External Reporting Your Compliance Team Can Sign Off On

Regulated enterprises distribute intelligence to thousands of external stakeholders. Reporting Hub adds the governance layer that makes that delivery consistent, auditable, and safe for AI — inside your own Azure environment.

The problem

Sound familiar?

“Legal blocked external AI until governance exists”

The blocker isn’t AI — it’s the missing approval workflows, explainability, and audit trails. That is infrastructure, and it can be evaluated.

“We can’t prove what was delivered if something goes wrong”

When a regulator or customer disputes a number — or an AI answer — you need a system of record, not an email archive.

“Different stakeholders see different versions”

Version drift across audiences erodes trust and creates compliance exposure. Consistency has to be enforced by architecture, not by policy.

“Our data cannot leave our environment”

Third-party SaaS hosting is a non-starter. Analytics and AI inference both need to stay inside the tenant boundary.

The solution

Built for the security review

Deployed inside your own Azure tenancy, with the audit trail and access control your reviewers will ask for.

Azure-Native, No Data Egress

Reporting Hub deploys inside your Azure tenant — BI Genius AI inference included. Nothing crosses the boundary. See the full security & trust architecture.

The Compliance Unlock for External AI

Approval workflows gate publication. Every AI answer carries source attribution, a decision path, and DAX visibility — evidence your legal team can evaluate.

Compliance-Grade Audit Trails

What was delivered, to whom, when, at which version — for analytics and AI alike. Enterprise+ adds compliance-grade AI audit logging.

Enterprise Identity, Enforced Access

Microsoft Entra ID, Okta, and Auth0 SSO, with role-based access and Power BI row-level security scoping every stakeholder group.

Questions

Enterprise Governance FAQs

Can we prove what a customer or regulator was shown on a specific date?
Yes. Version governance plus audit logging create a defensible record of which intelligence — visual and AI-generated — was delivered to which audience and when.
Does AI inference leave our Azure tenant?
No. BI Genius runs inside your Azure environment against your existing Power BI semantic models. There is no external AI model hosting and no inference data leaving your perimeter.
What will our compliance team want to review before approving?
Typically four things: approval workflows, explainability, audit trails, and infrastructure control. The security & trust page maps each one to the mechanism that provides it — a useful starting checklist for the review.
Where does Reporting Hub sit relative to Fabric and Copilot?
Complementary, not competing. Fabric and Copilot serve internal analytics; Reporting Hub is the external delivery and governance infrastructure Microsoft doesn’t natively provide. Read the full comparison.
Bring your security team.
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