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A Practical Guide for Bringing AI into Your Business processes

Ready to make AI work harder for your business? Microsoft’s “A Practical Guide for Bringing AI into Your Business Processes” shows how AI and human expertise can work together to: – Accelerate research and decision-making – Streamline content updates and maintenance – Improve personalization across audiences and markets – Identify skills needed for AI-enabled workflows Download your complimentary eBook to discover practical ideas for improving productivity, quality, and business processes.🤝 @Microsoft Copilot

NSF enables life-saving treatments to get to patients faster with Azure AI | Microsoft Customer Stories

When audits include numerous regulated documents, even minor delays can be significant. NSF encountered this challenge and is now utilizing Azure AI to decrease audit duration and minimize the risk of human error, ultimately accelerating the delivery of life-saving treatments to patients. Check out the story to discover how Azure AI is delivering tangible results in regulated sectors. @Microsoft Azure

Windle International Kenya & Somalia reimagines education with Microsoft 365 | Microsoft Customer Stories

When Windle International Kenya & Somalia faced overcrowded classrooms and a shortage of certified teachers, it turned to Microsoft Teams, Microsoft 365 Copilot, and Microsoft Forms. The nonprofit live-streams teachers to remote classrooms and tracks attendance to help staff intervene before students drop out. 📚 How can Microsoft 365 Copilot help your nonprofit amplify its impact? Read the story to learn from Windle International’s experience. @Microsoft for Nonprofits @Microsoft Copilot

Tecban increases up to 35% productivity with Microsoft 365 Copilot + GitHub Copilot | Microsoft Customer Stories

How do you scale AI-driven productivity without compromising security and control? When banking technology provider Tecban set out to achieve both, it adopted Microsoft 365 Copilot and GitHub Copilot to bring AI into everyday business and development workflows. The results? Up to 30% productivity gains, with some tasks reduced from hours to minutes. Read the customer story for ideas on scaling AI securely while delivering measurable business value.📈 @Microsoft Copilot

Securing Enterprise DevOps Environments

As DevOps environments grow more complex, security risks can spread across tools, pipelines, and applications. 🔐 This technical guide highlights how Azure and GitHub support end-to-end security with a shift-left approach across development and operations. Download the guide to see how you can reduce risk while maintaining speed. @microsoft-azure ⚡

Top 10 prompts to try with Microsoft 365 Copilot

A strong prompt can turn Microsoft 365 Copilot into a real time-saver. This infographic offers 10 ready-to-use prompts for preparing for meetings, updating status reports, and visualizing data in Excel. ✍️ Check out the infographic to help your staff get more from Copilot every day. @Microsoft Copilot

Work IQ overview

What could your agents accomplish with a deeper understanding of your organization? The Microsoft Learn post below describes how this workplace intelligence layer helps agents reason over data, context, and tools with permission-aware governance built in. 🧠 Read the post to see how Work IQ lays the foundation for faster, more efficient agents and workflows. @Microsoft Copilot

Postmates uses GitHub Advanced Security to automatically surface vulnerabilities before hackers do.

As Postmates scaled, ensuring application security across hundreds of repositories became increasingly complex for its lean security team. To simplify, it deployed GitHub Advanced Security in Azure to automate vulnerability detection and reduce manual security work by embedding security directly into developer workflows. Get the story to learn how the company benefited from stronger security with less friction for engineering teams. @Microsoft Azure

AI is becoming a bargain hunter’s market, with a few luxury models on top

AI pricing is splitting in two, with commodity inference falling toward zero while frontier models grow more expensive. This article from The Register looks at token economics in practice, including the point where extra spend stopped improving developer productivity and how a token limit trimmed costs by 40%. 💰 Read the article before your next AI budget conversation.

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