B

AI Safety Report Protocol Builder

3.30

Derivation Chain

Step 1 OpenAI system flaws and strengthening safety reporting systems
→
Step 2 Tools for AI service operators to build safety reporting and escalation systems
→
Step 3 SaaS that auto-generates report protocol templates and workflows

Problem

Korean startups and SME IT companies (10-100 employees) operating AI services lack a systematic response protocol when receiving user reports of harmful content generation, hallucination-related harm, or personal information exposure, relying instead on individual staff judgment. As the EU AI Act and Korea's AI Framework Act discussions progress, a documented system of report intake → classification → escalation → remediation → reporting is becoming a compliance requirement, but building it in-house would require 2-3 legal and development staff for 4-8 weeks.

Solution

Select company size, AI service type (chatbot/image generation/recommendation, etc.), and applicable regulations (EU AI Act / Korea AI Framework Act / self-regulation) to automatically generate a customized safety report protocol document (intake form, classification criteria, escalation matrix, remediation templates, periodic reports). Slack/Jira webhook integration provides automatic ticket creation and escalation alerts when reports are received.

Target: CTOs/compliance officers at startups and SME IT companies operating AI services (10-100 employees), and information security teams at mid-sized companies adopting AI.
Revenue Model: SaaS monthly subscription: 39,000 KRW (approx. $29.25) per organization (basic: protocol generation + 50 report management per month), Premium Plan: 99,000 KRW (approx. $74.25) per month (unlimited reports + Slack/Jira integration + quarterly audit reports), 20% discount for annual payment.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

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 (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
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 [medium] AI/ML [low]
Dashboard