XAI Token Explanation Report Generator

3.90

Derivation Chain

Step 1 Emergence of explainable AI models (Steerling-8B)

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Step 2 Increasing demand for AI model transparency

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Step 3 Automated token-level rationale Report generation SaaS for AI model outputs

Problem

IT agencies (10-30 people) delivering AI Solutions to finance, Medical, and Legal clients face demands to 'explain why the AI reached this conclusion,' but lack tools to show token-level evidence for LLM outputs. Manually writing AI decision rationale for client compliance reports takes 4-8 hours per case, and insufficient evidence during audits delays AI adoption.

Solution

Automatically converts token-level contribution analysis from explainable AI models (e.g., Steerling-8B) into visual Reports understandable by non-technical stakeholders. Provides domain-specific Report templates for finance/Medical/Legal, auto-generates audit-ready PDFs, and includes time-series comparison (tracking changes from previous decisions).

Target: PMs and development teams at IT agencies delivering AI Solutions in finance, Medical, and Legal sectors

Revenue Model: API-based Billing at 2,000 KRW (~$1.50) per Report; Monthly Subscription at 300,000 KRW (~$225)/month (200 reports included); Enterprise at 1,000,000 KRW (~$750)/month (unlimited + custom templates)

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

3.0/5

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.

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

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 (65/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

20.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

15.0/15

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] Frontend [medium] AI/ML [low]

Dashboard