Preparing Your Infrastructure for Agentic AI

Published 25/03/25 under:

The AI landscape is evolving quickly. We’re now entering the era of Agentic AI, where intelligent agents don’t just assist but act independently, execute tasks across systems, and make decisions based on context.

While the buzz is growing, the real challenge for IT leaders around Agentic AI is clear: your infrastructure needs to be ready. This blog breaks down what it really is, and how you can prepare your environment to support it.

What is Agentic AI?

Agentic AI refers to systems that operate as autonomous agents. They don’t wait for step-by-step instructions but instead take initiative, follow through on tasks, and make decisions in real time.

In Microsoft’s ecosystem, this might look like Copilot Studio agents managing workflows across Microsoft 365, Teams, CRMs, and ITSM platforms. They follow up on actions, update records, and complete tasks with minimal user input.

To realise the potential of this shift, your environment must be secure, connected, and optimised for intelligent automation.

Where to expect pressure first

As these technologies start to land, expect strain in a few key areas of your stack:

Identity and Access Management (IAM)
Agents will need delegated access to data, apps, and systems. Strong conditional access, governance policies, and zero trust models will be essential.

Data Architecture
Agents rely on accurate, accessible, well-tagged data. Poor metadata or siloed storage will limit what they can do.

Endpoint Performance
A modern, responsive endpoint experience is still critical. If users are stuck on older devices, the impact of AI tools will be diminished.

Automation Layers
Platforms like Power Platform will be at the heart of agent workflows. If automation isn’t already part of your digital strategy, now is the time.

5 questions to ask yourself

1. Are your users on modern devices with Windows 11 and access to cloud-based tools?
2. Is your identity setup ready for agents to act securely on behalf of users?
3. Can your AI tools access and interpret your core business data?
4. Do you have governance in place to monitor and manage automation workflows?
5. Are your people prepared for the shift in how they’ll work?

What to do next?

You don’t need to implement agentic AI overnight. But laying the groundwork now will put you in a strong position to adopt these tools effectively.

Assess your readiness
Understand where you are today in terms of infrastructure, identity, data, and automation. We run tailored assessments designed for Microsoft-based environments. Check out our Microsoft 365 Optimisation Assessment below.

Modernise core infrastructure
Ensure endpoints are up to date, review your VDI/DaaS setup, and tighten up your security posture.

Run small pilots
Use tools like Copilot Studio or Azure OpenAI to test specific use cases, such as internal ticket handling or meeting follow-ups.

Build in control
Invest in governance tools such as DLP, audit logging, and lifecycle policies. These don’t slow down innovation – they support it.

Art of the Possible

Agentic AI isn’t just a new capability. It represents a shift in how work gets done. IT leaders who prepare now will be the ones who can adopt early, scale quickly, and stay secure while doing it.

If you want in understanding what’s possible and where your business can get the most benefit from Agentic AI, take advantage of our AI Art of the Possible Workshop today!