AI Basic Act University Compliance Checker

3.50

Derivation Chain

Step 1 AI Basic Act enforcement and university standard development

→

Step 2 University AI governance consulting

→

Step 3 Self-assessment and policy generation tool for university AI usage

Problem

With the AI Basic Act taking effect, approximately 400 universities nationwide must establish their own AI usage standards, but apart from leading institutions like Pusan National University, most lack dedicated AI governance personnel. Legal and IT teams interpret regulations independently, taking an average of 3–6 months to draft policies, with significant risk of non-compliance findings during Ministry of Education audits.

Solution

Based on AI Basic Act provisions and standards from leading universities like Pusan National, the tool takes survey-style inputs on a university's AI usage (classroom AI tools, research data, administrative automation) and auto-generates a customized AI governance policy draft and implementation roadmap. Automatic update notifications are provided when Ministry of Education guidelines change.

Target: IT and academic affairs staff at 4-year universities, planning departments at colleges (student body of 3,000–15,000)

Revenue Model: SaaS Annual Subscription: small university $900/year, mid-size $1,800/year, large $2,700/year. Includes 1 policy draft generation, unlimited subsequent updates

Ecosystem Role: Regulation

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

4.0/5

M Market

3.0/5

R Realizability

4.0/5

V Validation

3.0/5

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.

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

22.5/25

MVP Timeline

20.0/20

API Bonus

0.0/15

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 (59/100)

Competition

8.0/20

Market Demand

3.8/20

Timing

18.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

12.0/15

Solo Buildability

7.0/10

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] Frontend [low] AI/ML [medium]

Dashboard