B

Full-Stack AI Adoption Technical Due Diligence Checklist

3.50

Derivation Chain

Step 1 SKT Full-Stack AI competition
→
Step 2 Support for enterprise AI adoption decisions
→
Step 3 AI vendor technical due diligence automation tool

Problem

As large enterprises like SKT promote 'Full-Stack AI' and sell infrastructure-model-service packages, the IT teams of purchasing companies find it difficult to conduct their own due diligence on vendor lock-in risk, data sovereignty, SLA feasibility, and model performance verification. It takes an average of 2-3 months for technical review, and hiring professional consulting costs $15,000-$37,500.

Solution

Provides a structured due diligence checklist for AI vendors' technology stacks (infrastructure, model, service), and automatically scores risk items (vendor lock-in, data portability, SLA specificity, price transparency) when a vendor proposal PDF is uploaded. Also provides industry-specific reference comparisons and negotiation point guides.

Target: CTOs and IT department heads at mid-sized companies with 50-300 employees, government IT procurement officials, and freelance IT consultants.
Revenue Model: Basic checklist free, automatic vendor proposal analysis per use: $74.25, enterprise subscription (unlimited analysis and benchmark DB access) at $142.50 per month.
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
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

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