Employee use of AI agents is inevitable. But for those in senior IT roles, the challenge is not whether to adopt AI, but how to do it safely and effectively. We examine the key issues and show how a well-structured assessment can accelerate AI readiness.
Do you see the strategic importance of AI, feel pressurised to ‘do something’, but remain unsure how to operationalise it safely and at scale? If so, you’re not alone.
Although IT hesitancy reflects a real and valid awareness of the risks and inherent ambiguities, the pressures to act will only increase.
Not a normal rollout
Part of the challenge is that AI isn’t just another technology rollout – in many ways it’s different:
- Employees can access and synthesise vast amounts of organisational data
- Non-developers can create their own automations and agents
- Outputs are dynamic, not deterministic, and
- Value comes from thousands of small improvements rather than one big system.
This changes the way we need to govern and manage the software, as well as the way employees use it – increasingly they will create and delegate work to it.
Why Agentic AI is daunting
Talking to IT leaders the same concerns come up repeatedly: data risks, governance needs, unclear readiness, and pressure to act.
There are several very real areas of uncertainty that can easily become barriers to action.
Security and data risks
Tools like Microsoft 365 Copilot have the capability to surface organisational data in new ways, raising questions around data accessibility and visibility:
- What can Copilot access?
- Will sensitive data leak?
- Is our permissions model strong enough?
Governance shortcomings
Unlike traditional IT systems, agentic AI brings with it non-deterministic outputs, employee-built agents, and dynamic workflows. This is prompting IT leaders to ask:
- Who owns these agents?
- What’s allowed and what’s not?
- How do we audit decisions?
Most existing governance models haven’t anticipated these sorts of questions.
The shift to ‘citizen AI development’
Tools like Microsoft Copilot Studio allow non-developers to build agents. While this creates huge opportunity, it lessens central control and it raises questions around how this should be handled.
Some have likened it to the early anxiety around Power Platform adoption, but this comparison risks underplaying the potentially far greater consequences.
Who is responsible for AI?
While AI technologies typically fall under IT’s remit, AI as a strategic initiative may not. Should it be driven by Digital, by the business, or shared? If so, how should ownership be structured? How should adoption be scaled?
ROI is hard to quantify
Where budgets are linked to ROI, at least initially, the returns can be hard to quantify. The benefits are likely to be widely dispersed, gains are incremental, and the real value comes from many small improvements.
With so many unanswered questions and no clear starting point, there’s a danger of inactivity.
Gaining the confidence to press ‘Go’
For many, the fundamental problem isn’t one of technology. Most organisations already have the foundations in place with Microsoft 365, SharePoint and Teams data, identity and access controls, and sound security and governance. While these may need building on, it’s not the technology that’s holding IT back: it’s a lack of clarity:
- Where are the risks?
- What is needed to safely proceed?
- What needs fixing first?
- How do we justify investment and timing?
This is where a structured readiness assessment matters.
How a Microsoft 365 Copilot Readiness Assessment will help
A well-designed Copilot readiness assessment will provide clarity and move you from uncertainty to informed action.
Done properly, it will deliver five critical outcomes:
- Reduced adoption risk
By identifying where data exposure, access controls or governance gaps exist, these can be proactively addressed.
- An objective, documented view of readiness
It provides an evidence-based assessment of Copilot readiness, to enable confident go/no-go or phased rollout decisions. It will also help to combat ill-considered demands to ‘just do it’.
- Prioritised, actionable recommendations
Not everything needs fixing, or fixing now. The assessment focuses effort on the areas that will have the greatest impact on risk reduction and value realisation.
- Alignment of IT, security, and the business
Through structured discovery and analysis, it creates a shared understanding, reducing stakeholder friction and accelerating decision-making.
- Clarity without an open-ended commitment
Delivered as a fixed-price, time-bound engagement with clear governance and sign-off, it gives meaningful outcomes without launching a large, undefined programme.
The risks of delay
A recent MIT report reveals that over 90% of employees are already using gateway AI tools like ChatGPT. Although only 40% of companies had purchased licenses.
Increasingly, employees will have friends that are progressing beyond this to use generative AI to improve their work.
The implication is clear: if you don’t provide approved tools, guidance, and safe environments, employees will explore external AI tools and build unmanaged solutions.
It’s critical that the organisation ensures AI use happens in the right way.
Regaining the initiative
Successful organisations aren’t treating AI as a single project, but as the introduction of a capability to be progressively developed and scaled.
That starts with:
- Understanding your current state
- Developing a clear view of what needs to be addressed
- Enabling early use cases, and
- Building confidence across the organisation.
A structured readiness assessment doesn’t just tell you where you are — it gives you a defensible, practical path forward.
And right now, that’s exactly what many IT leaders need.
Learn more about Cloud Direct’s Microsoft 365 Copilot Readiness Assessment.
Request a call with one of our experts using the form below, and find out how we can remove AI uncertainty and provide you with a clear route to adoption.
