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A meeting rarely ends when the call does. Someone still has to turn what was discussed into something useful: a recap, the decisions that were made, the actions people need to take and the follow-up that keeps things moving. That makes meetings a practical place to test Copilot. Give 25 people 30 days with Microsoft 365 Copilot Business and let them use it in the meetings, inboxes, documents and projects already filling their week. Then see which uses they come back to.

Copilot becomes most useful when it becomes part of the work your team already does. Emails to catch up on. Documents to draft. Customer requests to respond to. Information to find. Meetings to prepare for. Give your team 30 days for free with Microsoft 365 Copilot Business and see where it can make everyday work easier, and which uses your people keep coming back to.

Most organizations believe they have a good overview of what is exposed to the internet. Then an assessment uncovers a forgotten domain, an unmanaged service or a system that never made it into the asset inventory. These situations rarely happen because someone made a mistake. They happen because projects evolve, teams change and technology accumulates over time. The challenge is rarely the assets you know about. It's the ones nobody has looked at in years. External Attack Surface Management helps uncover hidden exposures and provides a clearer picture of what attackers can already see.

Your team knows the critical systems. The difficult questions usually start somewhere else. Projects end. Teams change. Vendors come and go. Yet internet-facing assets often remain. Over time, the gap between what organizations think is exposed and what is actually visible can quietly grow. From an attacker's perspective, those gaps matter. External Attack Surface Management helps uncover unknown assets, hidden exposures and potential risks that often stay outside day-to-day visibility until someone actively looks for them.

A lot of companies still think AI adoption is happening through carefully managed initiatives. In reality, it usually spreads team by team, workflow by workflow, often much faster than leadership realizes. One department starts using Copilot for reporting. Another experiments with AI research tools. Someone else connects AI into an existing workflow without involving IT. Then the difficult questions begin. Who has visibility? Which tools already have access to internal data? And how much of this is actually governed consistently across the business?

Most companies expected AI adoption to happen through structured rollouts, internal approvals, and clearly defined use cases. What actually happened looks very different. Teams started introducing AI into reporting, research, meetings, content creation, and everyday workflows much faster than most internal structures were prepared for. In many organizations, IT and security teams are now trying to understand which tools are already connected internally, where data is moving, and how much of it is still properly overseen. Microsoft 365 E7 was built for exactly this phase.