Microsoft Unveils AI Features at Build 2025

Microsoft Unveils AI Features at Build 2025

At Build 2025, Microsoft introduced a wave of new AI features aimed at making software more helpful, more autonomous, and more integrated into daily work. The main focus? AI agents that don’t just assist — they act, coordinate, and solve problems alongside you.

This shift brings AI deeper into Microsoft 365, GitHub, Azure, and Windows, helping users go beyond automation into smart, multi-step workflows.

Smarter Copilot Across Microsoft Products

Copilot is no longer just a text assistant. It's evolving into an AI collaborator. In GitHub, it can now find bugs, suggest code changes, and even push updates.

In Microsoft 365, Copilot agents work across documents, calendars, and emails to complete tasks without constant prompts. Using Copilot Studio, users can also build their own agents that handle CRM updates, reports, or meeting setups.

Azure AI Foundry and Model Flexibility

Azure AI Foundry lets developers access and deploy thousands of models from OpenAI, Meta, xAI, and others. These models can be plugged into tools or services using Microsoft’s Model Context Protocol, giving devs flexibility to build AI agents that fit their use case.

This means smoother integration, model switching, and more control over how agents behave and respond to users.

Real Features, Real Impact

Windows now includes built-in AI actions, like file summarization or quick edits in File Explorer. Power BI users can chat directly with datasets and trigger automated reports.

Microsoft also introduced Entra Agent ID, giving every AI agent its own identity, access level, and activity log. This adds a layer of safety and control across large teams.

If you're leading digital transformation, this opens up practical use cases across customer service, internal ops, and product delivery.

Learn How to Apply These Skills

Want to track performance, build reports, or test user behavior around AI features? The Data Science certification gives you the tools to collect, analyze, and use real-time data to improve agent workflows and decisions.

If you're interested in building or deploying AI models like the ones powering Microsoft’s new agents, the AI Certification covers system design, prompt logic, fine-tuning, and governance strategies.

And if you’re planning go-to-market strategies for AI-powered products, the Marketing and Business Certification shows how to position features, explain value clearly, and lead adoption with confidence.

Final Thoughts

Microsoft is making AI more than a feature — it's becoming a partner in how we work. Build 2025 proves that agents are the next big step, and the tools to use or build them are already here.

Whether you're a developer, analyst, or marketer, there’s never been a better time to explore how AI fits into your everyday workflow.

Akansha Sharma

Associate digital marketing @Blockchain council ||MBA in Marketing and Operation | MS-Excel | Digital Marketing |

1mo

Thanks for sharing

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Shibani Roy Choudhury

Senior Data Scientist | AI System Designer | Applied NLP & Predictive Modeling | Explainable Recommenders | Multi-Agent RAG Workflows

1mo

What excites me most is the shift from passive AI tools to agentic systems that act autonomously across workflows. I’m currently building a multi-agent Self-RAG assistant for compliance ops—curious to see how Microsoft’s Model Context Protocol might evolve interoperability here.

Manish Puri

Associate SEO at Blockchain Council

1mo

Love this

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Girdhari Kumar

Digital Marketer at Blockchain Council

1mo

Insightful

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