EPC Group Pioneers Multi-Model AI Architecture for Power BI

EPC Group Pioneers Multi-Model AI Architecture for Power BI

HOUSTON, TX -- March 26, 2026. EPC Group today announced a multi-model AI architecture for Microsoft Power BI that solves a difficult problem in enterprise analytics: routing analytical workloads to the right AI model with governance, cost control, and observability -- rather than forcing every prompt through a single model.

The problem with single-model AI for analytics

Most enterprises adopting AI for Power BI standardize on a single model -- usually Microsoft Power BI Copilot or Azure OpenAI. Single-model architectures are simpler to deploy but they break down at scale because natural-language reporting, anomaly detection, narrative generation, and structured-data Q&A all have different latency, accuracy, and cost profiles.

EPC Group architecture

The architecture orchestrates four model families behind a single governed analytics surface:

• Power BI Copilot for in-product natural-language reporting and DAX assistance
• Microsoft Azure OpenAI Service for general-purpose generation and summarization
• Microsoft Fabric Data Agents for lakehouse-native structured-data Q&A
• Custom enterprise models routed via Microsoft Copilot Studio for domain-specific workflows

Frontier models (Anthropic Claude, OpenAI GPT, xAI Grok, others) are accessible through a governed Azure AI gateway for evaluation and benchmarking but never as the production default.

Governance, cost, and observability

Microsoft Purview sensitivity labels enforced across all model calls. Microsoft Defender for Cloud Apps and DSPM for AI monitoring. Per-engine, per-workload, per-business-unit cost telemetry. Audit logs in Microsoft Purview Audit Premium with seven-year tamper-evident retention.

Contact

To scope a Multi-Model AI Power BI engagement, call (888) 381-9725, email contact@epcgroup.net, or visit www.epcgroup.net/contact.