Development of AI Chatbot for Education Administration Support at KoELSA

Development of AI Chatbot for Education Administration Support at KoELSA

SAMWOO IMMERSION OWLIX AI, Lowering Public Admin Threshold. Intelligent Mapping & AI OCR Solution
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PROJECTDevelopment of AI Chatbot for Korea Elevator Safety Agency (KoELSA) Education Administration Support
PROJECT GOAL

The primary goal was to maximize administrative efficiency by intellectualizing KoELSA's complex education system and technician career reporting procedures. By automatically mapping safety management education courses that vary by building, we aimed to reduce the response time for simple confirmation-type civil complaints by over 90%. Additionally, we sought to lower the administrative rejection rate by more than 30% by automating the manual career reporting process using AI OCR and a Rule Engine. Ultimately, we focused on securing innovative information accessibility, allowing citizens to instantly check mandatory legal education and self-verify qualification requirements just by entering an address.

WORK Content Creation / System Infrastructure / Learning Management System
DATE 2026.02
KEYWORD#OWLIX_AI #KoELSA #Intelligent_Administrative_Support #Career_Reporting_Self_Verification #OCR_Data_Structuring #Hybrid_AI #Public_Data_Integration



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The Change in Administrative
"Temperature" by OWLIX AI "Moving away from repetitive complaint handling, I can now focus on data-driven professional administration." 


Interview

Education Administration Officer, KoELSA

"Previously, there was a flood of simple inquiry calls to check education courses that differ by building type, making it difficult to focus on important administrative tasks. Also, verifying numerous documents manually for technician career reporting led to errors and civil complaints due to rejections. However, after introducing the AI Chatbot for education administration support, the system responds in real-time with accurate legal grounds, making me feel as if a veteran administrative expert is supporting me right by my side, providing high work immersion. In particular, AI immediately provides precise diagnosis based on data as soon as it reads documents, making administrative processing clearer and greatly enhancing external trust in public services."


Overview

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This implementation case is a core model of digital transformation that dramatically lowered the threshold for elevator safety management education administration using the OWLIX AI engine. Previously, citizens had to make phone inquiries to find courses matching the floors and usage of their buildings, and administrative gaps were frequent due to errors in verifying technician career documents. SAMWOO IMMERSION combined real-time data from the Ministry of Land, Infrastructure and Transport with advanced AI reading technology to complete an integrated intelligent chatbot system that provides accurate guides to citizens and work efficiency to administrators.



AI Chatbot Configuration for Education Administration Support

01. Automatic Mapping of Customized Education Courses

The service starts simply by the citizen entering their street address. The AI analyzes building information in real-time and immediately recommends mandatory legal education courses suitable for the building's characteristics (number of floors, usage, etc.). It solves vague concerns like "My building is over 120m high, what education should I take?" with a single chatbot conversation.

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02. Intuitive Dual Theme Selection

To reduce the stiffness of administrative work, we provide designs tailored to user proficiency. By selecting 'OWLIX AI Character Mode' on the chatbot's initial screen, users can receive guidance with a friendly guide and soft UI. Selecting 'Expert Mode' allows users to check information in a clean dashboard format emphasizing detailed figures and legal grounds, providing optimized immersion for each user.

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03. Real-time Career Self-Verification

When a technician uploads their career documents (such as Health Insurance Eligibility Certificate) to the chatbot window, the AI immediately reads the documents and calculates whether qualification requirements are met. This eliminates the inconvenience of waiting days for results after submission, allowing users to be judged within 30 seconds on whether they "have the career experience to obtain an Elevator Industrial Engineer license."

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04. Data-Driven Detailed Feedback

Beyond simple approval/rejection notifications, the AI provides detailed data reports. If qualifications are insufficient, it provides specific details and future preparation steps in natural language, such as "9 months of practical experience since obtaining the Elevator Technician license is missing," helping citizens clearly understand administrative results and prepare for the next step.

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Immersion Strategy

The OWLIX AI-based education administration support solution is designed with the highest priority on user experience (UX) immersion, allowing citizens to solve complex administrative procedures as if having a conversation. Moving beyond a text-oriented chatbot that merely delivers information, we synchronized real-time national building public data so that a dedicated education environment tailored to the building's physical characteristics unfolds as soon as a user enters their address.

In particular, by providing data-driven guidance during the process where users upload career documents and the AI reads them in real-time, it offers a high sense of trust, as if meeting an administrative expert face-to-face. Through this, citizens can directly experience and confirm vague legal qualification requirements with their own data, and administrative officers can break away from unnecessary simple complaints and secure professional work immersion within an advanced intelligent administrative system.

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Specialized Technologies of Education Administration Support AI Chatbot

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AI Integrated Verification Engine (OCR/Decision)
Building Info Analysis & Correction
High-speed Processing
One-stop verification process from document info extraction via OCRService to LLM data normalization and Rule Engine legal criteria (Enforcement Decree Art. 28) analysis.
Precisely matching education courses by floor/usage with Logic Tree algorithm, and correcting missing data through PNU transformation and regex preprocessing.
Ultra-fast inference environment processing the entire process, including complex legal condition calculations, in an average of 1.5 to 2.5 seconds.




OWLIX AI-based Elevator Safety Agency Education Administration Support Chatbot 

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View details of KoELSA Education Administration Support AI Chatbot >>





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