Federated Approach to Enterprise AI

The enterprise AI landscape is undergoing a significant shift, moving beyond the hype of single-vendor solutions toward more federated and layered architectures. This evolution reflects practical constraints around data governance, compliance, and real-world operational needs.

Layered Foundation

Enterprise AI will likely consist of three core layers:

  1. Sovereign agents at the base: These are platform-native AI capabilities embedded in systems like SAP, Salesforce, Workday, and ServiceNow - where most governed data already resides. For example, SAP’s Joule AI copilot understands business context and can answer complex questions without moving sensitive data.
  2. Curated data in the middle: A modern data lake (like Microsoft Fabric or Databricks) fed by governed pipelines from those base systems. This creates a unified view of enterprise data while maintaining access controls and semantic enrichment.
  3. Orchestrated intelligence at the top: AI-powered analytics platforms that can query across these federated systems, synthesizing insights from multiple sources - all within defined security perimeters.

Addressing Specific Needs

Beyond these core layers, organizations will require:

  • Private AI instances: For industry-specific tools and internal knowledge repositories not covered by major vendors. These can be self-hosted models like Llama or Mistral fine-tuned on company data.
  • Data quality investment: Recognizing that the entire architecture’s value depends on the integrity of the data flowing into it.

Governance Considerations

Enterprises should prioritize:

  • Human oversight at multiple levels: With human-on-the-loop for routine actions, human-in-the-loop for critical decisions, and human-over-the-loop for policy definitions.
  • Data sovereignty: Particularly in regulated industries where maintaining control over data processing is essential.

This layered approach acknowledges that enterprise AI isn’t about replacing existing systems but rather augmenting them with intelligent capabilities while upholding governance principles.