Agentic AI Workflow Tester

3.90

Derivation Chain

Step 1 Top 3 Korean telecoms' agentic AI competition

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Step 2 Agentic AI Solution developers

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Step 3 Agent workflow quality verification tool

Problem

SI teams (5–20 people) at telecom and financial companies looking to adopt agentic AI spend 30–60 minutes per test case manually verifying inputs and outputs at each step of multi-step AI agent workflows. When agent chains exceed 5 steps, edge case combinations grow exponentially, making pre-release quality assurance virtually impossible.

Solution

Visualizes agentic AI workflows as DAGs and provides a test framework that automatically validates input/output schemas at each node. Edge cases are auto-generated using LLM, and regression tests integrate into CI/CD to serve as quality gates before agent deployment.

Target: QA/ML engineers at telecom and financial SI firms, and AI agent development startups

Revenue Model: SaaS Monthly Subscription ~$60/project (500 test runs/month). Enterprise: ~$220/month unlimited. API call overage ~$0.04 Per Transaction.

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 (68%)

Tech Complexity

24.0/40

Data Availability

24.4/25

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 [medium]

Dashboard