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Product Feature Initiative Builder

Multi Agent system

Feature Name
Multi Agent system

Where you can research any feature idea's you have and generate the appropriate product info.

Initiative Brief

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Initiative Canvas

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Objectives

Objectives

The primary objective of the Multi-Agent System initiative is to create a digital worker that will perform one or multiple use cases. The system will be assigned an entry and exit flow, and human managers and people will have access. Once these are done the system will be assigned a wrapper persona this can be existing or cast as new.

 

 

Goals

Goals

  1. Create a section in the operating system for creating new multi-agent systems

  2. Assign one or multiple use cases to the system

  3. Assign entry and exit flows to the system

  4. Assign a new or existing persona wrapper that facilitates seamless interaction between multi-agent systems and human managers.

Dependancies

Deliverables

Deliverables

  1. A user-friendly interface for connecting use cases to a persona.
  2. An interface for creating and managing AI personas.
  3. A fully functional communication agent with multi-persona capabilities.
  4. A permission management module for assigning the human manager and who has access to the system

Timeline

Timeline

Phase 1: Research and Initial Design (Dec 24)
Phase 2: Development and Integration (Jan 25)
Phase 3: Testing and Quality Assurance (Feb 25)
Phase 4: Deployment and Training (Feb 25)
Phase 5: Post-Launch Evaluation and Iteration (May - Aug 25)

Key Metrics

Key Metrics

1. User adoption rate of the multi-agent system.
2. Engagement levels are measured through interaction frequencies and durations.
3. Persona diversity and effectiveness in meeting customer needs.
4. System performance and uptime statistics.
5. Feedback from human managers and end-users on system usability and impact.

Stakeholders

Stakeholders

1. Product Management Team
2. Development and Engineering Teams
3. FSAI Administrators
4. Business Managers and Human Managers
5. Marketing and Customer Engagement Teams
6. IT and Security Teams

Research

It is really important at this point that you do additional research. 
We suggest you do Competitor Analysis and Customer interviews to ensure your feature is on target and you can begin to capture requirements.

Story Map

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User Activities

User Activities

  • Define and assign AI-driven Personas

  • Set and manage permissions for multi-agent operation

  • Monitor agent interactions and performance

  • Create and manage knowledge source integrations

  • Oversee operational efficiency and memory management

User Stories

User Stories

  • As a manager, I want to assign specific personas to agents to match customer demographics and preferences

  • As an administrator, I want to set permissions for agent interactions to ensure security and compliance

  • As a business manager, I want to monitor agent interaction metrics to understand engagement levels

  • As an IT manager, I want to integrate various knowledge sources with the system to enhance agent capability

  • As a user, I want a simple interface for creating and managing AI personas

Success Metrics

Success Metrics

  • Increase in user adoption rate of the multi-agent system

  • Reduction in management time required for overseeing agent communications by X%

  • Improvement in customer satisfaction scores post-interaction by X%

  • Reduction in task completion time by 20%

  • Expansion of user base engaging with the multi-agent system by X%

Tasks

Tasks

  • Develop a communication framework for agent persona assignment

  • Create persona management interface and tools

  • Establish permission management protocols and tools

  • Implement monitoring and reporting features for agent interactions

  • Develop API for knowledge source integration

  • Design user-friendly admin and monitoring dashboards

Value Proposition Canvas

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Customer Jobs

Customer Jobs

  • Engage diverse customer segments effectively.
  • Provide personalized interactions that resonate with individuals.
  • Increase customer satisfaction and experience.
  • Adapt communication strategies to different demographic profiles.
  • Ensure seamless and efficient communication with human managers.

Customer Pains

Pain

  • Difficulties in engaging diverse customer segments.
  • Lack of adaptability in current communication systems.
  • Ineffective interaction leading to reduced customer satisfaction.
  • High management time required for communication oversight.
  • Inability to tailor communication to individual customer preferences.

Customer Gains

Gains

  • Improved customer engagement and satisfaction.
  • Enhanced personalization of communication.
  • Increased efficiency in managing multiple personas.
  • Better alignment of communication strategies with customer demographics.
  • Optimized operational efficiency through integrated systems.

Gain Creators

Pain Relievers

  • Reducing management time with automated systems.
  • Increasing engagement and adoption through personalized communication.
  • Addressing inefficiencies with adaptable interfaces.
  • Ensuring secure and appropriate access through permissions setup.
  • Providing comprehensive training and user support materials.

Pain Relievers

Gain Creators

  • Flexible communication framework with multiple personas.
  • Seamless interaction facilitation between agents and managers.
  • Enhanced agent capabilities through system integration.
  • Robust control over communication permissions and memory management.
  • Capability to tailor interactions based on demographic data.

Products & Services

Products and Services

  • Multi Agent System with communication agent capabilities.
  • AI-driven personas with customizable traits.
  • Permission management and knowledge source integration.
  • Tools for memory management and interface personalization.
  • Documentation and training resources for users.

Requirements

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Product Initiave Goals


Multi-Agent System

Goals

Strategic Fit

The Multi-Agent System aligns with the organisation's strategic priorities by enhancing customer engagement and adoption through personalised digital workers. By leveraging AI to tailor interactions to diverse customer segments, the initiative supports objectives to increase satisfaction, improve operational efficiency, and expand the customer base. Furthermore, the solution's compatibility with existing infrastructure ensures that it complements ongoing business processes, contributing to cohesive growth and innovation strategies.

Assumptions

Customer needs to be meet

Customer Needs to be met.

Personalized Communication

As a customer, I need a communication system that adapts to my preferences and demographic characteristics, creating a personalized interaction experience that resonates with my identity and enhances my satisfaction.

Engagement with Diverse Personas

As a customer, I require the ability to engage with AI agents that embody multiple personas suitable for different target audiences, ensuring that interactions are relevant and meaningful.

Seamless Interaction Experience

As a customer, I expect an intuitive, adaptable, and intelligent interface that facilitates smooth communication, thus enhancing engagement and ensuring effective interactions.

Enhanced Customer Experience

As a customer, I desire interactions that are not only efficient but also tailored to reflect my preferences, thereby increasing my overall satisfaction with the system.

<table><thead><tr><th>Title</th><th>User Story</th><th>Acceptance Criteria</th></tr></thead><tbody><tr><td>Personalized Communication</td><td>As a customer, I need a communication system that adapts to my preferences and demographic characteristics, creating a personalized interaction experience that resonates with my identity and enhances my satisfaction.</td><td><ul><li>The system must allow users to input or select their demographic characteristics and preferences.</li><li>Interactions must be tailored based on these inputs, changing personas if necessary to match preferences.</li><li>User feedback must indicate a satisfaction rate of at least 80% in personalization tests.</li></ul></td></tr><tr><td>Engagement with Diverse Personas</td><td>As a customer, I require the ability to engage with AI agents that embody multiple personas suitable for different target audiences, ensuring that interactions are relevant and meaningful.</td><td><ul><li>The system must support multiple personas that can be toggled or switched based on context or user choice.</li><li>Persona updates must reflect relevant demographic data and preferences.</li><li>At least 90% of test interactions must be reported as relevant by users in diverse persona trials.</li></ul></td></tr><tr><td>Seamless Interaction Experience</td><td>As a customer, I expect an intuitive, adaptable, and intelligent interface that facilitates smooth communication, thus enhancing engagement and ensuring effective interactions.</td><td><ul><li>The interface must be user-friendly, with minimal navigation steps to access any feature.</li><li>Interactions should flow without noticeable delays, with response times under 1 second on average.</li><li>User experience feedback should have a positive rating of at least 85% for intuitiveness and adaptability.</li></ul></td></tr><tr><td>Enhanced Customer Experience</td><td>As a customer, I desire interactions that are not only efficient but also tailored to reflect my preferences, thereby increasing my overall satisfaction with the system.</td><td><ul><li>Interactions must be logged and analyzed to further tailor future interactions with similar preferences.</li><li>Operational efficiency must see a measurable improvement in task completion times by at least 20%.</li><li>Customer satisfaction surveys should reflect an improvement in positive ratings by at least 15% within the first six months of implementation.</li></ul></td></tr></tbody></table>
Once you have finished editing your requirements, you can begin to create Acceptance Criteria
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Business needs to be meet

Business Needs to be Met

Epic 1: Enhanced Customer Engagement

As a business, we want to allow AI agents to adopt multiple personas to resonate effectively with diverse customer segments, thereby increasing customer engagement.

As a business, we want the communication agent to seamlessly integrate with existing marketing and engagement platforms to provide personalized customer interactions.

As a business, we want to ensure the communication agent can adjust its communication strategy based on real-time customer data and interaction history.

Epic 2: Efficient Persona Management

As a business, we want to develop a user-friendly interface for the creation and management of AI-driven personas, enabling easy adaptation to changing business needs.

As a business, we want to incorporate demographic data in the persona creation process to ensure that personas effectively represent targeted customer segments.

Epic 3: Secure and Robust Permission Management

As a business, we want to establish a comprehensive permission management system that controls who can interact with the multi-agent system, ensuring secure operations and data protection.

As a business, we want to enable detailed monitoring and logging of interactions to ensure compliance with security protocols and to support audit trails.

Epic 4: Advanced Knowledge Integration

As a business, we want to integrate the multi-agent system with diverse and comprehensive knowledge sources to enhance the capability and intelligence of the communication agents.

As a business, we want to provide extensive control over the agent's memory management, allowing for tailored memory usage according to business requirements.

Epic 5: Operational Efficiency Improvement

As a business, we want to reduce the time and effort required for managing and overseeing agent communications by simplifying operational processes.

As a business, we want to maintain high system performance and uptime to ensure continuous and reliable service delivery to customers.

<table><thead><tr><th>Title</th><th>User Story</th><th>Acceptance Criteria</th></tr></thead><tbody><tr><td>Epic 1: Enhanced Customer Engagement</td><td>As a business, we want to allow AI agents to adopt multiple personas to resonate effectively with diverse customer segments, thereby increasing customer engagement.</td><td><ul><li>The system supports creation of at least three distinct personas with unique traits by release.</li><li>Personas can switch context based on customer profile within two seconds.</li><li>Customer feedback shows a 20% improvement in engagement scores post-interaction.</li></ul></td></tr><tr><td>Epic 1: Enhanced Customer Engagement</td><td>As a business, we want the communication agent to seamlessly integrate with existing marketing and engagement platforms to provide personalized customer interactions.</td><td><ul><li>The system integrates with at least two major marketing platforms (e.g., CRM systems) available at launch.</li><li>Personalized customer recommendations are generated within five seconds of data retrieval.</li><li>Integration API documentation is complete and accessible to developers.</li></ul></td></tr><tr><td>Epic 1: Enhanced Customer Engagement</td><td>As a business, we want to ensure the communication agent can adjust its communication strategy based on real-time customer data and interaction history.</td><td><ul><li>The agent dynamically adapts its strategy based on live updates with a delay not exceeding one second.</li><li>System logs confirm strategy adjustments in response to at least 80% of demo scenarios.</li><li>Case studies demonstrating real-time adaptation are available in user training materials.</li></ul></td></tr><tr><td>Epic 2: Efficient Persona Management</td><td>As a business, we want to develop a user-friendly interface for the creation and management of AI-driven personas, enabling easy adaptation to changing business needs.</td><td><ul><li>The persona management interface is accessible with no more than three navigation clicks from the dashboard.</li><li>Persona creation and adjustment features are documented in user guides.</li><li>User acceptance testing achieves a usability score of 85% or higher.</li></ul></td></tr><tr><td>Epic 2: Efficient Persona Management</td><td>As a business, we want to incorporate demographic data in the persona creation process to ensure that personas effectively represent targeted customer segments.</td><td><ul><li>Persona profiles include at least five demographic data fields by default.</li><li>User testing confirms personas align with demographic segments in 90% of reviewed cases.</li><li>Demographic data fields are customizable in settings by business administrators.</li></ul></td></tr><tr><td>Epic 3: Secure and Robust Permission Management</td><td>As a business, we want to establish a comprehensive permission management system that controls who can interact with the multi-agent system, ensuring secure operations and data protection.</td><td><ul><li>Users are authenticated through a secure login process with role-based access control.</li><li>The permission module logs all access and attempts with timestamps and user details.</li><li>Security audit finds zero critical permissions-related vulnerabilities pre-launch.</li></ul></td></tr><tr><td>Epic 3: Secure and Robust Permission Management</td><td>As a business, we want to enable detailed monitoring and logging of interactions to ensure compliance with security protocols and to support audit trails.</td><td><ul><li>All interactions are logged with a 99.9% accuracy rate as confirmed during testing.</li><li>Monitoring dashboards are available to authorized users with customization options.</li><li>System documentation includes procedures for retrieving and analyzing logs.</li></ul></td></tr><tr><td>Epic 4: Advanced Knowledge Integration</td><td>As a business, we want to integrate the multi-agent system with diverse and comprehensive knowledge sources to enhance the capability and intelligence of the communication agents.</td><td><ul><li>The system accesses knowledge bases with a latency of no more than 300 ms per request.</li><li>At least three distinct knowledge sources are connected and verified pre-launch.</li><li>Instructions for integrating additional sources are included in the setup guide.</li></ul></td></tr><tr><td>Epic 4: Advanced Knowledge Integration</td><td>As a business, we want to provide extensive control over the agent's memory management, allowing for tailored memory usage according to business requirements.</td><td><ul><li>Memory usage parameters are adjustable through the admin panel.</li><li>Changes in memory allocation prompt a system prompt or confirmation step.</li><li>Memory management changes are reversible within three steps via the interface.</li></ul></td></tr><tr><td>Epic 5: Operational Efficiency Improvement</td><td>As a business, we want to reduce the time and effort required for managing and overseeing agent communications by simplifying operational processes.</td><td><ul><li>Setup time for new agents is reduced to under 15 minutes by streamlining forms and steps.</li><li>A single dashboard provides summaries of all active agent interactions.</li><li>User feedback indicates a 30% reduction in perceived process complexity.</li></ul></td></tr><tr><td>Epic 5: Operational Efficiency Improvement</td><td>As a business, we want to maintain high system performance and uptime to ensure continuous and reliable service delivery to customers.</td><td><ul><li>System uptime exceeds 99.5% as measured over three months post-launch.</li><li>Performance monitoring alerts system administrators to any drops in service quality.</li><li>Contingency plans are in place and tested for all critical failure scenarios.</li></ul></td></tr></tbody></table>
Once you have finished editing your requirements, you can begin to create Acceptance Criteria
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Operational needs to be meet

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Operational Needs to be met

System Integration

The Multi Agent System should seamlessly integrate with existing infrastructure, ensuring smooth operation without disruption to current processes. It should be compatible with various platforms used by the organization and facilitate easy data exchange between systems.

Persona Management

The system should provide a user-friendly interface for creating, managing, and deploying multiple AI-driven personas. This includes the capability to customize personas with attributes such as name, traits, voice, and demographic alignment. Additionally, it should support easy switching between personas based on audience segmentation.

Communication Strategy Control

Comprehensive control over communication strategies should be facilitated by the system, allowing businesses to set and manage permissions for agent interactions. This includes defining entry and exit flows and setting access levels for various human users.

Memory Management

The system must offer robust memory management capabilities, with controls available for both FSAI administrators and business managers. This should cover the retention, retrieval, and modification of communication data to ensure relevance and adherence to privacy standards.

Reporting and Analytics

The system should provide real-time analytics and reporting functionalities, offering insights into user interactions, persona effectiveness, and overall system performance. This data should be accessible to human managers and stakeholders for strategic planning and decision-making.

Security and Access Management

Security measures must be integrated into the system to protect sensitive data and ensure compliance with regulatory standards. Access management protocols must be established for secure user authentication and role-based access to system features.

<table><thead><tr><th>Title</th><th>User Story</th><th>Acceptance Criteria</th></tr></thead><tbody><tr><td>System Integration</td><td>As an IT administrator, I want the Multi Agent System to integrate seamlessly with existing infrastructure so that we can ensure smooth operation without disrupting current processes.</td><td>The system successfully connects with existing infrastructure with no downtime during integration. It should be compatible with at least 90% of the platforms currently in use by the organization. Data exchange between systems must operate without errors, maintaining data integrity and accuracy.</td></tr><tr><td>Persona Management</td><td>As a business manager, I need a user-friendly interface for creating, managing, and deploying multiple AI-driven personas, allowing customization of attributes for audience segmentation and interaction.</td><td>The interface allows users to easily create and edit personas with customizable attributes, including name, traits, voice, and demographic alignment. Switching between personas based on audience segmentation must be achievable within a 2-minute setup. Users report a satisfaction level of at least 85% on ease of use in persona management tasks.</td></tr><tr><td>Communication Strategy Control</td><td>As a business operator, I want comprehensive control over communication strategies, including permissions and flows, ensuring effective interaction management.</td><td>The system provides a configurable module for setting and updating communication permissions and defining entry and exit flows. It supports different access levels for human users. At least 95% of permission changes should take effect within one minute of configuration.</td></tr><tr><td>Memory Management</td><td>As an FSAI administrator, I need robust memory management capabilities for retention, retrieval, and modification of communication data, ensuring adherence to privacy standards.</td><td>Administrators can set memory data retention periods, retrieve past communications efficiently, and modify stored data. All actions adhere to privacy guidelines and compliance standards. 100% of retrieval requests must be resolved within one hour of initiation.</td></tr><tr><td>Reporting and Analytics</td><td>As a stakeholder, I want access to real-time analytics and reporting functionalities for insights into user interactions and system performance for strategic planning.</td><td>Reports on user interactions, persona effectiveness, and performance metrics are generated in real-time and can be accessed via a dedicated dashboard. Users rate report comprehensiveness and relevance at 90% or higher in feedback surveys.</td></tr><tr><td>Security and Access Management</td><td>As an IT security officer, I must ensure the system integrates robust security measures and access management protocols to protect sensitive data and meet regulatory standards.</td><td>The system includes secure user authentication and role-based access controls. It complies with industry regulatory standards and passes all internal security audits with no major vulnerabilities identified.</td></tr></tbody></table>
Once you have finished editing your requirements, you can begin to create Acceptance Criteria
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Proposed Roadmap

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Roadmap Breakdown

Proposed Development Roadmap

Phase 1: Minimum Viable Product (MVP)

This phase will focus on essential functionalities that meet the critical needs of both customers and the business. The aim is to deliver a working product with core features that can validate the concept and provide value to early adopters.

1. Personalized Communication

Develop a basic personalized communication system that can adapt to user preferences and demographics to initiate personalized interactions. This will enhance initial customer satisfaction and engagement.

2. Engagement with Diverse Personas

Implement AI agents capable of embodying multiple personas tailored to different customer segments. This feature will facilitate meaningful interactions with varied target audiences.

3. Seamless Interaction Experience

Design an intuitive and adaptable interface that ensures smooth communication between customers and AI agents, providing a satisfying user experience.

4. Enhanced Customer Engagement

Allow AI agents to adopt multiple personas through integration with existing marketing and engagement platforms for personalized customer interactions.

5. Secure and Robust Permission Management

Focus on developing essential security features, including a basic permission management system to control client interactions with the system and ensure data privacy.

6. System Integration

Ensure the Multi-Agent System seamlessly integrates with existing organizational infrastructures, providing compatibility and facilitating smooth operation without disrupting current processes.


Phase 2: Remaining Valuable Product (VP) Requirements

This phase involves expanding the MVP with additional functionalities and features that enhance the system’s capabilities, scalability, and ease of use.

1. Efficient Persona Management

Develop a user-friendly interface for managing AI-driven personas with features for demographic data incorporation, allowing for adaptability to evolving business needs.

2. Advanced Knowledge Integration

Integrate the multi-agent system with diverse knowledge sources to enhance the intelligence of communication agents. This will include providing extensive control over the agent's memory management.

3. Operational Efficiency Improvement

Implement features to simplify operational processes, reducing time and effort for managing agent communications, while ensuring high system performance and uptime.

4. Communication Strategy Control

Provide comprehensive control over communication strategies and permissions, defining entry and exit flows, and setting access levels for human users interacting with agents.

5. Memory Management

Enhance memory management capabilities to cover retention, retrieval, and modification of communication data, ensuring compliance with privacy standards.

6. Reporting and Analytics

Introduce real-time analytics and reporting features to track and analyze user interactions, persona effectiveness, and overall system performance, aiding strategic planning and decision-making.

7. Security and Access Management

Implement advanced security measures to protect sensitive data and ensure compliance with regulatory standards, including secure user authentication and role-based access management.

Roadmap Timeline

Proposed Development Roadmap

Phase 1: Minimum Viable Product (MVP)

This phase will focus on essential functionalities that meet the critical needs of both customers and the business. The aim is to deliver a working product with core features that can validate the concept and provide value to early adopters.

1. Personalized Communication

Develop a basic personalized communication system that can adapt to user preferences and demographics to initiate personalized interactions.

2. Engagement with Diverse Personas

Implement AI agents capable of embodying multiple personas tailored to different customer segments.

3. Seamless Interaction Experience

Design an intuitive and adaptable interface that ensures smooth communication.

4. Enhanced Customer Engagement

Allow AI agents to adopt multiple personas through integration with existing platforms.

5. Secure and Robust Permission Management

Focus on developing essential security features, including a basic permission management system.

6. System Integration

Ensure the Multi-Agent System seamlessly integrates with existing organizational infrastructures.

Phase 2: Remaining Valuable Product (VP) Requirements

This phase involves expanding the MVP with additional functionalities and features that enhance the system's capabilities, scalability, and ease of use.

1. Efficient Persona Management

Develop a user-friendly interface for managing AI-driven personas with features for demographic data incorporation.

2. Advanced Knowledge Integration

Integrate the system with diverse knowledge sources to enhance communication agents' intelligence.

3. Operational Efficiency Improvement

Implement features to simplify operational processes, ensuring high performance and uptime.

4. Communication Strategy Control

Provide comprehensive control over communication strategies and permissions.

5. Memory Management

Enhance memory management capabilities, ensuring compliance with privacy standards.

6. Reporting and Analytics

Introduce real-time analytics and reporting features to analyze interactions and system performance.

7. Security and Access Management

Implement advanced security measures, including user authentication and role-based access management.