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Introduction
Orthogramic’s Chat feature provides users with a powerful, intuitive interface to interact with the system and gain insights based on the organization's business architecture. This feature is designed to help users query the system in real-time, enabling faster decision-making and access to critical data without needing to navigate through the platform manuallychat functionality is an integral part of Orthogramic Insights, providing context-aware business architecture guidance. The chat dynamically references and interprets data from the business architecture mindmap and detailed metadata, ensuring responses are tailored to the organization’s specific business architecture model.
With Orthogramic Insights, chat enables users to:
Ask business architecture-related questions and receive structured responses based on real-time organizational data.
Explore relationships between capabilities, stakeholders, policies, and initiatives without leaving the chat.
Access insights that evolve as business documentation and architecture models are updated.
A key aspect of Chat is its ability to streamline interactions by guiding users toward refining their queries, as explained in the Chat refinement section. This feature ensures that users not only receive precise answers but also have the opportunity to enhance the quality and relevance of responses by utilizing refinement prompts during the conversation.
For practical examples of how users can leverage Chat for various business architecture needs, see the detailed scenarios in the Chat example section, where specific use cases demonstrate the value of querying the system for architectural insights, recommendations, and process guidance.
The Chat functionality is designed to be adaptive, learning from user behavior and previous interactions to improve the relevance of future suggestions and data retrievals. By combining real-time query capabilities with interactive refinements, users can effectively navigate the complexities of business architecture while being supported with contextual prompts and examples.
Using chat
Examples of chat use
Here are some examples of the use of Orthogramic chat:
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Managing change initiatives using insights: Users can ask questions about managing change initiatives effectively using insights provided by Orthogramic.
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Identifying key metrics for change implementation progress: Users can inquire about the important metrics to track and measure the progress of change implementation.
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Identifying risks in risk management policies: Users can seek information on the risks identified within their Organization's risk management policies.
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Contextual responses
Unlike other chatbots, Orthogramic Insights provides a contextual chat experience, meaning:
Chat understands the selected business architecture element from the mindmap and retrieves relevant details.
Users can drill down into specific aspects of the business architecture by asking follow-up questions.
Responses are based on real-time business architecture data, including capabilities, value streams, policies, and strategic objectives.
For example, if a user selects a capability in the mindmap and asks:
"What are the dependencies of this capability?" → The chat will return linked capabilities, initiatives, and supporting technologies.
"Which stakeholders influence this initiative?" → The chat will extract stakeholder relationships from the business architecture model.
"What risks are associated with this policy?" → The chat will provide documented risks and compliance considerations.
Integrated insights
Because chat is embedded within Orthogramic Insights, users benefit from:
Seamless interaction with business architecture data while exploring the mindmap and capability details.
Context-preserving conversations that adapt to the selected element in the mindmap.
Consistent, structured responses aligned with business architecture frameworks.
This enhancement ensures that chat serves as a real-time knowledge assistant, guiding users through organizational strategy, architecture, and compliance without requiring manual cross-referencing.
User type assistance
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This feature is available as part of the Orthogramic Essentials plan and above. |
Chat will tailor responses based on your Orthogramic user type. For example, a Chief Operating Officer (COO) will be assisted to focus on operational alignment, efficiency, and strategic execution. In their case, Orthogramic will offer clear insights on how business architecture improvements can streamline operations and enhance cross-functional coordination. See: https://orthogramic.atlassian.net/wiki/spaces/OUG/pages/224362671/User+types+details?atlOrigin=eyJpIjoiMzY0YmJmOTlkN2ZmNGI5MDg3YTBkYWU2OGZiZWY3NjYiLCJwIjoiYyJ9
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Chat refinement
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This feature is available as part of the Orthogramic Essentials plan and above. |
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Optionallychoose one or more business architecture domains that your query relates to and get domain-specific insights.
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For more details, see: Chat refinement
Chat outputs
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This feature is available as part of the Orthogramic Essentials plan and above. |
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Context Retention: May have limitations in retaining the context of long or intricate conversations, leading to potential misunderstandings or incomplete responses.
Errors
While the chat in Orthogramic Insights provides contextual responses based on business architecture data, occasional errors may occur due to data inconsistencies, incomplete documentation, or ambiguous queries. Understanding the types of errors and how to resolve them ensures users get the most accurate and relevant insights from the system. This section outlines common error types, their causes, and best practices for improving chat interactions.
Out-of-scope queries: No response will be made to questions outside the general subject of business architecture or the approved documents added by users.
Data unavailability: Errors may occur if the requested data is not available within the system or has not been uploaded.
Incorrect information: Occasionally, the chat may generate incorrect or outdated information, requiring users to verify critical details independently.
Complex query handling: The chat may struggle to understand and respond to highly complex or nuanced queries that require deep contextual understanding.
Response delays: During high-demand periods, users might experience delays in response time, affecting the immediacy of assistance.
Context retention: The chat may have limitations in retaining the context of long or intricate conversations, leading to potential misunderstandings or incomplete responses.
Formatting issues: The chat may sometimes provide outputs with formatting errors, making the information harder to read or interpret.
Language and terminology misunderstanding: If users use uncommon terminology or non-standard language, the chat might misinterpret the query or provide irrelevant answers.
System errors: Technical issues such as server downtime, software bugs, or connectivity problems can prevent the chat from functioning properly.
Security restrictions: Queries involving sensitive or restricted information may not be processed due to security and privacy policies in place.
Unsupported file types: Errors may occur if users attempt to upload or reference unsupported file types that the system cannot process.
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