EPC Group, a prominent artificial intelligence and business intelligence consulting firm, has announced the expansion of its enterprise AI architecture for Microsoft Power BI. This new framework extends the capabilities of Microsoft Copilot by adding five additional layers of AI intelligence. The solution is designed to help organizations operationalize predictive modeling and advanced analytics across Microsoft Fabric and Power BI environments.
By integrating Copilot with Azure OpenAI, Claude, Perplexity, and open-source frameworks like Meta Llama and Mistral, the architecture shifts Power BI from a traditional reporting tool to an intelligent decision engine. This transformation enables retrieval-augmented generation (RAG), agentic AI workflows, and automated narrative explanations tailored for executive-level decision-making.
Multi-Model Integration: Combines Microsoft Copilot with LLMs including OpenAI, Claude, Perplexity, and Mistral.
Six-Layer Framework: Establishes a structured approach to standardize AI capabilities while maintaining enterprise-grade security.
Automated Machine Learning: Features AutoML within Fabric Dataflows for churn prediction and revenue forecasting.
Agentic AI Workflows: Enables AI models to autonomously retrieve and reason over enterprise data to surface proactive insights.
Cognitive Service Enrichment: Integrates text analytics and sentiment analysis to process unstructured data like support tickets.
Decision Intelligence focus: Moves organizations from reactive historical reporting to proactive, AI-generated predictive forecasting.
The EPC Group architecture introduces a specific six-layer model to govern and scale AI within Power BI. The first layer utilizes Microsoft Copilot for natural language queries and rapid report creation. The second layer standardizes native AI visuals, such as Key Influencers and Decomposition Trees, through a governed pattern library to ensure explainable AI across dashboards.
The third layer embeds automated machine learning (AutoML) directly into dataflows, allowing business units to build predictive models without requiring dedicated data science teams. This is followed by the fourth layer, which manages LLM and Agentic AI integration via secure APIs and vector search, enabling contextual data exploration across vast enterprise knowledge bases.
The fifth layer of the architecture focuses on Microsoft Cognitive Services, providing tools for entity extraction and document intelligence. This allows leadership teams to quantify qualitative data, such as customer sentiment, within their standard business metrics.
Finally, the sixth layer introduces automated insights and forecasting. By utilizing built-in algorithms and anomaly detection, executive dashboards can now provide automated alerts and explain the underlying drivers behind emerging trends. This comprehensive approach ensures that the Power BI environment serves as a continuous monitoring system for business risk and opportunity.
"At most organizations, Copilot is only the starting point," said Errin O'Connor, Founder and Chief AI Architect of EPC Group. "Over the past two years, I have personally led the development of this multi-layer AI architecture to expand Power BI beyond Copilot into a complete enterprise decision intelligence platform. By integrating Microsoft Fabric, Azure OpenAI, and leading large language model platforms such as OpenAI, Claude, Perplexity, and open-source AI, organizations can unlock conversational access to governed data while enabling predictive and agentic intelligence across their analytics environments."
EPC Group delivers this architecture through specialized consulting services, leveraging a history of over 1,500 Power BI implementations. The firm combines technical depth in Microsoft 365 and Azure with modern AI strategy to help organizations deploy secure and scalable analytics platforms.
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