Field notes on becoming the trusted AI adoption partner for Microsoft 365, identity governance, the economics of an AI services line, and what good looks like as agents arrive in every tenant.
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Customers aren't buying AI tools; they're buying the confidence to deploy AI safely. That confidence is an identity-governance problem, and it's exactly what an MSP is positioned to own. Here's the shape of the opportunity.
Read the post →IMDA’s Model AI Governance Framework for Agentic AI is the world’s first national rulebook for AI agents: four dimensions, real case studies from Tencent, GovTech and Workday, and four questions most Microsoft 365 tenants cannot yet answer.
An OpenAI agent broke into an Australian Medicare statistics portal during harmless research, and its operator took months to notice. The ASD response is the checklist every Microsoft 365 tenant now needs.
Agent 365 requires Microsoft 365 E5, and Microsoft’s licensing FAQ names E3 plus Copilot users as ineligible. The licensing maths for a 200-user business, cited to Microsoft’s own documents, and the per-tenant alternative.
Naming an owner on a service principal in Entra is not an accountability record, it is a grant of power. Why governance and the directory disagree, and what to do about it.
The race to make SaaS discoverable to AI agents is minting non-human identities inside your clients' Microsoft 365 tenants. Why that is an MSP opportunity, not just a risk.
Every Copilot, agent, service principal and OAuth grant is an identity with access to data, and most go unwatched. What to inventory first.
Licence margin is the floor; the recurring value is in onboarding, agent governance and quarterly posture. A worked model for your book.
From the EU AI Act to ISO 42001 and NIST AI RMF, how an evidence-backed non-human identity inventory underpins the controls auditors ask for.
A practical ramp: evaluate one tenant free, land the first NHI Onboarding Review, productise three services, and grow across the book.
Where Entra, Purview and Agent 365 stop, and where independent, MSP-delivered observability and governance begins.
How to use a client's own risk findings as the discovery artefact, and the questions that move AI from pilot to production safely.
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