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As AI adoption accelerates, AI-related labor regulations from the Ministry of Employment and Labor and National Assembly legislation are changing rapidly, but HR and labor affairs managers at companies with 50–200 employees struggle to track scattered regulatory changes in real time. Missing regulatory updates can result in fines of $3,750–$22,500 per violation and labor dispute risks, while retaining a labor law firm costs $375–$1,500 per month.
Auto-crawls the Ministry of Employment and Labor, National Assembly legislative notices, and court precedents to filter AI/automation-related labor regulatory changes, and delivers summary cards interpreting 'the impact on your company' tailored to company size and industry. Provides checklists and document templates when action is required.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |