A

AI Basic Act Vendor Due Diligence Checklist

4.30

Derivation Chain

Step 1 AI Basic Act enforcement
→
Step 2 Mandatory corporate AI governance
→
Step 3 Legal due diligence required for AI vendor selection
→
Step 4 Due diligence checklist automation

Problem

With the enforcement of the AI Basic Act, companies must conduct due diligence on vendors' legal compliance when adopting external AI solutions (chatbots, recommendation engines, document automation, etc.), but procurement teams lack AI regulatory expertise and cannot even structure the due diligence criteria. External legal consultation costs $1,500–$3,750 per vendor, and when comparing 3–5 AI vendors, due diligence costs alone exceed $7,500.

Solution

Select the type of AI solution being adopted and its intended use to auto-generate a vendor due diligence checklist based on the AI Basic Act (covering data processing, high-risk classification, transparency, bias verification, etc.). Automatically composes a questionnaire to send to vendors, collects responses, generates a vendor comparison matrix, and calculates risk scores.

Target: IT procurement teams, digital transformation leads, and legal officers at companies with 30–200 employees
Revenue Model: Per-checklist generation at $37 (~49,000 KRW), monthly flat rate at $29/mo (~39,000 KRW) for unlimited generation + vendor comparison matrix. Add-on for vendor questionnaire distribution & response collection at $15/mo (~20,000 KRW)
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
5.0/5
V Validation
4.0/5
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 (78%)

Tech Complexity
34.7/40
Data Availability
23.3/25
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
18.0/20
Revenue Signals
9.0/15
Pick-Axe Fit
10.5/15
Solo Buildability
8.0/10
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

Backend [medium] Frontend [low] AI/ML [low]
Dashboard