<table> <thead> <tr> <th>Title</th> <th>User Story</th> <th>Acceptance Criteria</th> </tr> </thead> <tbody> <tr> <td>Enhance Digital Engagement</td> <td>As a customer, I need digital workers that appear and sound human-like to improve interaction and adoption with my users.</td> <td> <ul> <li>Digital workers must have visually human-like avatars.</li> <li>Voices should be natural and capable of expressing a range of emotions.</li> <li>95% of user interactions should report improved engagement.</li> </ul> </td> </tr> <tr> <td>Enhance Digital Engagement</td> <td>As a customer, I need the ability to personalize digital worker identities to better align with my brand, fostering user trust and empathy.</td> <td> <ul> <li>User interface allows selection of names, faces, and voices.</li> <li>Customization options include brand-centric color palettes and tones.</li> <li>80% of client testers should find the personalization feature satisfactory.</li> </ul> </td> </tr> <tr> <td>Improve Task Management and Automation</td> <td>As a customer, I need digital workers who can clearly and dynamically communicate tasks and automation instructions through realistic voice interactions.</td> <td> <ul> <li>Voice synthesis should accurately describe tasks with 95% clarity.</li> <li>Users should receive voice feedback for task completion and updates.</li> <li>Task automation completion rates should improve by 25%.</li> </ul> </td> </tr> <tr> <td>Improve Task Management and Automation</td> <td>As a customer, I need the ability to assign specific personas to different roles within the enterprise to enhance clarity and productivity.</td> <td> <ul> <li>Admins can assign digital personas based on role descriptions.</li> <li>User interface must display persona roles clearly for task assignment.</li> <li>90% of enterprise users report increased task clarity.</li> </ul> </td> </tr> <tr> <td>Promote Brand Identity and Culture</td> <td>As a customer, I need to differentiate my AI solutions by aligning digital worker personas with my brand culture, improving user experience and adoption.</td> <td> <ul> <li>Interface should allow integration of brand elements in personas.</li> <li>Users should be able to measure persona adoption rates.</li> <li>Client satisfaction with brand alignment should be 85% or higher.</li> </ul> </td> </tr> <tr> <td>Ensure Inclusivity and Diversity</td> <td>As a customer, I need digital workers that support diverse role-based profiles to ensure inclusivity and relatability across my organization.</td> <td> <ul> <li>System generates diverse and inclusive digital worker profiles.</li> <li>Users can select diversity parameters to align with company policies.</li> <li>Diversity satisfaction scores should reach 80%.</li> </ul> </td> </tr> </tbody> </table>

<table><thead><tr><th>Title</th><th>User Story</th><th>Acceptance Criteria</th></tr></thead><tbody><tr><td>Epic 1: Humanization of Digital Workers</td><td>As a business, we want to dynamically generate personalized names for digital workers to enhance user engagement and provide a more human-like interaction.</td><td>- Given a list of user preferences, the system must be able to generate a set of name options. <br>- Generated names should be relevant to the demographic profiles typical to the enterprise. <br>- The system must allow managers to select and apply a generated name to a digital worker.</td></tr><tr><td>Epic 1: Humanization of Digital Workers</td><td>As a business, we want to create personalized faces for digital workers to foster trust and empathy in human-to-machine collaboration.</td><td>- The system must offer a variety of face options dynamically generated based on user input or predefined enterprise settings. <br>- Faces should align with demographic and cultural representations. <br>- Managers should be able to preview and select a face for the digital worker.</td></tr><tr><td>Epic 1: Humanization of Digital Workers</td><td>As a business, we want to develop distinct voices for digital workers to improve clarity and effectiveness in communication.</td><td>- Voices generated should be realistic and clear for diverse accents and languages. <br>- Users should be able to test voice samples and choose the most suitable one. <br>- The system must ensure seamless integration of the selected voice for interactions.</td></tr><tr><td>Epic 2: Enterprise Differentiation and Identity</td><td>As a business, we want to allow enterprises to customize digital personas to align with their brand identity, enhancing user experience and differentiation in the market.</td><td>- The system should permit customization of digital personas to reflect specific brand attributes. <br>- Customization settings should be saved for future reuse across different digital workers. <br>- The changes should be reflected consistently in all user interfaces where the digital worker appears.</td></tr><tr><td>Epic 3: Inclusivity and Diversity</td><td>As a business, we want to support role-based diversity in digital workers to enhance representation across various enterprise environments.</td><td>- The AI generator must offer diverse digital profiles based on different role requirements. <br>- Each role should have multiple profiles reflecting gender, ethnicity, and age diversity. <br>- Enterprises should be able to review and select profiles that suit their diversity goals.</td></tr><tr><td>Epic 3: Inclusivity and Diversity</td><td>As a business, we want to offer configurations for diverse and inclusive digital profiles to match the organizational needs of enterprises.</td><td>- The system should allow configuring profiles based on enterprise diversity policies. <br>- Configured profiles must be applicable across different roles and tasks within the enterprise. <br>- The system should allow periodic review and update of these configurations to adapt to changes.</td></tr><tr><td>Epic 4: Implementation and Integration</td><td>As a business, we want to provide a user-friendly interface for configuring and managing digital personas, enabling seamless enterprise adoption.</td><td>- The interface must be intuitive and require minimal training for enterprise users. <br>- Users should be able to easily navigate through configuration options and implement changes. <br>- The interface should support role-based access control for security purposes.</td></tr><tr><td>Epic 4: Implementation and Integration</td><td>As a business, we want to develop an integration guide to facilitate the implementation of the AI generator across different enterprise systems.</td><td>- The guide must provide step-by-step instructions for integration with clear documentation. <br>- It should include troubleshooting tips and contact information for support. <br>- Updates to the guide should be made based on user feedback and technological developments.</td></tr></tbody></table>

<table border="1"> <thead> <tr> <th>Title</th> <th>User Story</th> <th>Acceptance Criteria</th> </tr> </thead> <tbody> <tr> <td>User Engagement and Personalization Enhancement</td> <td>As an enterprise client, I want AI algorithms that can generate human-like names, faces, and voices so that my digital workers can engage users more effectively.</td> <td>1. The AI algorithms should generate names, faces, and voices that are human-like and fit within cultural norms.<br>2. The generation process should produce consistent and reliable outputs.<br>3. The system must provide a variety of options for customization based on enterprise feedback.</td> </tr> <tr> <td>Seamless User Interface</td> <td>As an enterprise manager, I want a seamless user interface for configuring and managing digital personas to easily adopt the AI generator.</td> <td>1. The user interface must allow adding, editing, and deleting digital personas without technical expertise.<br>2. Changes should be reflected in real-time.<br>3. The interface should include clear guidance and help options for users.</td> </tr> <tr> <td>Feedback Mechanisms</td> <td>As a product manager, I want to implement feedback mechanisms to ensure continuous improvement of personalization features based on user interactions and engagement data.</td> <td>1. The system should prompt users for feedback after interactions with digital workers.<br>2. Feedback collection should cover clarity, realism, and engagement aspects.<br>3. An aggregated report of collected feedback should be available to administrators for analysis.</td> </tr> <tr> <td>Enterprise Integration and Differentiation</td> <td>As an enterprise client, I want clear integration guides and documentation to effectively adopt the AI generator within my systems.</td> <td>1. Integration guides must cover step-by-step implementation and troubleshooting.<br>2. Documentation should be comprehensive and accessible online.<br>3. Guides should include API references and example configurations.</td> </tr> <tr> <td>Customizable Options</td> <td>As a branding manager, I want customizable options to align digital worker identities with our brand and culture needs to ensure brand consistency.</td> <td>1. Users must be able to customize digital worker attributes such as voice tone and appearance.<br>2. Customizations should allow for alignment with brand colors and logos.<br>3. The system should save and manage different personas for various brand needs.</td> </tr> <tr> <td>Role-Based Diversity</td> <td>As an enterprise manager, I want to facilitate role-based diversity across generated digital worker profiles to meet inclusivity goals.</td> <td>2. The system must allow the creation of digital workers across various demographics to reflect the enterprise's values.<br>2. Profiles should include attributes like gender, ethnicity, and age.<br>3. Diversity statistics of personas can be generated for compliance purposes.</td> </tr> <tr> <td>Data and Security Compliance</td> <td>As a compliance officer, I want the AI system to ensure secure and compliant access to AI model training data for generating names, faces, and voices.</td> <td>1. The AI training data must be free from discriminatory practices and biases.<br>2. The system should comply with GDPR and other relevant data privacy regulations.<br>3. User data used for personalization must be protected and anonymized wherever possible.</td> </tr> <tr> <td>Security Regulations</td> <td>As a security auditor, I want the AI system to adhere to data privacy and security regulations throughout the implementation within enterprise environments.</td> <td>1. Data access logs must be maintained securely.<br>2. Regular audits should verify compliance with security regulations.<br>3. Processes for data breach notifications must be in place and practiced.</td> </tr> <tr> <td>Research and Prototype Testing</td> <td>As a developer, I want to engage in prototype testing and beta launches to refine AI features before full market release.</td> <td>1. Test phases should involve feedback collection from beta participants.<br>2. Prototype performance should meet benchmarks.<br>3. Identify and resolve any usability issues discovered during testing.</td> </tr> <tr> <td>Feedback Collection</td> <td>As a product manager, I want to collect and analyze feedback from enterprise clients and end-users to gauge personalization effectiveness and user satisfaction.</td> <td>1. Feedback mechanisms should cover user satisfaction and functionality ease-of-use.<br>2. Regular reports should summarize feedback trends and action items.<br>3. Insightful data should be leveraged to iterate on product improvements.</td> </tr> </tbody> </table>