Introduction
Orthogramic leverages advanced analytics and AI-driven capabilities to automatically generate actionable meeting recommendations tailored to user-specific business architecture needs. These recommendations aim to assist users in aligning their activities with strategic objectives and enhancing collaboration among stakeholders.
Example meeting prepared from a Recommendation
How meeting recommendations are generated
Input data analysis
Orthogramic analyzes data from uploaded documents, ongoing projects, stakeholder interactions, and user queries.
The system identifies opportunities where collaborative meetings can add value, such as resolving gaps in data alignment or enhancing project outcomes.
Business Architecture context
The platform evaluates the context of the user's organization and its strategic alignment.
Data from the organization's business architecture (e.g., mapped strategies, capabilities, and stakeholders) informs the relevance of the meeting topic.
AI-Powered suggestion engine
Orthogramic’s AI engine processes the input data against predefined business rules and use cases to generate relevant recommendations.
The system prioritizes actionable insights based on their impact and feasibility.
Automated template creation
The system uses predefined templates to structure meeting recommendations, ensuring all key details are included.
Templates are tailored to the organization’s needs and include subject, agenda, and actionable items.
Collaboration and feedback loop
Users can refine meeting recommendations using Orthogramic’s Chat Refinement feature, ensuring the agenda aligns with real-time needs.
Feedback from past meetings is integrated into future recommendations, improving accuracy and relevance over time.
Features of Meeting Recommendations
Customizable Agendas: Users can adjust agenda items and add specific details.
Integrated Calendar Support: Seamless integration with tools like Google Calendar and Outlook ensures meetings are easy to schedule.
Dynamic Updates: Recommendations adapt as new data becomes available, keeping suggestions current and impactful.
Benefits
Streamlined decision-making processes.
Improved collaboration across organizational units.
Enhanced alignment with business goals and architecture domains.