EPC Group Launches Multi-AI Power BI Architecture Connecting Five AI Engines
EPC Group has launched a Multi-AI Power BI architecture connecting five distinct AI engines to enterprise analytics, allowing organizations to route analytical workloads to the model best suited to each task.

Key Takeaways
- EPC Group Launches Multi-AI Power BI Architecture.
- The five engines.
- What is included.
- Contact.
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EPC Group Launches Multi-AI Power BI Architecture
HOUSTON, TX -- April 24, 2026. EPC Group today launched a Multi-AI Power BI architecture that connects five distinct AI engines to enterprise analytics, allowing organizations to route analytical workloads to the model best suited to each task -- natural-language reporting, anomaly detection, text generation, structured-data summarization, or domain-specific analysis.
The five engines
- Microsoft Power BI Copilot for in-product natural-language reporting and DAX assistance
- Microsoft Azure OpenAI Service for general-purpose generation, summarization, and chain-of-thought analysis
- Microsoft Fabric Data Agents for structured-data exploration and lakehouse-native question answering
- Custom enterprise models routed via Microsoft Copilot Studio for domain-specific workflows
- External frontier models (Anthropic Claude, OpenAI GPT, xAI Grok, others) accessed via governed Azure AI gateway for evaluation and benchmarking
What is included
- Microsoft Fabric lakehouse and warehouse as the analytical substrate
- Microsoft Power BI semantic models as the governed data contract
- Azure AI Foundry as the model orchestration plane
- Microsoft Purview sensitivity labels enforced across all model calls
- Microsoft Defender for Cloud Apps and DSPM for AI monitoring
- Cost telemetry per engine, per workload, per business unit
Contact
To scope a Multi-AI Power BI engagement, call (888) 381-9725, email contact@epcgroup.net, or visit Contact EPC Group.
Errin O'Connor
Founder & Chief AI Architect
Microsoft Press bestselling author with enterprise consulting experience since 1997.
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