M365 permissions are just the starting point. When AI agents connect to Xero, Salesforce, and HubSpot, you need a governance framework that follows them. This white paper shows you how.
Practical framework with tool-level implementation guidance
From the M365 ceiling to a 12-point governance checklist
Human-in-the-loop approval for high-risk AI agent actions
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Every business deploying AI in 2026 is talking about Microsoft 365 permissions. SharePoint oversharing. Copilot governance. That conversation matters — but it is only half the story.
The real productivity gains from AI come from agents that work across your entire technology stack: pulling invoices from Xero, checking pipeline in Salesforce, updating projects in Monday.com, and sending follow-ups through Outlook — in a single workflow. The moment those agents leave the M365 boundary, your governance model does not follow.
This white paper explains the gap, the risks, and the framework we built to close it. It is written for business owners, IT leaders, and anyone responsible for how AI is governed in their organisation.

14 pages of practical guidance — not theory, not vendor marketing. A governance framework you can implement.
Where Copilot governance stops and why most businesses are only governing half their AI exposure. Includes a breakdown of which business functions sit inside M365 and which do not.
Real scenarios showing AI agents working across Xero, Salesforce, SharePoint, and Outlook — and the governance challenges each one creates.
Overly broad API permissions, unmanaged agent identities, no unified audit trail, permission creep, no human review for high-risk actions, and unclear accountability.
Enforcement and access control, three-layer permission governance (platform, agent, task), automated tool risk classification, cross-platform audit and monitoring, and deployment gates.
How AI agents pause and request human approval before executing high-risk actions. The mechanism that makes cross-platform agents deployable in businesses that handle sensitive data.
How ThreatLocker, Defender for Cloud Apps, Purview, DefensX, and ISO 42001 map to the governance framework — including what each tool covers and where the gaps are.
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This white paper describes the framework. We build it for our clients. If you are a Perth business ready to get AI governance in place — across Microsoft 365 and every other system your business relies on — we can help.
Every engagement starts with AI Governance as the foundation. From there, we build Managed AI workflows that connect your business systems, or deliver Custom AI Development for bespoke solutions that go beyond the standard library.
Start with a free AI Readiness Assessment to understand your current AI exposure, or read our blog post on why M365 governance alone is not enough for more context on the cross-platform challenge.
Contact us on 1300 EPIC IT to talk about where AI fits in your business.

Business owners, IT leaders, CFOs, and anyone responsible for how AI is governed in their organisation. It is written in plain language for decision-makers, not engineers — though the tool-level implementation section has enough technical depth for IT teams to act on.
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Cross-platform AI governance is the practice of managing how AI agents access, combine, and act on data across multiple business systems — not just Microsoft 365. It covers agent identity management, scoped permissions per system, unified audit trails, human-in-the-loop approval for high-risk actions, and deployment gates for any AI workflow that spans more than one platform.
The framework is applicable to any Australian business deploying AI agents across multiple platforms. The tool-level implementation section references the specific tools we use (ThreatLocker, Defender for Cloud Apps, Purview, DefensX, ISO 42001), but the governance principles apply regardless of which tools you deploy.
This white paper describes the governance framework that underpins all of our AI services. Every client engagement starts with AI Governance as the foundation, then builds toward Managed AI or Custom AI Development depending on your needs.