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SMEs that have established AI governance policies must manually update their policy documents every quarter as regulations change — including EU AI Act implementing rules, Korea's AI Basic Act subordinate legislation, and Financial Services Commission AI guidelines. SMEs without legal teams risk missing regulatory changes and facing penalties, or paying ₩5-10M (~$3,750-$7,500) per engagement for external legal counsel each time.
Monitors AI-related regulatory source texts (EU AI Act, Korea's AI Basic Act, industry-specific guidelines) in real time, automatically identifying affected clauses in the company's existing AI governance policy documents when changes occur. Proposes amendments to policy clauses requiring updates and auto-updates documents upon approval.
| 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. |