enterprise-ai-scenario-map

To generate an AI scenario map for enterprise business diagnosis, provide a company name and country to trigger web research. The framework collects industry evidence and outputs a structured V2.1 report containing a prioritized scenario inventory and implementation roadmap.

AI use-case discovery identifies applicable artificial intelligence implementations across enterprise departments. This Skill supports it by executing ordered web searches to gather company and industry data, translating business pain points into a prioritized matrix of over 30 AI application scenarios.

Yes, you need Python 3.8+ to execute the research framework script. Additionally, a web-search capable agent is required to complete the ordered data collection process and generate the final V2.1 template report.

Yes, you can use this Skill for phased AI implementation planning across enterprise departments. It produces a complete report featuring an enterprise profile, industry practice scanning, a full 30+ AI scenario inventory, and a priority matrix to guide your roadmap.

The best way to start enterprise AI adoption planning is running the deep research step first. Input a company name and country, let the web-search agent collect evidence, and then generate the V2.1 report containing your prioritized AI scenario inventory.

A key limitation is the dependency on a web-search capable agent for data collection; without it, the V2.1 template cannot be populated. Furthermore, the report structure is fixed, meaning the 30+ scenario inventory strictly follows the V2.1 template format.