We’re saying the primary agentic end-to-end modernization answer that brings IT and builders right into a single, related workflow.
Asserting new brokers for modernization which might be constructed to scale and designed for management.
If you watch a dwell broadcast—just like the Olympics Video games or a significant sporting occasion—you aren’t eager about the coordination behind it. You merely expertise the occasion. Out of sight, specialised groups synchronize cameras, replays, knowledge, and commentary in actual time. When that coordination works, complexity disappears.
That is how I take into consideration AI brokers. Every one observes a special sign and contributes a chunk of the image. Telemetry surfaces what’s occurring, dependencies reveal how methods are related and dangers are surfaced as work progresses. The human stays in management all through—deciding what to behave on and tips on how to validate outcomes.
This mannequin issues as a result of modernization is changing into one of many greatest alternatives within the AI period. In reality, in response to Forrester’s Q1 2026 Cloud and AI Utility Modernization Survey, 91% of IT leaders see software modernization as essential to enabling AI developments of their enterprise.1 Nonetheless, many organizations nonetheless function complicated legacy estates with disconnected instruments and months of handbook planning simply to determine what to modernize. IT and builders typically work in parallel however with out a shared view of the system. AI adjustments the dynamic, serving to groups analyze environments, prioritize workloads, and speed up modernization.
As we speak, we’re taking one other step to assist organizations undertake new AI capabilities with actual enterprise influence. We’re saying the primary agentic end-to-end modernization answer that brings IT and builders right into a single, related workflow. With expanded capabilities throughout Azure Copilot and GitHub Copilot, we’re infusing AI by way of these instruments to speed up perception‑pushed selections and transfer modernization from evaluation to motion—quicker and at scale.
AI brokers make this attainable by working in parallel throughout discovery, evaluation, planning, migration, and code transformation. They automate dependency mapping, generate resolution prepared plans, and information execution contained in the instruments groups already use. Work that was once gradual, handbook, and fragmented turns into coordinated and steady as groups modernize throughout functions, infrastructure, knowledge and code.
One system. One crew.
The latest agentic teammate, Azure Copilot migration agent, is now in public preview. The migration agent helps organizations get rid of technical debt by embedding AI throughout discovery, evaluation, planning, and deployment, lowering modernization timelines dramatically. It really works in your most mission-critical servers, digital machines, functions, and databases, turning migration from a one-time undertaking right into a steady modernization movement.
The agent makes use of what clients already find out about their environments to create this steady modernization system offering early readability on their stock of servers, databases, functions and their dependencies, the way it all works, what it prices, and what’s value modernizing. What as soon as took months of handbook planning can now take minutes of dialog with the agent and a data-driven plan.
By lowering toil, closing expertise gaps, and aligning IT and improvement groups by way of related workflows, the Azure Copilot migration agent might help enterprises transfer to Azure quicker, extra confidently.
GitHub Copilot modernization capabilities additionally add to your modernization crew with brokers to rework legacy functions to turn into cloud and AI-ready. Embedded instantly the place builders work, these brokers can pull assessments, construct personalized modernization plans for every software, execute upgrades, and deploy on to Azure—all with builders within the driver’s seat.
And as we speak, its latest functionality, the modernization agent, is in public preview. The modernization agent means that you can transcend particular person functions and sort out modernization at scale, performing as an orchestrator to concurrently run a number of code assessments, construct distinctive modernization plans for every software, and execute the plans with automated framework and runtime upgrades. It is a main step ahead in how software house owners, architects, and builders can rework a broad set of functions at scale whereas retaining the customization wanted for every software.
In a real multi‑agent expertise, the modernization agent directs the printed—software house owners and designers set path, specialised brokers execute, and builders keep within the loop to information and validate.
Organizations have already seen success utilizing GitHub Copilot capabilities made typically out there this previous fall, modernizing in hours as an alternative of months with automated .NET and Java upgrades. For a latest buyer, complete modernization effort was diminished by 70%.2 As we speak, with its connection to Azure Copilot migration agent and native integration inside developer environments, GitHub Copilot modernization can rework functions end-to-end, with greater confidence outputs and management at each step.
Enjoying collectively for the win
Traditionally, infrastructure selections—touchdown zones, networking, governance—had been made upstream, with out visibility into software realities. Builders modernized code with out figuring out how it might run, scale, or be ruled within the goal setting. This meant mismatches surfaced late, when fixes had been most costly.
With Azure Copilot and GitHub Copilot working collectively, that disconnect disappears. Brokers assist bridge developer‑stage code insights with cloud migration and modernization planning. GitHub Copilot modernization capabilities scan software code to provide detailed code evaluation stories, whereas Azure Copilot’s migration agent ingests these stories to floor code‑stage points, warnings, and insights. This integration permits Azure Copilot to include actual code evaluation when assessing readiness and recommending the correct Azure goal, connecting developer‑pushed modernization work with the cloud and infrastructure planning utilized by migration groups. You get AI guided migration and modernization planning with clever workload prioritization, value visibility and automatic wave suggestions.
Why your database is important to modernization
Modernizing apps is simply a part of the journey. Your database is important, as a result of your AI technique is simply as sturdy as your knowledge technique. When knowledge is fragmented or locked into getting old infrastructure, even probably the most subtle agentic workflows hit a ceiling.
Shifting to Azure managed database providers readies your database for AI and transfers the operational burden of infrastructure administration to a platform constructed to deal with it. Totally managed providers cut back overhead, enhance resilience, and free groups to deal with constructing clever functions. The result’s a knowledge basis that may scale with demand, meet safety expectations, and keep prepared for what AI workloads require.
As soon as your knowledge property is modernized on Azure, the vacation spot is a unified knowledge platform—the place databases, analytics, and AI function as one coherent property. With AI capabilities natively constructed into Azure databases, organizations can construct cloud-native AI functions that leverage semantic search, reminiscence integration, and superior mannequin invocation. These capabilities are grounded in Azure’s knowledge layer, so fashions all the time work from probably the most present, trusted alerts the enterprise produces.
How modernizing on Azure empowers clients
Our brokers are making extra attainable. We’re shifting away from one-off use of agentic instruments to constant, repeatable agentic execution. That is the significance of pairing agentic instruments with structured supply fashions, so organizations can scale modernization confidently throughout groups and environments.
Ahold Delhaize, one of many world’s largest meals retail teams, shared how they modernized their software and knowledge property on Azure to help AI-powered enterprise outcomes. Utilizing agentic instruments throughout migration and modernization workflows, they diminished complexity, improved modernization collaboration throughout groups, and accelerated supply.
By making use of brokers throughout discovery, evaluation, and execution, Ahold Delhaize moved away from fragmented modernization efforts and towards a extra steady, clever course of—one which offered confidence in each the plan and the execution.
Buyer outcomes like these level to the identical conclusion: the way forward for modernization is agentic, related, and human-led.
Cloud Speed up Manufacturing unit brings agentic modernization to life at scale
Agentic instruments are redefining what’s attainable, however outcomes scale when innovation is paired with execution. Cloud Speed up Manufacturing unit, a good thing about Azure Speed up, helps organizations operationalize modernization with zero-cost, fingers‑on supply from specialised Microsoft consultants.
As Microsoft’s first-party modernization supply engine, Cloud Speed up Manufacturing unit works alongside clients and companions from discovery by way of manufacturing, making use of a structured strategy to modernization at scale throughout functions, infrastructure, and knowledge—typically in days, not months.
Mixed with agentic capabilities like Azure Copilot and GitHub Copilot, Cloud Speed up Manufacturing unit helps organizations confidently modernize, quick, in order that plans turn into measurable progress throughout key workloads together with .NET, Java, and SQL.
Be a part of the visionaries on the Microsoft Azure Summit
Prepare for a wealthy agenda at this 12 months’s Microsoft Azure Summit: Migrate and Modernize with Agentic AI. This livestream occasion on March 12, 2026, (Asia and Europe) and April 23, 2026, (Americas) options interactive classes led by Microsoft engineering with compelling buyer tales and dwell demos of the most recent improvements mentioned on this weblog. Hear instantly from organizations which have efficiently leveraged the most recent agentic tooling and capabilities emigrate and modernize to Azure, and see firsthand how new choices could make a tangible influence on what you are promoting.
This 12 months’s summit options a powerful lineup of matters serving to you construct the way forward for cloud and AI.
- Keynote: Migrate and modernize with agentic AI
- Regional session (personalized): Modernization for a sovereign, AI-ready determine
- Breakout: Speed up and simplify planning, migration, and operations utilizing AI brokers
- Breakout: Reimagine software and database modernization with agentic instruments
1Forrester’s Q1 2026 Cloud and AI Utility Modernization Survey [E-66670] Base: 223 World leaders in command of their group’s cloud and AI technique
2Speed up migration and modernization with agentic AI, Amanda Silver, September 23, 2025
