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When companies establish AI divisions or roll out AI tools company-wide, the AI team spends 1–2 weeks per department preparing internal briefings to gain understanding and cooperation from non-technical departments (Sales, HR, Finance). Each department has different concerns (Sales: revenue impact, HR: job impact, Finance: cost justification), but a one-size-fits-all presentation lacks persuasiveness, and over 30% of AI projects are delayed due to internal resistance.
Input your company's AI adoption plan (tools being adopted, scope of impact, budget) to automatically generate department-specific briefing content (presentation decks, FAQs, demo scenarios). Core features: (1) Department-specific concern profiling, (2) Customized PPT + script auto-generation, (3) Anticipated Q&A simulation.
| 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. |