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Copilot vs Glean

Microsoft 365 Copilot vs Glean: the enterprise search question for AU buyers

Glean is a strong enterprise search product. Microsoft 365 Copilot is an AI productivity assistant with search as one component. Australian buyers evaluating both should understand where the use cases align and where they diverge before committing to either.

Daniel Brown · 2 May 2026 · 8 min read

Glean appears regularly in Australian enterprise AI shortlists, often positioned as a knowledge-work AI or enterprise search alternative to Microsoft 365 Copilot. The comparison is worth taking seriously because Glean is a well-built product with a genuine use case. It is also worth being precise about, because the two products solve meaningfully different problems and the choice to deploy both, one or neither carries different implications depending on the organisation's existing productivity stack.

What Glean is built to do

Glean is an enterprise search and knowledge platform. Its primary capability is indexing content across the organisation's SaaS applications, Confluence, Jira, Salesforce, Slack, Google Drive, SharePoint, ServiceNow, Zendesk and a long catalogue of connectors, and making that content searchable through a single natural-language interface. The AI layer on top of that index allows staff to ask questions and receive synthesised answers drawn from the connected sources, with citations.

Glean's model is indexer-first. The product builds and maintains its own search index across connected applications and queries that index rather than querying the source applications at runtime. That architecture makes cross-application search fast and coherent, which is its core strength. It also means Glean's intelligence is only as current as its most recent index run, and its understanding of permissions is dependent on how accurately each connector maps the source application's access control model into Glean's own permission layer.

What Microsoft 365 Copilot is built to do

Microsoft 365 Copilot is a productivity AI assistant embedded in the Microsoft 365 application suite. Its intelligence is grounded on the Microsoft Graph, which means it queries Outlook, Teams, SharePoint, OneDrive, Excel, Word and the rest of the M365 applications at runtime using the signed-in user's actual Entra ID permissions. It does not build a separate index. Copilot surfaces only what the requesting user is entitled to see, at the moment they ask, governed by the same permissions that govern access to the underlying files and messages.

Copilot's surface is the Microsoft 365 application suite. Users get AI assistance inside Word, Excel, PowerPoint, Outlook, Teams, OneNote, SharePoint and the M365 Copilot Chat experience. The intelligence is woven into the productivity workflows rather than presented as a separate search destination.

Where the use cases diverge

The practical difference for an Australian enterprise is this: Glean is useful when the critical knowledge is spread across applications outside the Microsoft 365 estate. An engineering-heavy organisation running most of its operational knowledge in Confluence, Jira, GitHub and Slack gets meaningful value from Glean's cross-application index that Copilot cannot match natively, because Copilot's graph grounding does not extend into Atlassian or GitHub by default.

Microsoft 365 Copilot is useful when the critical knowledge lives in the Microsoft 365 estate. An Australian professional services or corporate organisation whose operational knowledge is in SharePoint, Outlook, Teams and OneDrive gets the depth of graph grounding, permission inheritance and in-application productivity assistance from Copilot that Glean's search interface cannot replicate. The distinction between AI-embedded-in-the-workflow and AI-as-a-separate-search-destination matters for adoption as much as it matters for functionality.

  • Primarily M365 estate: Microsoft 365 Copilot is the right default. Copilot's graph grounding, permission model and in-application experience is purpose-built for this environment. Glean adds limited incremental value over the native Copilot search and retrieval surface.
  • Primarily non-M365 estate (Atlassian, Slack, Salesforce, GitHub): Glean's cross-application index addresses a gap Copilot does not fill natively. The comparison is real and Glean warrants serious evaluation.
  • Hybrid estate: the majority of Australian mid-market and enterprise organisations Frontrow works with have M365 as the corporate productivity layer and Atlassian or Salesforce in specific functions. That pattern usually supports a narrow Glean deployment for the technical teams plus M365 Copilot for the broader organisation, rather than Glean for everyone.

Governance and data residency for Australian organisations

Glean is a US-headquartered vendor. Its Australian data residency position as of May 2026 is less mature than Microsoft's. Australian tenants under APRA-regulated frameworks, sensitive government contracts or organisations handling data subject to the Privacy Act 1988 need to confirm Glean's current data residency commitments and audit logging capabilities against their organisation's data-handling obligations. That is a due-diligence step, not a disqualification, but it requires active confirmation rather than assumption.

Microsoft 365 Copilot's data residency in the Australian region is well-documented, contractually committed and aligns with the audit, DLP and sensitivity-label controls already running in the tenant's Microsoft Purview deployment. For most Australian regulated organisations, the governance story for M365 Copilot requires less new due diligence because the foundation is already in place.

The procurement and integration reality

Glean is a separate vendor relationship, separate commercial agreement, separate security review and separate data-processing agreement. For Australian organisations already holding a full security review pack on Microsoft, the incremental procurement effort for Glean is real. The Glean platform also requires ongoing connector maintenance as the source applications' APIs and permission models evolve, which is an operational cost that falls on the internal IT function or the managed service provider.

Microsoft 365 Copilot adds to the existing Microsoft commercial agreement in AUD on the existing renewal cycle. The security review, data-processing agreement and legal terms extend from the master agreement already signed. Where the M365 estate is the organisation's primary knowledge store, that procurement simplicity has real value at the IT manager and CFO level.

Frontrow's read for Australian enterprise buyers

Frontrow's position for Australian mid-market and enterprise buyers evaluating Glean against Microsoft 365 Copilot is direct. If the organisation's primary knowledge estate is Microsoft 365, run the Copilot readiness assessment, address the SharePoint hygiene and identity posture, and deploy Copilot before committing to a second search layer. Most of what Glean is being evaluated for is addressable with well-deployed Copilot inside a clean M365 tenant.

If there is a significant knowledge corpus in non-Microsoft applications, particularly technical teams on Atlassian and Slack, a limited Glean deployment for those teams is worth evaluating in parallel, not instead of Copilot. The two are complementary rather than competing for most hybrid estates. The decision to commit to Glean at enterprise scale should follow a clear-eyed audit of where the knowledge actually lives, not a reaction to a vendor shortlist that arrived before the estate was mapped.

Try it

Run the AI readiness check before adding a second search layer

The readiness assessment covers identity, SharePoint hygiene and data classification, the three areas that determine how much Copilot can deliver before a second knowledge platform is warranted.

Score each dimension, 1 – 5

How ready is your organisation for AI — really?

Five dimensions. Pick the statement closest to the truth for your business today. No wrong answers.

  • Data readiness

    Is your data in a shape AI can actually reason over?

  • Governance & security

    Identity, permissions, DLP, audit — the safety rails for AI.

  • Workflow integration

    Where will AI actually get used in the business?

  • Adoption capability

    Will your team actually use it when it arrives?

  • Capacity to invest

    Can you actually fund and run an AI program right now?

Want us to run this with your team?

30 minutes. No deck. We'll walk through your tenant, your priorities, and the next sensible move.