EPC Group Pioneers Multi-Model AI Architecture for Power BI, Solving What Was Called an Unsolvable Problem
EPC Group reveals expanded six-layer AI architecture driving 70% faster user adoption rates, 50-70% licensing cost reductions, and a new approach to making enterprise data AI-ready across Microsoft Fabric and Power BI.
EPC Group revealed expanded capabilities of its six-layer AI architecture driving 70% faster user adoption rates, significant licensing cost reductions, and a new approach to making enterprise data AI-ready across Microsoft Fabric and Power BI environments. "Everyone bought Copilot licenses expecting magic. They got a starting point. We built the five layers that turn Power BI from a reporting tool into an enterprise decision intelligence platform," said Errin O'Connor, Founder & Chief AI Architect. The architecture integrates Copilot for Power BI with Azure OpenAI, Claude, Perplexity, automated machine learning, Microsoft Cognitive Services, and open-source AI frameworks including Meta Llama and Mistral.
Key Highlights:
- ✓Six-layer AI architecture extending beyond Microsoft Copilot
- ✓70% faster user adoption rates with multi-model AI
- ✓50-70% reduction in Power BI licensing spend for large viewer populations
- ✓480% spike in industry mentions following initial announcement
- ✓Perfect G2 Spring 2026 Net Promoter Score: 100
- ✓Integrates Azure OpenAI, Claude, Perplexity, Meta Llama, and Mistral