Before you switch AI on, make sure it can only see what it should. We review your data, permissions, security and people, find the use cases worth doing first, and give you a safe, costed roadmap.
Our own business runs on AI assistants and private agents. We deploy what we use every day.
Every rollout starts with permissions, testing and monitoring - so AI only sees what it should.
Business plans, local models and on-premise options keep your data out of other people's training sets.
We can coach your team to do it, or implement it quickly and support it for you.
Three ways to start safely with one solution, then the full AI Readiness assessment when you are ready to look at the whole business. Prices exclude VAT.
A one-off check of the system you want to connect AI to, with an executive summary report.
The Core assessment run continuously, with Secure Score monitoring and a full gap analysis report.
Whilst certainly not recommended, technically connecting AI is often simple. If standard connectors exist, we can deploy these for one of your systems (API or MCP) once your board has approved the access.
A full environment assessment and strategic engagement on how AI would best work for your business.
Connecting AI to your business systems has never been easier. Ready-made connectors, MCP servers and one-click integrations mean anyone in your team can link an AI tool to email, files, cloud storage or line-of-business apps in minutes.
That ease does nothing to reduce the cost or the data privacy risk. An AI tool connected without guardrails can read data it should never see, send it somewhere you have not approved, and run up cloud bills nobody signed off. The liability sits with your business, not with the AI vendor.
It only takes one prompt"I just asked AI to search the internet and download cat videos. I didn't know there were 20 million of them, and our Azure storage went up 1,000x overnight."
Is your board happy to pay the bill?
Before any AI connection goes live, your board should know what it can access, what it could cost and who carries the liability. AI Readiness Core checks exactly that for the system you want to connect, including a cost guardrail review.
AI assistants can see whatever a user can see. We find overshared files, sites and mailboxes before AI surfaces them.
Vulnerability scanning and penetration testing, so the systems AI connects to are sound.
What you already own (Microsoft 365, Google Workspace, line-of-business apps) and which AI fits it.
An AI acceptable use policy, approved tools, and the skills your team needs.
Workshops with each team to find the tasks where AI saves real hours - ranked by value and risk.
UK GDPR, client confidentiality and where data is processed, documented before rollout.
Plain-English guides for business owners. Free to download and share, no sign-up.
Why connecting AI and agents to Microsoft 365, SaaS or servers is a high-risk change, who carries the risk, a pre-connection checklist and the safe route to production.
What AI-built apps get wrong, the research behind it, GDPR, a go-live checklist and how to get your app production-ready.
Most small and mid-sized businesses take two to four weeks from kick-off to roadmap, depending on the number of teams and systems.
No. We work with Microsoft 365, Google Workspace and mixed estates, and recommend the AI that fits what you already use.
Oversharing. AI assistants surface anything a user has access to, so loose permissions become visible overnight. Fixing access first is the single most important step.
Tell us what you want AI to do for you and we will show you the safest, quickest way to get there - no obligation.
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