S

AI Basic Act High-Risk Classification Simulator

4.70

Derivation Chain

Step 1 AI Basic Act enforcement
→
Step 2 AI system high-risk classification framework
→
Step 3 Pre-classification simulation tool

Problem

The high-risk AI system classification criteria — the core of the AI Basic Act — are ambiguous, leaving Startups (3–15 employees) developing AI SaaS unable to determine with certainty whether their products qualify as high-risk. Legal firm consultations cost $3,750–$11,250 per engagement, and incorrect classification carries risks of fines or service suspension. Classification is particularly difficult for borderline cases such as HR AI, financial AI, and medical assistant AI.

Solution

Through structured questions about the AI system's purpose, target users, decision-making impact, and data types, the system provides a preliminary classification result based on the AI Basic Act's high-risk criteria. Each determination is explained in detail by provision, references similar precedents and guidelines, and generates a compliance requirements roadmap based on the classification result.

Target: Founders, CTOs, and product managers at AI SaaS Startups with 3–15 employees
Revenue Model: Per-simulation $74 (includes detailed classification Report), Monthly Subscription $37/month (unlimited simulations + reclassification alerts on regulatory changes). Legal firm referral consultation brokerage fee 10%
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
5.0/5
V Validation
5.0/5
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 (73%)

Tech Complexity
29.3/40
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 (63/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
18.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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 [medium]
Dashboard