AI Phone Agent Permission Auditor

3.00

Derivation Chain

Step 1 Agentic AI phone proliferation

→

Step 2 AI phone app agent development tools

→

Step 3 Agent permission and behavior audit SaaS

Problem

As agentic AI phones like Galaxy S26 proliferate, there is no way to pre-verify whether the permissions app developers grant to AI agents (payments, contact access, location tracking, etc.) exceed user consent boundaries. Failing to catch excessive permissions before app store review results in rejection or privacy violation issues, causing an average 2-4 week launch delay and legal risk.

Solution

Upload the app's agent manifest file for automatic permission scope analysis, generating a report on potential violations against Korea's Personal Information Protection Act and Google/Samsung policies. Features include: (1) automatic permission matrix parsing, (2) compliance checking against Korean privacy law + app store guidelines, (3) remediation suggestions and alternative permission structure recommendations.

Target: Mobile app development companies (5-30 employees), app PMs and security officers

Revenue Model: SaaS monthly subscription at 49,000 won (~$37)/project, 20% discount for annual billing. Free Trial with 3 scans included.

Ecosystem Role: Regulation

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

3.0/5

V Validation

3.0/5

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.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (70%)

Tech Complexity

29.3/40

Data Availability

20.8/25

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 (55/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

9.0/15

Pick-Axe Fit

10.5/15

Solo Buildability

5.0/10

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.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

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

Dashboard