Microsoft Adds More Agentic AI Tools For Businesses
Microsoft has released new AI agents that will help businesses update their technology infrastructure more quickly and easily. The announcement shows that big tech companies are working harder and harder to create agentic AI systems for automating businesses. Microsoft says that these tools can make modernization projects easier and less complicated for IT departments and developers.
The company thinks that enterprise modernization often doesn’t work because the development and infrastructure teams don’t work together. Microsoft’s new agents want to bring together planning, deployment, and optimization processes into a single framework for modernization. This method makes it easier for businesses to move old systems to modern cloud environments without causing too many problems.
Source: ZDNET
Azure Copilot Migration Agent Enters Public Preview
Microsoft recently made the Azure Copilot Migration Agent available for enterprise customers to try out in public preview. The tool helps businesses move their servers, applications, and databases to modern cloud platforms by analyzing them. It uses AI in the planning and deployment stages of enterprise modernization to help with discovery assessment.
The AI agent looks at the current infrastructure and makes a detailed list of the applications, databases, and server environments that are already there. It then makes a structured plan for modernization that explains how the systems work, what upgrades are needed, and how much they might cost. Microsoft says that the system turns modernization from 1-time projects into ongoing digital transformation processes.
AI Automation Reduces Traditional Planning Work
Before companies can start moving systems, they often have to spend months manually evaluating their enterprise modernization projects. During these planning stages, people usually look at the dependencies of the application, the capacity of the infrastructure, and the performance needs. Microsoft’s AI agents want to make this preparation time a lot shorter.
By talking to the migration agent through conversational prompts, organizations can come up with plans for modernizing. Using data from existing enterprise infrastructure environments, the system can make detailed technical plans in just a few minutes. Microsoft says that this automation cuts down on the time needed for complicated modernization planning by a huge amount.
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GitHub Copilot Adds Application Modernization Agent
Microsoft also added a new modernization agent to GitHub Copilot to help developers update old software systems. The tool looks at the structures of application code and finds ways to make them work better with the cloud and AI. These agents can help developers turn old apps into new ones that work with cloud computing.
The modernization agent works like a conductor, able to look at many applications at once in big business settings. It automatically makes custom plans for updating each system based on how the architecture works and what it needs to do at runtime. The agent can also make changes to the framework, improve the runtime, and restructure the application.
Linking Application Code To Infrastructure Systems
One problem that businesses always have is making sure that modernizing applications works with configuring and deploying infrastructure. Developers often change code without knowing how it will work when it is put on big cloud platforms. This disconnect often leads to problems with performance governance and scaling during modernization projects.
Microsoft says that Azure Copilot and GitHub Copilot working together can help bridge the gap between development and infrastructure teams. The combined system makes sure that upgrades to applications still work with the target cloud environments and governance rules. This coordination helps businesses update their software while keeping their infrastructure running smoothly.
Microsoft Stresses Workflows That Can Be Repeated With AI
Microsoft leaders say businesses should stop using agentic AI tools every now and then. Instead, businesses should use AI-driven workflows that can be used over and over again and work the same way across teams and development environments. Structured delivery models let businesses modernize many departments at once.
Jeremy Winter, the chief product officer of Microsoft’s Azure platform, talked about how important it is to combine agentic tools with structured processes. These systems let businesses run modernization projects over and over again, with the same results in different infrastructure environments. Microsoft thinks that this method will make businesses feel more sure about using AI to change their businesses.
Fireworks AI Expands Microsoft Foundry Platform
Microsoft also made Fireworks AI available to the public as a preview on its Foundry platform for business developers. The platform has tools for creating, deploying, optimizing, and managing AI apps in business settings. Using optimized infrastructure, developers can access advanced AI models and run inference tasks.
The Fireworks AI integration lets you use a number of important open models, such as OpenAI gpt oss 120b and Moonshot AI’s Kimi K2.5. These models let developers make custom AI apps without having to use only proprietary systems. Microsoft says that the platform makes it easier for businesses to try out new AI technologies.
