In IT companies with 20-200 employees, when using multiple AI APIs such as OpenAI and Claude, integrated billing under one organization account makes it impossible to allocate costs by department or project based on actual usage. The finance team spends 3-5 days on manual Excel reconciliation at month-end, and unclear allocation criteria cause an average of 2-3 inter-departmental disputes per quarter.
Solution
Collects usage logs from major AI APIs (OpenAI, Anthropic, Google, etc.) via API key or proxy gateway, and visualizes token usage and costs by department, project, and individual on a real-time dashboard. Provides automatic month-end settlement report generation, budget overrun alerts, and Slack-integrated cost notifications.
Target: Finance team leads and CTOs at IT service companies with 20-200 employees, and mid-sized agencies that have adopted AI in their operations.
Revenue Model: SaaS monthly subscription: 59,000 KRW per month for 50 seats (approx. $44.25), additional seats at 800 KRW per month each (approx. $0.60). 15% discount for annual payment.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks
NUMR-V Scores
N Novelty
2.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
5.0/5
V Validation
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (74%)
Tech Complexity
34.7/40
Data Availability
19.4/25
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 (76/100)
Competition
10.0/20
Market Demand
20.0/20
Timing
16.0/20
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.