small models are good at classifying data, identifying information in text, and solving some logical problems, but are unable to engage in dialogue. Larger models can do all of the above and are capable of dialogue.
Selecting a technology to implement project objectives
Выявление требований к инфраструктуре: выбор LLM, облачная или в своем контуре, требования к API, составу системы, безопасности
Development
02/03
1. Development of a chatbot (Promt-engineering, RAG development, fine-tuning) and its interaction with LLM
Selecting a user-facing interface, such as a Telegram chat
Setting up interaction with LLM: take into account the limits on the number of requests, in UX development take into account the system response time so that the user sees that the system is processing their request
2. Development of the web version and backend of the chatbot
3. Integration of the chatbot into internal systems and databases
4. Testing on different data sets
5. Deploying the model in an industrial environment, setting up monitoring
Support and advancement
03/03
Training for on-site employees on how to use chatbots and the LLM model
Technical support, troubleshooting and problem solving
System refinement: expanding the topics for the expert system, changing dialog scripts for communication systems, adapting analytical systems to new data
Adapting the system to growing loads: caching, task queues, requests to increase request limits from cloud providers, etc.
An example of the use of smart AI-based chatbots
sales
HR
continuous, round-the-clock monitoring of the flow of messages in communities where potential clients are present
Lead Search
connecting to chats, such as Telegram
BUSINESS VALUES:
/01
instant response to trigger messages that are analyzed based on the meaning of the text, not on a template
increase in lead flow
reading messages
communication in a general chat or in private messages
reducing the cost of a lead
real-time monitoring of sales department performance
Quality control in the sales department
Integration with the customer's CRM, PBX, Zoom, etc.
BUSINESS VALUES:
/02
a significant reduction in quality control costs
Sales department managers promptly adjust the work of salespeople
Further training of the sales department on regulatory documentation: scripts, rules, product
analysis of call and meeting recordings and assessment of the conversation's compliance with standards
increase in conversion and profits
eliminating the situation when a lead is “burned out” due to a long or unqualified response to his request
Lead Qualification
Integration into customer chats, such as a TG bot, website chat, etc., which leads access through advertising links
BUSINESS VALUES:
/03
a multiple reduction in the cost of processing leads
24/7 high-quality lead processing
Lead qualification: clarifying intent, qualifying questions, scheduling a meeting with a sales representative
24/7, fast and high-quality customer support
After-sales support
integration into customer chats
BUSINESS VALUES:
/04
reducing support costs
NPS growth
responding to customer inquiries about the product
connecting the client with the sales department if the need for additional or repeat sales is identified
revenue growth through repeat sales
соединение клиента с отделом продаж в случае выявления потребности в дополнительных или повторных продажах
reduction in hiring costs
Initial interview
chat integration
BUSINESS VALUES:
/01
increasing the flow of applicants: initial interviews are held in parallel and around the clock, at a time convenient for the applicant
job seekers are directed to the chat or they independently, from the vacancy, go into the dialogue
initial interview
increasing the quality of applicants, eliminating the influence of the human factor
applicant's qualifications
scheduling an interview in case of successful qualification
reducing the time spent on providing employees with the necessary information
Coordinator
Resolving frequent employee requests, such as: sick leave or vacation processing, project launch procedures, issuing passes, and other internal process issues
BUSINESS VALUES:
/02
increase in production and increase in profits
Additionally, integration with ERP, CRM, and other systems allows employees to receive real-time information, such as accrued salaries, vacation pay, etc.
reducing the costs of qualification confirmation
Confirmation of qualifications
preparation of open questions in accordance with regulatory documentation and employee qualifications
BUSINESS VALUES:
/03
increasing the speed of the process
The employee answers in free form regarding the exam and final grades
a significant increase in the quality of employee knowledge, and consequently a reduction in downtime/failures, an increase in output
A recommendation or plan for studying topics for which qualifications have not been confirmed. It is possible to build an automated training center or an internal academy.
automation of the employee training process
Technology stack
AI technologies
Processing and analysis of text data
NLTK
Gensim
BERTopic
SpaCy
Langchain/Llamaindex
Flowise
LLM*
Development
and deployment
and deployment
FastAPI
Docker
Large Language Models (LLM)
GigaChat
ChatGPT
YandexGPT
proprietary:
LLaMA
Gemma
open:
Mixtral
Saiga
depending on the complexity of the project
Cost
Development timeframes
from
30
working days
The cost of the contract is determined individually, depending on the specific business task.
AI Assistant Development Fees
cost
Outstaffing
Strengthening the project's IT team in 3-5 days with experienced specialists from DUC Technologies with industry expertise
Outsourcing
Full cycle of IT solution development by the DUC Technologies team
Models of cooperation
Free replacement of a specialist
If your current specialist does not meet your requirements, you can request a replacement at no additional cost.
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Development of software
and Big Data solutions
and Big Data solutions
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