The conversion journey of an API Catalog from EDP to AI Knowledge Sources will provide a smooth and intuitive experience for users transitioning from the existing platform to the new AI-powered version. The conversion journey will include specific cases for the Enterprise Account, catering to different personas such as Account Holders, Developers, and Content Creators.
Intended Outcomes
User Adoption and Satisfaction: Facilitate a smooth transition that minimizes disruptions, ensuring high user adoption rates and overall user satisfaction with both platforms.
Reduced Learning Curve: Provide a user experience that is intuitive and familiar, reducing the learning curve for existing users migrating API Catalog as Knowledge Sources. This is essential for a quick and efficient adaptation to the upgraded platform.
Enterprise Account Tailoring: Cater to the diverse needs of Enterprise Accounts by incorporating specific use cases and considerations for different user personas, including Account Holders, Developers, and Content Creators. This tailored approach ensures that each user type can seamlessly integrate Knowledge Sources into their respective workflows.
Minimized Disruptions: Mitigate disruptions during the transition, ensuring that users can continue their work without significant downtime. This includes a thoughtful migration of data and configurations from EDP to AI to maintain business continuity.
Summary
The conversion journey of an API Catalog from EDP to AI Knowledge Sources will provide a smooth and intuitive experience for users transitioning from the existing platform to the new AI-powered version. The conversion journey will include specific cases for the Enterprise Account, catering to different personas such as Account Holders, Developers, and Content Creators.
Intended Outcomes