B

AI Regulation Mapping Update Bot

3.15

Derivation Chain

Step 1 AI governance & data-centric operational strategy
→
Step 2 Enterprise AI governance policy establishment
→
Step 3 AI governance policy document generation
→
Step 4 Automated policy update service for regulatory changes

Problem

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.

Solution

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.

Target: Legal/compliance officers and IT managers at AI-adopting SMEs with 30-200 employees
Revenue Model: SaaS flat rate ₩79,000/month (~$59) per organization, free tier for regulatory change alerts only, policy auto-amendment feature is Paid
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (72%)

Tech Complexity
29.3/40
Data Availability
23.1/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (60/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
20.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Data Pipeline [medium] AI/ML [medium] Frontend [low]
Dashboard