A

AI Job Risk Insurance Planner

3.65

Derivation Chain

Step 1 Wall Street report fallout: 'AI could wreck the economy'
→
Step 2 Financial product design support for AI displacement risk
→
Step 3 Simulation tool for insurance planners designing AI job-loss protection products for clients

Problem

As AI displacement risk becomes a hot topic, customers ask insurance planners about 'job-loss protection' products, but planners cannot explain AI replacement probabilities and income-loss scenarios with objective data for each client's job category. This keeps consultation conversion rates below 15%. Manually building a single scenario takes 2–3 hours, making per-client consultation costs excessive.

Solution

Input a client's job function, level, and years of experience to auto-generate an AI displacement probability timeline and income-loss scenarios (conservative/neutral/optimistic). Recommends insurance, pension, and savings portfolios tailored to each scenario, and exports client-facing visual reports as PDFs.

Target: Insurance planners at GAs (General Agencies) and independent financial advisors (20+ consultations per month)
Revenue Model: SaaS Monthly Subscription: ₩79,000/mo (~$59) per planner; includes 30 reports/month, ₩2,000 (~$1.50) per additional report
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
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 (69%)

Tech Complexity
29.3/40
Data Availability
20.0/25
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 (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
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

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