A
AI Crisis Internal Communications Builder
4.20
Derivation Chain
Step 1
AI Will Collapse Everything by 2028 — Wall Street Research Forecast
→
Step 2
Internal Communication Strategy for AI-Adopting Companies
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Step 3
Automated Internal Announcement & FAQ Generator for AI Adoption
Problem
When executives and HR teams at companies pursuing AI adoption or restructuring need to deliver appropriate messaging to employees, drafting internal announcements and FAQs on such sensitive topics—including legal review—takes an average of 1–2 weeks, and a misstep in tone can trigger labor disputes or media risk.
Solution
A service where users select an AI adoption scenario (task automation, workforce redeployment, new hiring, etc.) and automatically generate internal announcements, employee FAQs, and executive speech scripts that reflect Korean labor law and case precedents. Tone and voice can be customized to styles such as 'Reassuring,' 'Candid,' or 'Vision-Forward.'
NUMR-V Scores
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 (72%)
Data Availability
22.5/25
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 (60/100)
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 [low]
AI/ML [medium]