Marlabs becomes a frontier AI firm with Copilot 365, GitHub Copilot and Dynamics 365

An AI-first mandate becomes meaningful when it changes everyday work. Marlabs uses Microsoft 365 Copilot, GitHub Copilot, and Copilot Studio to build client solutions, while its HR agent reduces response times by more than 60% and advances a vision for one interface across agents. 🧭 Read the story to learn from Marlabs’ experience. @Microsoft Copilot

AI in action: Creating better experiences with Azure AI apps and agents

Repetitive development tasks can slow the pace of AI app innovation. The Microsoft Azure eBook, AI in Action: Creating better experiences with Azure AI apps and agents,” shows how GitHub Copilot works as an AI-powered coding assistant and how its new coding agent autonomously manages GitHub issues, writes code, runs tests, and creates pull requests. Download the eBook to see how Networx IT Solutions can help your developers build AI apps faster on Azure. 💡 @Microsoft Azure

Four Paths to Business Value with AI

Moving from AI experimentation to business value takes more than access to powerful models. 🤖 The eBook, “Four Paths to Business Value with AI,” shows how organizations build strategies on intelligence and trust to scale AI responsibly. Download your complimentary copy for ideas on use cases to consider and paths to moving forward. @Microsoft Copilot @Microsoft 365

Data security as a foundation for secure AI adoption

AI can transform productivity — when your data has been prepared. The Microsoft guide “Data security as a foundation for secure AI adoption” shows how to prepare data before deploying AI tools like Copilot for Microsoft 365. Learn how to identify sensitive data, strengthen governance, protect information, and prevent data loss as AI adoption accelerates. 📥 Download the guide and start preparing your organization for secure AI adoption.@Microsoft Security

TriNet moves to Microsoft 365 E5, achieves annual savings in security spend

Many organizations struggle with fragmented security tools, complex compliance requirements, and limited visibility across their environments. When HR solutions provider TriNet faced these challenges, it consolidated tools on Microsoft 365 E5, integrating capabilities such as Microsoft Purview Compliance Manager to strengthen governance, protect sensitive data, and streamline compliance monitoring. Get the story to discover how the move enabled Trinet to improve security and regulatory readiness, increase productivity, and achieve significant cost savings by replacing multiple standalone solutions with a unified platform. @Microsoft Security

GitHub Copilot new agentic modernization capabilities

Legacy applications can slow your path to cloud and AI readiness. See how GitHub Copilot agents assess, plan, and modernize apps, deploying directly to Azure with developers in the driver’s seat. ⚙️ @Microsoft Azure

Select the Right AI Model

With more than 11,000 AI models in Microsoft Foundry, choosing the right one for each use case can be overwhelming. The Microsoft Azure eBook, “Select the Right AI Model,” outlines a use case-based approach to selecting models that balance performance, cost, scalability, and compliance. Download your complimentary copy for insight on: ✅ How real-world organizations use Microsoft Foundry AI models to accelerate innovation ✅ Informing model selection by use case and a step-by-step evaluation, testing, and monitoring process ✅ Experimenting with models in a controlled Foundry environment @Microsoft Azure

Data Security Index

Security and compliance priorities are evolving quickly as organizations face growing data risks and new challenges from AI. The Microsoft Security Data Security Index 2026 report reveals why more organizations are increasing security investments and shifting toward unified platforms for better visibility and protection. Download the report to learn what’s driving these decisions — and how your organization can strengthen its security strategy. 📥 Download the report: @Microsoft Security

NSF enables life-saving treatments to get to patients faster with Azure AI

Reviewing thousands of documents can stretch audit timelines and introduce risk. ⚙️ Combining the Microsoft Cloud Accelerate Factory with a custom tool built on Azure Document Intelligence and Azure Model Context Protocol (MCP) Servers, NSF reached near-perfect accuracy and halved the time needed for compliant audits. Read the story for ideas on how you can use Azure AI to support similar goals. 🔬 @Microsoft Azure

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