A practical starting point is to give everyone a simple, secure way to try AI in their day-to-day work. Microsoft 365 Copilot Chat is designed as that front door. Because it’s included as a free chat experience for Microsoft 365 commercial customers, every employee—from customer service and marketing to frontline technicians—can start using it without a complex rollout. They can: - Research topics and gather information - Summarize long reports, emails, or meeting notes - Brainstorm ideas and draft content From there, you can introduce Microsoft 365 Copilot as the primary “UI for AI” inside the apps people already use (Outlook, Teams, Word, Excel, PowerPoint, etc.). Copilot combines the latest GPT models with your work data—meetings, emails, chats, and documents—to help: - Transform productivity and streamline workflows - Automate routine business processes - Measure impact while supporting compliance, security, privacy, and governance The key is to treat AI as part of everyday workflows, not a separate tool. Start with simple use cases, encourage experimentation, and build from there so AI becomes a natural part of how people work.

Responsible AI use requires both technology controls and clear guidance for employees. On the technology side, Copilot and Copilot Chat include: - Enterprise-grade data protection - IT controls and governance features - Built-in capabilities to help support compliance, protect sensitive data, and enforce security and privacy policies On the organizational side, IT and security leaders should: - Set clear guidelines on which AI tools are approved and which are not, to reduce the risk of employees turning to unauthorized tools - Define acceptable use policies for AI-generated content and data access - Involve security and compliance teams to oversee AI governance and risk management You can also use AI-powered analytics to monitor adoption and outcomes. With Copilot Analytics, business and IT leaders can tailor prebuilt reports with their own data or create custom reports. This helps track usage, understand where AI is adding value, and adjust policies or training where needed. By combining governance controls with clear communication and training, you create an environment where employees can confidently use AI while the organization maintains control over security and compliance.

Long-term success with AI depends on two things: building skills at every level and aligning leadership around a shared approach. 1) Build AI skills for every role AI is no longer just a technical topic. Every employee should understand how it can enhance their work. Recent data points underline the urgency: - In Microsoft’s Work Trends Index 2025, **47% of leaders** list upskilling existing employees as a top workforce strategy for the next 12–18 months. - A Gartner survey found **69% of CIOs** plan to upskill employees on AI, but only **15% of IT leaders** believe their workforce is fully prepared. To close this gap: - Offer structured, role-based learning paths—from beginner to advanced - Use a mix of formats: on-the-job experimentation, interactive labs, prompt-a-thons, and guided courses (for example, via Microsoft Learn) - Integrate AI training into existing platforms like Microsoft Learn, Viva Learning, and LinkedIn Learning - Encourage safe experimentation so employees can try AI on real tasks in a supportive environment Training should be tied directly to business goals: how AI can drive efficiency, innovation, and strategic advantage in specific functions. 2) Align leadership and governance AI adoption is a company-wide change, so leadership roles should be clear: - **CIOs** define the AI strategy and ensure it aligns with business priorities - **IT leaders** manage AI infrastructure and secure deployment - **Functional leaders** sponsor and champion AI within their teams and organize user adoption efforts - **User adoption teams** run training, engagement, and change management programs - **Security and compliance teams** oversee governance, security, and risk management When leadership is aligned and employees have clear learning paths, AI becomes an enabler of how people work, collaborate, and innovate—rather than a disruption. Over time, tracking adoption, gathering feedback, and refining your approach will help your organization steadily improve outcomes and move closer to becoming a truly AI-enabled business.