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AI HR assistant
80%
reduction in lead generation time
AI-powered chatbots and the LLM
Customer
DUC HR Department
CHALLENGES/FEATURES
The HR department faces a high workload associated with routine paperwork for new employees.
The need to accurately transfer data from candidate-provided documents (passport, taxpayer identification number, SNILS) into form templates.
A large number of document templates (offers, questionnaires, employment contracts) require accurate completion.
The risk of human error during manual data entry leads to legal and reputational costs.
The need for a unified and user-friendly interface for interactions with candidates and HR specialists.
The need to accurately transfer data from candidate-provided documents (passport, taxpayer identification number, SNILS) into form templates.
A large number of document templates (offers, questionnaires, employment contracts) require accurate completion.
The risk of human error during manual data entry leads to legal and reputational costs.
The need for a unified and user-friendly interface for interactions with candidates and HR specialists.
Develop an AI assistant to fully automate the document preparation process during the onboarding process.
The solution should be integrated into Telegram for maximum convenience and accessibility, and eliminate errors when filling out forms through intelligent data extraction.
The solution should be integrated into Telegram for maximum convenience and accessibility, and eliminate errors when filling out forms through intelligent data extraction.
Task
solution
Technical solution
The AI HR bot is implemented in Telegram using the Langflow framework and a large language model.
The technical solution includes:
An intuitive Telegram interface with a menu of buttons for navigating the onboarding process.
Offer completion scenario:
Extracting data from a text dialogue with the HR manager (name, position, salary) and then automatically inserting it into a PowerPoint template.
Questionnaire completion scenario:
Intelligent parsing of uploaded document images (passport, taxpayer identification number, SNILS) using LLM to accurately extract details and populate Word templates.
Contract generation scenario:
Automatic creation of a package of employment documents (based on the Russian Labor Code template or for individual entrepreneurs) based on data from the completed questionnaire.
Unified processing pipeline:
All scenarios use workflows configured in Langflow to process requests using LLM. The output data format is standardized JSON for subsequent integration with document templates.
The technical solution includes:
An intuitive Telegram interface with a menu of buttons for navigating the onboarding process.
Offer completion scenario:
Extracting data from a text dialogue with the HR manager (name, position, salary) and then automatically inserting it into a PowerPoint template.
Questionnaire completion scenario:
Intelligent parsing of uploaded document images (passport, taxpayer identification number, SNILS) using LLM to accurately extract details and populate Word templates.
Contract generation scenario:
Automatic creation of a package of employment documents (based on the Russian Labor Code template or for individual entrepreneurs) based on data from the completed questionnaire.
Unified processing pipeline:
All scenarios use workflows configured in Langflow to process requests using LLM. The output data format is standardized JSON for subsequent integration with document templates.
Result
Business values
Speeding up the employee onboarding process
Reduce time costs by 80%
Candidates receive the entire application package within minutes, not days, significantly improving the onboarding experience.
Automating routine document filling frees up to 5-7 of HR specialist time for each new employee.
The accuracy of data extraction from documents using LLM reduces the risk of errors in legally significant documents to zero.
24/7 availability
Elimination of the human factor
The bot works 24/7 in your favorite messenger, allowing you to process documents outside of working hours and remotely.
Scalability
The solution easily adapts to new document templates and contract types, saving resources on staff expansion.
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Development of software
and Big Data solutions
and Big Data solutions
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