What is agentic AI? Agentic AI is changing how work gets done. Instead of following rigid instructions, these intelligent agents evaluate situations, make decisions, and execute tasks, often without waiting for human direction.
If you’re managing projects, processing financial reports, or resolving IT tickets, agentic AI also combines advanced models with enterprise data to deliver outcomes that were previously out of reach for automation.
“Microsoft is at the front of this shift. With tools like Microsoft 365 Copilot and its growing suite of AI agents, organizations can move beyond task automation and start building systems that think, adapt, and scale with their business,” said Jacob Saunders, EVP of Professional Services, Atmosera.
In this blog post, we’ll further explain agentic AI, the difference between agentic AI vs. traditional automation, and how agentic AI is helping drive business transformation.
What is Agentic AI? The Simple Explanation:
Agentic AI goes beyond traditional chatbots and generative models. Instead of reacting to prompts, it works toward specific business goals—planning, deciding, and acting on its own. It can carry out multi-step tasks like resolving customer issues, adjusting supply chains, or supporting IT systems without waiting for a human to give the next instruction.
What makes it different? Agentic AI uses advanced reasoning, learns from outcomes, and coordinates across apps and data sources to get results. It answers questions and decisions and delivers outcomes on how you can turn agentic AI into everyday tools, and how Microsoft is leading the way.
Agentic AI vs. Traditional Automation: What’s the Difference?Traditional automation is built around fixed instructions. It’s great at handling repeatable tasks, but only when the path is predictable. If anything shifts, it stalls. Agentic AI is built for the real world, in which variables change, systems evolve, and outcomes matter. These AI agents don’t just follow scripts: They assess situations, weigh options, and execute actions that align with a defined objective. If it’s resolving a support issue or optimizing a workflow, they move step by step with built-in flexibility. Microsoft’s agentic AI tools go even further. With dynamic reasoning and access to real-time business data, these agents can prioritize tasks, coordinate across systems, and escalate when needed. |
How is Agentic AI Helping Drive Business Transformation?
AI adoption is now about rethinking how entire organizations operate. (Just in the first quarter of 2024, nearly 70% of Fortune 500s adopted Microsoft 365 Copilot.) With Microsoft’s expanding ecosystem of agentic tools, businesses are taking meaningful steps toward transformation.
By combining autonomous agents with Microsoft Copilot and the creativity of your team, companies are pushing past the limits of traditional automation. Whether it’s customer service, sales enablement, research, or workflow management, agentic AI delivers focused, goal-driven execution without relying on manual prompts.
Microsoft 365 Copilot Chat makes these capabilities more accessible, especially for frontline teams. Built-in security and enterprise-grade performance ensure it’s ready for real-world use from day one.
For businesses looking to go further, Microsoft Copilot Studio gives both IT and business users the power to create custom agents. Teams can address niche workflows, integrate with internal systems, and extend capabilities as needs evolve.
What is an Example of Agentic AI?
Prebuilt agents like Sales Agent and general-purpose tools like Researcher and Analyst are already creating a tangible impact. At Wells Fargo, for instance, a custom Teams-based agent now handles tens of thousands of internal support queries, cutting response time from 10 minutes to 30 seconds.
Agentic AI is driving measurable outcomes today, and Microsoft is putting those tools directly in your hands.
| How to tap into additional AI potential: |
How You Can Turn Agentic AI Into Everyday Tools
98% of organizations are planning to expand their use of AI agents. You don’t need to be a developer to start using agentic AI at work. With Microsoft 365 Copilot and Copilot Studio, you can build powerful AI agents just as easily as putting together a deck or spreadsheet.
Agents can connect directly to your business systems, such as email, reports, and CRM platforms, so they can pull information, complete tasks, and surface the answers you need. If you’re solving IT issues, answering HR questions, or digging into sales data, agents help make it happen.
For deeper business necessities, Dynamics 365 includes agents tailored for finance, sales, supply chain, and customer support. In SharePoint, every site will soon include an agent trained on your organization’s content, so teams can stop hunting for buried information and get what they need instantly.
If your team builds custom tools, Azure AI Agent Service opens the door to full-scale agentic apps. With support for both small and large language models, developers can create agent-based systems that automate complex processes, from syncing customer records to managing order workflows.
Microsoft’s SDK, along with Visual Studio Code and GitHub integrations, makes it easy to build, test, and launch with confidence.
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Microsoft Announces Better Agent Security and Open Agentic Web
Microsoft is laying the groundwork for an agent-first internet, one where AI agents don’t just assist, but collaborate, discover, and act across digital environments with precision and control.
To support that shift, Microsoft is introducing critical tools and standards that allow developers and organizations to build secure, interoperable agent systems.
What is an Agentic AI Framework?
An agentic AI framework gives developers the foundation to build intelligent, goal-oriented systems. It defines how AI agents gather information, process data, coordinate actions, and make decisions.
These frameworks handle communication between agents, manage task sequencing, and keep agents aware of their environment so they can adjust in real time.
Standout work from Microsoft is support for the Model Context Protocol (MCP)—a framework that allows AI agents to understand and safely access content, services, and data across platforms.
Microsoft is embedding MCP across its agent infrastructure, from GitHub to Azure AI Foundry to Copilot Studio, enabling agents to work seamlessly across environments.
With Microsoft Entra Agent ID, every agent built in Microsoft’s tools is automatically given a verifiable identity, which helps IT teams track usage, enforce access controls, and avoid security gaps. Combined with Microsoft Purview, organizations can apply compliance and data protection policies to agents just as they would to human users.
Microsoft is also pioneering the future of how users interact with web content through NLWeb—a new open project that turns any website into a rich, AI-compatible surface. It gives site owners the ability to offer conversational access to their content while giving users the freedom to choose their model and data context.
With the right framework in place, businesses can move quickly from concept to execution, building agentic AI solutions that fit their operations and scale with confidence. That’s where Atmosera comes in.
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