The Open Agentic Web Is Here—And It’s About to Redefine How We Work

Understanding Open Agentic Web and Why It’s Reshaping the Future of Work

The Open Agentic Web is the next evolution of the internet, where autonomous AI agents work on your behalf across applications, devices, and organizations. Think of it as the internet of intelligent agents. Instead of just searching, clicking, or prompting, you can rely on digital agents that understand your intent, navigate systems, and complete tasks for you. 

These agents don’t operate in silos. They interact across platforms using open standards such as the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication. Microsoft is enabling this through its broader vision of an AI-first infrastructure that is open, secure, and highly interoperable. 

This shift allows agents to collaborate with other agents, retain context, and take complex, multi-step actions. The Open Agentic Web is not just about individual productivity. It supports entire organizations by extending capabilities across workflows, systems, and domains. It lays the groundwork for seamless human-agent teamwork at scale. 

To start exploring how these AI systems operate across business environments, visit the course SC-5006: Get Started with Microsoft Copilot for Security and see how Microsoft is bringing intelligent collaboration to cybersecurity teams. 

Agentic AI vs Traditional AI

The Agentic Web introduces a new way for AI to operate—through autonomous agents that act across platforms, retain context, and collaborate with other systems. Unlike traditional AI, which is often reactive and isolated, the Agentic Web enables agents to deliver outcomes with minimal input and maximum flexibility. 

Dimension	Traditional AI Systems	Agentic Web
Task Execution	Responds to single queries or commands with isolated outputs	Performs multi-step tasks with contextual awareness across tools and platforms
Context Retention	Operates within narrow, short-lived sessions	Maintains long-term memory and task context for ongoing actions
Collaboration	Works within individual apps; lacks inter-system coordination	Allows agents to coordinate across platforms using open protocols (MCP, A2A)
Decision-Making	Executes predefined logic or responds to static prompts	Evaluates inputs, adapts strategies, and takes initiative to complete goals
Integration Scope	Tied to specific tools or environments	Designed for interoperability across enterprise ecosystems
User Involvement	Requires frequent prompts or monitoring	Operates with minimal supervision, offering hands-off productivity
System Architecture	Centralized or app-specific workflows	Decentralized, agent-led framework built for open, scalable environments

 

This evolution reflects Microsoft’s broader strategy to embed intelligent agents throughout its ecosystem—from GitHub to Microsoft 365 and beyond. To learn how secure identity and access controls support these agents, explore the SC-300T00: Microsoft Identity and Access Administrator course. 

Microsoft’s Vision for the Agentic Web at Build 2025

At Build 2025, Microsoft showcased the tools and frameworks that bring the Open Agentic Web to life. These are not abstract concepts, but innovations are already changing the way we write code, talk to each other, build things, and learn. 

GitHub Copilot as a Coding Agent 

GitHub Copilot has gone beyond being an autocomplete tool. It now serves as a full-fledged coding assistant that can handle tasks like bug fixes, feature development, and code maintenance independently. Developers can delegate issues, and Microsoft Copilot  provides complete solutions, turning it from an assistant to a productive team member. 

Copilot Tuning 

With Copilot Tuning, organizations can now customize how Copilot communicates—no coding is required. Teams can teach it their preferred tone, language, and workflows so that outputs align with brand and operational guidelines across the board. 

Agent Factory (Azure AI Foundry) 

The Azure AI Foundry provides the platform to build, deploy, and scale AI agents using over 1,900 models from providers like Grok, Meta, Hugging Face, and Mistral. It supports agentic retrieval with Azure AI Search, deep integration with Copilot Studio, and new services like the Foundry Agent Service. 

NL Web: A Language for Agents 

NL Web is an open standard that lets agents interpret and interact with websites using natural language. Think of it as the HTML of the agentic era—enabling agents to read, understand, and act on web content just like a human would. 

Microsoft Discovery 

This tool leverages AI agents to simulate scientific experiments, generate hypotheses, and identify breakthrough solutions. A recent example includes the development of a coolant candidate that avoids harmful “forever chemicals”—all done by agents using Microsoft Discovery. 

How to Prepare Your Team for the Agentic Web?

The Open Agentic Web may seem complex at first, but Microsoft has made it accessible across roles. Whether you're a developer, strategist, or business lead, there are clear entry points to get started, and a background in deep AI is not required. 
For example, you can develop copilots with Azure AI Studio to build task-specific agents without needing deep machine learning expertise. 

Persona	How You Can Start	Tools to Explore
Developers	Build and deploy autonomous agents using APIs, SDKs, and prebuilt models	GitHub Copilot, Azure AI Foundry, Copilot Studio
Product Managers	Define agent behavior, workflow logic, and integrations without writing code	Copilot Studio, NL Web, Foundry UI
IT Leaders & Architects	Integrate agents with existing infrastructure, enforce security and compliance standards	Model Context Protocol (MCP), Azure AD, A2A APIs
Security & Compliance Teams	Automate access controls, enforce policy-based governance, and monitor agent behavior	Microsoft Entra ID, Identity Protection
Business Operations	Automate tasks, analyze agent performance, and drive cross-functional efficiency	Microsoft Power Platform, Copilot for M365

 

Tools like Copilot Studio, Azure AI Foundry, and GitHub make it easy to: 

• Build, deploy, and manage AI agents tailored to your needs 

• Set objectives and personalize behaviors 

• Integrate agents into existing workflows; no complex algorithms are required
  

Beyond developers, business teams are leveraging these systems to: 

• Streamline operations 

• Automate compliance processes 

• Enhance decision-making 

• Unlock cross-departmental value 
  
  

Emerging standards like NL Web and Model Context Protocol offer: 

• Greater flexibility and control 

• Secure, interoperable agentic systems across the organization 
  
  

To explore how AI agents can streamline day-to-day developer tasks, consider a course like Accelerate app development by using GitHub Copilot. 

Skill Up with NetCom Learning: AI Training for the Agentic Web

The rise of the Open Agentic Web requires new skills. At NetCom Learning, we help individuals and organizations prepare for this shift through authorized Microsoft training courses, and hands-on AI training programs. 

Whether you are a developer, security analyst, or IT executive, our training prepares you to create, operate, and protect agentic systems. 

s with confidence. From prompt engineering and model optimization to cross-platform agent deployment, our courses map to real-world business use and Microsoft's ever-changing tech stack. 

Start with foundational courses like GitHub foundations, then progress into advanced certifications, including Copilot integration, Microsoft 365 AI tools, and secure cloud development. For identity and access roles, explore the SC-300T00: Microsoft Identity and Access Administrator or go deeper into threat management with the SC-200T00: Microsoft Security Operations Analyst. 

Why the Open Agentic Web Demands Your Attention?

The Open Agentic Web represents a fundamental change that reframes how individuals and organizations engage with digital systems. As AI agents are able to automate workflows, make choices, and collaborate across systems, those companies that grasp and embrace this in its early stages will be considerably more competitive. 

This isn’t about adopting a tool. It’s about preparing your workforce for an AI-first environment where intelligent agents handle real operational responsibilities. The impact spans departments: developers can code faster, analysts can work smarter, and IT teams can automate identity governance at scale. 

The technology is here. The standards are taking shape. The question is whether your organization is ready to lead or be led. Start investing in skills, infrastructure, and strategy now. Those who build for the agentic future will shape it. 

Key Questions Answered – Open Agentic Web and Agentic AI

What is the Open Agentic Web? 
The Open Agentic Web is a decentralized internet layer where AI agents operate autonomously across systems, apps, and organizations. These agents can reason, act, and collaborate without constant human input, delivering outcomes on behalf of users and teams. 

How is it different from Agentic AI? 
Agentic AI refers to the design of intelligent agents that make decisions and execute tasks independently. The Open Agentic Web is the infrastructure that enables these agents to operate across platforms, using open standards like MCP and A2A. 

What tools do I need to build for the Agentic Web? 
Microsoft offers a full ecosystem, including GitHub Copilot, Copilot Studio, Azure AI Foundry, and NL Web. These tools let you build, customize, and deploy agents—often without writing complex code. 

How secure are these agents? 
Security is a core focus. Microsoft’s identity, access, and governance tools extend to agents, ensuring data privacy, compliance, and control.  

Did Microsoft unveil over 50 AI tools at Build 2025? 
Yes. Microsoft introduced more than 50 tools and features to bring the Agentic Web to life, including advancements in GitHub Copilot, NL Web, Azure AI Foundry, and enterprise-grade AI security integrations. 

Can AI agents operate across different companies and apps? 
Yes. With the use of open protocols and natural language interoperability, agents can communicate and execute tasks across organizational boundaries—safely and contextually. 

Where can I learn to build secure, compliant AI agents? 
Start with courses like SC-401T00: Microsoft Information Protection Administrator to understand how data security, compliance, and agentic systems converge in enterprise settings.