Most organisations aren't ready to turn on Microsoft 365 Copilot. We identify what's blocking a safe rollout and resolve it before AI starts surfacing the gaps.
In environments where access controls have sprawled, data is unclassified and OneDrive accounts are orphaned, the productivity gains quickly give way to governance exposure. Those conditions aren't edge cases; they're the natural state of a Microsoft 365 tenant that's run for years without review. It's why we see the same pattern across Australian mid-market and enterprise environments: most fail every Copilot readiness gate on day one. Closing those gaps, across access, classification, retention and identity, is what turns Copilot from a liability into the productivity tool it was meant to be.
Copilot is where most organisations begin. The same governance work that makes it safe is what carries you through to connected and agentic AI, so the foundation is built once and reused at every stage.
Copilot for everyday work. Summarise, draft and search across what your people already touch.
AI joined to external tools and data beyond the tenant.
Autonomous agents and workflows that act alone.
Recurring conditions we surface in long-running Microsoft 365 tenants, before Copilot ever sees them.
Powered by Cyera DSPM for independent discovery, with Microsoft Purview for labelling and enforcement, and sequenced around your business goals. Six stages, each producing something specific you can act on.
Agentless, AI-classified discovery across SharePoint, OneDrive and beyond Microsoft, surfacing where data lives, what's sensitive, and where residency obligations are breached.
A quantified inventory of every site and drive, with ownership, exposure and orphaned content mapped, so Copilot scope is decided on evidence rather than assumption.
Seven-gate evaluation against access, classification, retention and identity controls, with a clear remediation path per gate.
Target architecture for SharePoint hubs and sites, folder taxonomy, Entra ID groups and data ownership, shaped around how your business operates.
30 / 60 / 90 / 180 / 365 day phases, ranked by risk and Copilot impact, and sized so your team can carry the work alongside everything else.
Data Owner model, access review cadence and joiner/mover/leaver lifecycle scenarios, designed to run inside your business after we step back.
Purview is excellent at labelling and enforcement inside Microsoft 365. Cyera is the independent discovery engine that finds and ranks the risk first, including everything outside Microsoft's reach.
Cyera is the independent discovery and classification layer; Purview turns those findings into labels, DLP and retention. Run together, they form a closed loop, from discovery to assurance, that neither delivers alone.
Agentless, AI-driven. Finds and ranks sensitive data everywhere it lives.
Applies sensitivity labels, DLP and retention to what Cyera surfaces.
Answers only from governed data, with risk found and fixed first.
"We don't push tools, we provide perspective. Then we hand you a plan you can actually run."
Shaun brings more than two decades across IT, cybersecurity and enterprise architecture, the kind of large-scale experience rarely found in mid-market consulting. He has designed and delivered security strategies for government, defence and billion-dollar enterprises, and led global IT and security operations for a MedTech business through a period of significant scale.
His strength is translating complex security requirements into clear, scalable solutions that fit real business constraints. On the AI Readiness Program he leads the strategy and solution design himself, so the plan you receive is shaped by the person who built it.
SharePoint, OneDrive and Teams content Copilot can reach.
Discovers and AI-classifies sensitive data, everywhere it lives.
Labels, protects and enforces on what Cyera surfaces.
Answers only from data a user is governed to see.