한국어 
日本語 
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Ask AI about
your training operations
Learning status, data analysis, report extraction. No more spreadsheets. An admin-only AI that answers in natural language.
Natural
Language
Query Method
Say "Team A's completion rate this month" and AI finds and responds with data.
CSV
Report Export
Say "download" during a conversation and a CSV file is generated instantly.
Real-time
Data Refresh
Learning data is updated in real time. No more monthly Excel consolidation.
Manage learning
through conversation
-
Type "What's the average learning time for the top 5% of the group that Park belongs to?" and AI queries the data and responds. Combine conditions like department, role, and date range. No SQL or pivot tables needed — just ask what you want to know.
Natural language → data response -
Ask "Download this data as CSV" during a conversation and a file is generated. Extract common metrics like unique visitors, course completion rates, and department participation — all through conversation. Eliminate monthly Excel manual work.
Conversational report generation -
Previously, admins downloaded data monthly from the LMS admin page and processed it in Excel. AI Admin queries learning data in real time. Ask "How many non-completers today?" and get the number immediately.
Sales Team 1 top 5% (3 people) average learning time:
12.4 hours/month (2.95x the team avg of 4.2 hours)
2. D. Choi — 12.8 hours
3. S. Kim — 10.2 hours
Sales 92% · Marketing 87% · Dev 78%
Admin 95% · Logistics 64%
Logistics 52 (28%), Sales 41 (22%).
Data drives
your strategy
-
AI analyzes learning patterns by department and role. Identify which teams have low participation and which content performs well. From 100+ company operations data: when content upload frequency drops below once a week, MAU plummets. AI Admin alerts you to these warning signs early.
Pattern analysis + early warnings -
AI automatically categorizes mandatory training non-completers. It classifies by pattern, extracts reminder targets. No more manually pulling lists. Observed across 40+ companies: median MAU during mandatory training periods is 89%.
Mandatory training MAU median: 89% -
AI proposes strategies based on learning data. For example, if a department's completion rate is low, it may suggest adjusting content supply frequency or applying gamification. Provides actionable insights for admin decision-making.
1. Content supply frequency: 0.5x/month (recommended: weekly)
2. Field workers: limited mobile access
3. No allocated training time
AI handles
repetitive tasks
-
Auto-send staged reminder messages (1st, 2nd, 3rd) to non-completers. Only re-sends to those who didn't confirm. No more manually pulling lists and contacting individuals.
1st → 2nd → 3rd auto-reminders -
Monitor learning status in real time by course, member, and group. Auto-detect learners with low progress and add them to targeted notification lists. Reduces 40+ hours of monthly manual admin work.
40+ hours/month manual work saved -
HQ manages everything while department-level sub-admins run their own team training. Korea Railroad Corporation operates with 71 sub-admins in a distributed model — central control with local autonomy.
71 sub-admins in distributed operation
How L&D admin work changes
| Task | Traditional Method | AI Admin |
|---|---|---|
| Learning status check | LMS admin page → Excel download → pivot table | "Show Team A's completion rate" — one message |
| Report creation | Monthly, half-day effort | Conversational CSV export, minutes |
| Non-completer management | Manual list extraction + individual notifications | AI auto-classification + reminder target extraction |
| Data analysis | Requires dedicated analyst | Admins query directly via natural language |
