Managed AI Services
Use AI with confidence, business-wide.
AI is already being used inside most organisations, often without clear ownership, governance, or visibility. That may be manageable while AI is low-impact. As AI becomes more capable and more widely adopted, businesses need greater oversight and direction.
Managed AI Services gives you your own AI department, backed by decades of IT and cyber security experience. We help you identify opportunities, implement practical AI solutions, support your team, and establish the governance needed to adopt AI with confidence.
You don’t need to build an AI department yourself. You can use ours.
Does this sound like your business?
Why Managed AI Services Matter Right Now
Most AI use today is low‑risk: drafting, summarising, basic research.
But the next wave is agentic AI – multi‑step tools coupled with automation that touch multiple systems, use your data, and initiate actions.
If control and ownership aren’t in place first, adoption quickly becomes messy and risky at scale.
Your customers already expect you to safeguard data and systems. AI changes the risk surface, so being on the front foot is the responsible move.
Common AI Problems Solved
- AI experimentation without visibility from IT, cyber security, or management
- Tool sprawl and unclear ownership
- Shadow AI and ad‑hoc decisions
- Re‑arguing risk every time tools change
- Good AI ideas getting stuck because nobody knows how to move them forward
- Stale policies nobody uses or understands
What Success Looks Like
- Confidence to move forward
- Visible adoption that improves accuracy and consistency
- Lower risk and clearer accountability
- Knowledgeable partner keeping it current
Who This Is For
- Already using AI, but it’s getting messy
- Want structure without bureaucracy
- Want Microsoft 365‑aligned AI done responsibly
What We Deliver
AI Governance Without the headache
You get a maintained AI governance operating framework and staff-facing guidance that’s designed to stay current as AI tools and expectations evolve. We take the AI governance burden off your team, just like we do for IT.
know what's being used and by who
The goal is to avoid “wild west AI” and replace it with controlled, visible adoption.
we build and support aI for you
This is where Managed AI makes the direct, impactful change: we provide the skills and delivery capacity to help you move from idea → pilot → production, without you having to carry the full burden internally. AI ideas are assessed, designed and tested before being used in practice — with human‑in‑the‑loop oversight at key decision points, ensuring accountability and control.
The Human-First Principle
This is how we keep AI useful without letting it become an uncontrolled mess inside your organisation.
Machines Don't Decide
Human-In-The-Loop means real review
How We Deliver
Discover & Clarify
Establish Governance
Enable Useful AI Quickly
Scale Safely
Ongoing Support & Refinement
We’ll show you where AI is being used, where risks exist, and what to do next.
What “Managed AI” Means at activIT systems
* general information only, not legal advice.
Frequently Asked Questions
Is This Just About Licensing Copilot Or Choosing An AI Tool?
No. Tools matter, but they’re not the hard part. The real challenge is structure, responsibility and control: knowing what’s acceptable, who owns outcomes and how AI use scales safely over time. Managed AI Services is about governed adoption plus ongoing delivery, not simply turning something on and hoping it behaves.
Does AI Governance Mean Lots Of Red Tape?
No. Good governance is proportionate, not bureaucratic. Low risk, low impact AI use should remain simple. As AI tools start handling sensitive data, influencing decisions or automating work, oversight needs to increase accordingly. The goal isn’t to slow people down: it’s to make AI safe and predictable enough that leaders can say yes with confidence.
What If We’re Not Even Sure We Want To Use AI Yet?
That’s completely fine. Many organisations start with a conversation to understand what’s already happening internally, where the real risks are and what (if anything) is worth doing next. There’s no requirement to ‘commit to AI’. The first step is usually clarity, not adoption.
How Is This Service Delivered?
This is an ongoing, managed service, not a one-off AI project. It’s designed to stay current as capabilities, tools, risks and expectations change.
Can You Help Us Find Out If Our Team Is Using AI Tools Without Us Knowing?
Yes. We can help identify and report on shadow AI use, where staff are using AI tools informally or outside agreed processes. This provides visibility into what tools are being used and how they’re interacting with data. To do this properly, we need appropriate access to relevant systems so monitoring and reporting can be done accurately and responsibly.
What Risks Is This Designed To Prevent?
The most common failure modes include: cyber incidents and security exposure, data or intellectual property leakage, privacy or workplace compliance issues, reputational damage when AI outcomes can’t be explained and uncontrolled shadow AI that nobody owns. Most AI problems don’t come from the technology itself: they come from lack of visibility, accountability and guardrails.
Can You Help If We Already Have AI Tools In Use?
Yes and this is very common. In many cases, the first step is regaining visibility and control: understanding what tools are already in use, what they can do and shaping adoption into something sustainable and defensible. Managed AI Services works just as well for organisations that have already begun as it does for those starting fresh.
What AI Platforms Can This Be Applied To?
The governance model that underpins our service is platform agnostic. It can apply to any AI model, including AI built into other applications. The same governance and accountability principles apply regardless of platform.
Which AI Platforms Do You Actively Work In?
We primarily deliver technical AI services within the Microsoft AI ecosystem, including Microsoft 365 Copilot, Copilot Studio and Azure AI and Azure AI Foundry. This allows us to operate inside your Microsoft 365 tenant boundary and apply controls consistently across identity, data and access.
Which Should We Use: Claude Or ChatGPT?
For most organisations, we recommend Microsoft Copilot. It offers a strong balance of capability, security and governance by accessing both OpenAI and Anthropic models, operating within your Microsoft 365 environment and working directly with your organisation’s data without external integrations. We’re not rigid on platforms as the right choice depends on context, but Copilot is often the most practical starting point for most small and medium businesses.
