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Tax accountants and judicial scriveners (solo practices or firms with 5 or fewer staff) performing corporate relocation and restructuring consulting spend an average of 4-6 hours per case manually researching municipality-specific tax incentives, registration costs, and permit changes to prepare client quotes. The AI boom has caused a surge in Startup relocation inquiries, creating severe workflow bottlenecks.
Input client corporate details (industry code, revenue, current address, candidate destinations) to automatically research municipality-specific tax reductions, registration fees, and permit requirements. Auto-generates quotes and proposals in the firm's template format. Matches similar past cases from a reference database to enhance consulting quality.
| 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. |
| 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. |
| 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. |