Customers

Share this article

Why enterprises must rearchitect for Agentic AI: Key takeaways from Microsoft Ignite 2025

Our learnings from Microsoft Ignite 2025 on agent control planes, unified context, agent security, and making agentic AI scalable.

Attending Microsoft Ignite 2025 this year, we could feel a tremendous shift in how enterprises are approaching AI transformation. Moving from mere experiments with copilots, businesses are rethinking their automation strategy and designing governance frameworks from scratch.  

Microsoft clearly showed how, for such companies, it’s essential to rearchitect their enterprise around AI agents that are well-governed, contextual, interoperable and secure.

And as a team that’s spent the past few years building Atomicwork around these exact principles, the announcements made at Ignite 2025 was more like an affirmation of the future we’ve always believed in.

Agent 365 underscores the need for an enterprise control plane for AI Agents

When Microsoft announced Agent 365, a comprehensive control plane designed to manage AI agents at scale, we couldn’t help but appreciate how well they articulated the problem.

As AI agents are deployed across workflows, organizations need a way to innovate without succumbing to the risks of broken experiences and unauthorized accesses. Agent 365 is Microsoft’s move to extend the governance we apply to human users… to agents.

That means every AI agent gets a unique Microsoft Entra Agent ID, listed in the enterprise agent registry that enforces enterprise-level permissions and access controls, visibility into agent actions, and promotes governance across the agent lifecycle.  

That’s an incredible step forward in welcoming AI agents as digital teammates with clear identity, accountability, and governance.

At Atomicwork, this has always been foundational in how we deploy AI agents that can only be governed, audited and trusted.  

Reinforcing a unified context layer with Work IQ, Fabric IQ and Foundry IQ

Microsoft also made it clear that if Agent 365 is the control plane, their new unified context layer powers the agents with three different intelligence systems:

  • Work IQ - the behavioral and workflow context for Microsoft Copilot
  • Fabric IQ - a semantic model across business data
  • Foundry IQ - a RAG system that grounds agents in enterprise knowledge

These layers give agents a shared understanding of organizational structures, entities, relationships, and workflows. This context and memory power personalized agents that understand and reason over business intent with historical awareness.

This is exactly our philosophy behind Atomicwork’s Universal Context— our interconnected model of live data from employees, assets, workflows, dependencies, approvals, identity and operational relationships.  

It’s what lets Atom, our Universal AI agent, drive contextual resolutions and automate cross-functional workflows reliably.

And seeing Microsoft elevate context to a first-class capability confirms our belief in maintaining a robust organization context layer as the operating system for agentic AI.

Enterprise AI Agents that work across your business ecosystem

At Ignite 2025, Microsoft also introduced actual, ready-to-use business agents to ease everyday tasks at work, including:

  • Sales Development Agent for autonomous prospecting and follow-ups,
  • Workforce Insights, People and Learning Agents powered by Work IQ,
  • Teams Admin Agent for automated provisioning, monitoring and policy operations.

These agents are tasked to handle end-to-end workflows which marks the beginning of enterprises moving from prompting to orchestration.

We’ve been working on such autonomous, context-aware agentic workflows for enterprise IT that are orchestrated to, let’s say, resolve tickets, provision access, coordinate approvals, update systems, notify stakeholders, and drive operational outcomes.

Microsoft also expanded agent interoperability through the Model Context Protocol (MCP), enabling agents inside Teams to collaborate with tools like Jira, Asana and GitHub.

It was heartening to see that the future indeed belongs to integrated agentic workflows that span the enterprise and are not confined to small use cases.

Security is and always will be the backbone of AI adoption

Microsoft also acknowledged the new surface area created by agentic automation. Their announcement of Microsoft Defender for AI Agents addresses real enterprise concerns around identity misuse, prompt injection, sensitive data exposure and agent sprawl.
This includes an improved security posture management for AI agents, attack path analysis, detection of malicious agent actions, and visibility into risk across cloud environments.

AI must be safe to be valuable. Governance, permissions, auditability and policy alignment must sit at the heart of every agentic design.

Ignite 2025 reaffirms Atomicwork’s mission

The more we reflect on Ignite, the more convinced we are that enterprises are converging on common themes, irrespective of the industry or use cases they’re working on:

  • AI Agents need a centralized, governed control plane
  • Context is the foundation of agentic intelligence
  • Interoperability is non-negotiable
  • Security can never be compromised while accelerating adoption

While Ignite 2025 outline Microsoft’s roadmap, it was a validation of the future Atomicwork with agentic service management for the past three years. This is the year when agentic AI moves from experimentation to actual business outcomes and we’re well-positioned to lead in that new agentic era.

No items found.
Get a demo
Meet 100+
tech-forward CIOs
Sept 24, 2025
Palace Hotel, SF
Request an invite
Summarize with:

You may also like...

A-RICE Framework: An IT leader’s guide to evaluating AI initiatives for enterprise IT
Find out how you can evaluate and prioritize AI initiatives to address IT challenges at your organizations with the A-RICE framework.
The agentic symphony: Why AI agent orchestration is the future of enterprise automation
Learn how AI agent orchestration helps IT leaders move from single-use agents to scalable enterprise automation.
The truth about Agentic AI in enterprises: Governance, trust, and the human factor
Hanah-Marie Darley, Chief AI officer at Geordie AI, on why agentic AI's success depends on governance, trust, and designing for real human behavior.

See Atomicwork in action now.

Learn how Atomicwork + Lansweeper
turn asset insights into real IT action.
RSVP now