Services
AI Services
Practical AI inside the tools your team already uses, deployed with the same care about where your data goes that we apply to everything else.
What this covers
- Microsoft 365 Copilot deployment
- AI governance and data-boundary review
- Workflow automation
- Staff training and adoption
Start with the data boundary
The first question with any AI tool is what it can see and where that goes. For a business handling regulated or contractual data, that question comes before the capability question, not after it.
It is also the question a vendor demo is structured to avoid. The demo runs on a tidy sample tenant. Your tenant is not tidy, and that difference is the whole project.
Copilot inherits your permissions — including the wrong ones
This is the finding that surprises people, and it is the single biggest reason Copilot rollouts go badly.
Copilot respects existing permissions. It will not show anyone a file they could not already open. That sounds reassuring until you consider what it means in practice: it can surface anything a user already had access to but would never have found. The HR folder shared to the whole company in 2019. The board deck in a Team nobody restricted. The salary spreadsheet in a SharePoint site created for one project and never tidied.
None of that is a Copilot flaw. It is years of accumulated oversharing that was safe only because it was buried, and a good search tool is precisely what stops it being buried. Turn Copilot on across a tenant nobody has audited and you have not created a permissions problem — you have made an existing one legible to everyone in the building.
What has to be true before you buy licenses
The readiness work is unglamorous and it is most of the value:
Find the oversharing. Sites and libraries with company-wide access, links shared to anyone, permissions inherited from something long forgotten. This is the one that decides whether a rollout is safe.
Decide what is sensitive and label it, so the classification exists in the tenant rather than in someone's head.
Sort out retention and lifecycle, because content nobody deleted is content that can now be found and cited.
Then pilot with a group, and only then decide how many licenses you actually want. Buying for everyone on day one is how organizations end up paying for a capability three people use.
Shadow AI is already happening
Whatever you have decided about AI, some of your staff have decided something else. Contracts, customer data and draft proposals are being pasted into consumer chatbots right now, in most businesses, by people trying to do their jobs faster.
Prohibition mostly relocates it. What works better is giving people a sanctioned tool that is good enough, saying plainly what may and may not go into it, and making the approved route the easy one. A policy nobody can follow is worse than no policy, because it converts a manageable problem into an invisible one.
Adoption, not just deployment
Turning a feature on is not the same as anyone using it. Training and workflow design are the part that determines whether the license was worth buying.
The pattern that works is narrow and specific: pick the two or three tasks a given team does constantly — meeting notes and follow-ups, drafting a first pass of a recurring document, summarising a long thread — and teach those. Handing people a general-purpose assistant and hoping produces a burst of curiosity followed by nothing.
It is also worth agreeing in advance what would count as it having worked, because the alternative is a renewal conversation where nobody can say either way.
If you are a defense contractor, check before you assume
AI capability in the government clouds does not track the commercial version. Feature availability, release timing and which services are covered all differ, and they change often enough that anything you read six months ago may be wrong now.
Verify what is actually available in your environment rather than planning from a commercial feature list — and if CUI is in scope, what an AI tool may process is a boundary question first. Which environment you are in shapes the answer more than the tooling does.
Common questions
Is our data used to train someone else's model?
That depends entirely on which tool and which licensing tier, and it is exactly the kind of thing worth establishing in writing before rollout rather than after. We review it as part of the engagement. The distinction that matters most is between a consumer tool and a licensed business service, because they typically make very different commitments about your content.
Will Copilot show people files they should not see?
Not strictly — it respects existing permissions and will not surface anything a user could not already open. The catch is that most tenants have permissions nobody has audited in years, and content that was safe mainly because it was hard to find. Copilot is very good at finding things. So the honest answer is that it will not create a permissions problem, it will make an existing one visible, which is why the oversharing review comes before the licenses rather than after the incident.
What do we need to do before buying Copilot licenses?
Review where content is overshared, decide what is sensitive and label it, get retention under control, and pilot with a small group. That order matters. The readiness work is most of the value and almost all of the risk reduction, and it also tells you how many licenses you actually want — which is usually fewer than the number in the initial proposal.
Can we use AI tools in GCC High?
Availability in the government clouds differs from commercial, and it moves. Rather than answer from a feature list that may be out of date by the time you read it, the right step is to verify what is available in your specific environment before planning around it. If CUI is in scope, what an AI service may process is a boundary question before it is a capability question.
Our staff are already using ChatGPT. What should we do?
Assume it is happening, because it usually is, and start from there rather than from a ban. Prohibition tends to relocate the behavior rather than stop it, and an invisible problem is worse than a managed one. A sanctioned tool that is good enough, a plain statement of what may and may not go into it, and making the approved route the easiest one will get you further than a policy nobody can follow.
The other things we do
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Managed IT Services
We take responsibility for your systems. Unlimited helpdesk, proactive maintenance, and status monitoring, so your team stops losing hours to technology that should just work.
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Compliance & CMMC
CMMC Level 2 readiness and Microsoft GCC High / Azure Government environments for the defense supply chain, built so evidence of every control is ready to produce.
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Cyber Security
End-to-end protection built on a zero-trust approach: we map normal activity and act on the outliers, rather than waiting to be told something has gone wrong.
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Cloud Solutions
Microsoft Azure, Azure Virtual Desktop, and Microsoft 365 — designed, migrated, and run by engineers who hold the certifications for all three.
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Backup & Disaster Recovery
Backups you have actually tested and a disaster recovery plan that has actually been rehearsed. It takes ten years to build a business and one bad day to lose its data.
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Web Development
Websites built to be fast, findable, and owned by you — treated as infrastructure to be maintained rather than a project that ends at launch.
Get in touch
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