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How Does Magic Happen
Intelligent Analysts has based their Transformation Copilots on the Microsoft Copilot Suite. The following diagram provides a visual representation of how Microsoft Copilot for Microsoft 365 works
The following sections highlight some of the ways Microsoft Copilot Suite facilitates the extraction and utilization of Mission, As-is, To-Be, and project planning data from various sources of business knowledge
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Our Special Magic
Semantic Layer for Enhanced Accuracy and Insights:
Intelligent Analysts have extended the Copilot’s capabilities by incorporating a unique semantic layer specifically tailored for transformation initiatives. This layer maps key concepts, relationships, and constraints within the transformation domain, ensuring that the Copilot’s responses are grounded in a deep understanding of transformation best practices and industry-specific knowledge.
Crucially, this semantic layer is integrated with Microsoft Graph, creating a powerful visual representation of the transformation landscape. This visualization allows users to:
- Confirm Content Accuracy: Quickly validate the alignment of information with established transformation frameworks and models, reducing the risk of inaccuracies or misleading suggestions.
- Identify Gaps: Easily pinpoint areas where knowledge or data may be lacking, guiding focused efforts to capture missing information and create a comprehensive transformation knowledge base.
- Minimize Hallucinations: By anchoring Copilot’s responses to a structured semantic layer, the likelihood of LLM-generated “hallucinations”—inaccurate or nonsensical output—is significantly reduced, ensuring the reliability and trustworthiness of the insights provided.
Result
This combination of semantic understanding and graph-based visualization makes Intelligent Analysts Transformation Copilot an exceptional tool for organizing and navigating the complexities of transformation with confidence and clarity.
Key Features and Capabilities
Unified Access to Data
Documents
Emails and Chats
Project Plans
Calendars and Tasks
Contextual Understanding
Copilot's AI capabilities enable it to interpret and extract relevant information from these sources, even within unstructured text.
Semantic Search
Intelligent Suggestions
Cross-App Collaboration
Specific Examples:
- Gathering Mission Data: Effortlessly extract mission statements, values, and strategic goals from various documents, presentations, and emails.
- Assess Current State (As-Is): Consolidate information about current processes, systems, and performance metrics from project plans, status reports, and email discussions.
- Define Future State (To-Be): Access and synthesize documentation outlining desired outcomes, target metrics, and future process flows.
- Project Planning: Retrieve and integrate project timelines, task assignments, resource requirements, and budget information from project management tools and documents.
Streamlined Data Gathering
Improved Data Quality
