B
AI Supply Chain Risk Flash
3.65
Derivation Chain
Step 1
US AI company supply chain risk designation
→
Step 2
Diagnosis of Korean companies' AI vendor dependency
→
Step 3
Real-time monitoring alerts for AI vendor political risks
Problem
Korean IT companies and startups rely heavily on US AI APIs from providers like Anthropic and OpenAI for core services. However, geopolitical risks—such as supply chain risk designations, export controls, and sanctions by the US government—fluctuate frequently. CTOs and technical leaders spend 3-5 hours per week manually monitoring US policy news, and sudden policy changes can require 2-4 weeks of emergency vendor migration efforts.
Solution
The service crawls US executive orders, congressional bills, and Department of Commerce notices in real time, automatically analyzes the impact on the AI vendors the user is using, and sends alerts via Slack or email. It provides a vendor alternative matrix and migration difficulty scores to support contingency planning.
NUMR-V Scores
NUMR-V Scoring System
| 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. |
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (67%)
Data Availability
17.5/25
Feasibility Breakdown
| 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. |
Market Validation (66/100)
Validation Breakdown
| 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. |
Technical Requirements
Backend [medium]
AI/ML [medium]
Frontend [low]