Agentic AI, Claude, Microsoft Copilot, ChatGPT — the opportunity is real. Allow us to help you assess AI tools and vendors through our Technology Impact Assessment framework, then plan a safe, secure way to capitalise on AI — automating workflows, reducing errors, improving profitability, enhancing customer experience, enabling your teams and more.
AI is now built into your operating system, your Microsoft 365 and Google apps, your phone and the everyday tools your team already uses. It's here whether you planned for it or not. Our AI Data Guard (below) puts the guardrails and governance around it — so you capitalise on AI safely, instead of hoping for the best.
Staff can use AI productively — while sensitive client and company data is blocked from leaving your control.
This isn't hype. Set up properly, agentic AI takes real work off your team's plate and drives real results. A few examples we're helping businesses put to work:
Your accounts team receives an invoice from a known supplier — but the bank details have quietly changed. An AI agent reviews every invoice against past payments and vendor records, flags the mismatch instantly, and stops the payment before a cent leaves your account.
Prevent invoice fraud & protect your cashAI-backed web chat that understands your services, pricing and process just like a trained employee — engaging prospects the moment they land, answering real questions, and guiding them through your funnel, day or night.
Capture & convert more leads, 24/7Exciting, isn't it? Our role is to help you capitalise on this safely — assessing each tool and vendor, then setting it up right. That's the Technology Impact Assessment.
The catch: your team is probably already pasting company information into AI tools. Capturing the upside means handling the risks too — which is exactly what we take care of.
We don't sell you an AI product. We're the trusted IT partner who helps you find where AI adds value — and make sure it's safe for your business.
Where could AI genuinely help you — and which tools are you curious about? We start with the opportunity, no jargon.
We weigh the value each tool and vendor can deliver against its security, data handling, privacy and compliance for your business.
Clear guidance, plus technical controls — data-loss prevention, access rules and monitoring — so it's safe by default.
Ongoing monitoring and a plain-English verdict as tools and threats evolve.
Technology moves fast, and you're busy running a business. So we proactively keep our clients informed — through regular briefings and newsletters that cut through the hype.
A non-technical guide to the business applications of AI — no jargon.
We'll tell you whether it's safe, set it up properly if it is, and keep your team informed either way. Start with a free IT Health Check.
AI is suddenly in every headline, every product and — whether you've noticed or not — probably already in your business. This is a plain-English tour of what it actually is, how you interact with it, and how to put it to work safely. No maths, no jargon.
Forget science-fiction robots. The AI everyone's talking about is, at its heart, a very sophisticated pattern-prediction tool. It has been trained on enormous amounts of text and data, and it's brilliant at recognising patterns and producing a likely, useful response. It isn't conscious, it doesn't "understand" the way a person does, and it isn't looking facts up in a database — it's predicting what a good answer looks like.
The best-known AI tools — ChatGPT (from OpenAI), Claude (Anthropic), Google Gemini and Microsoft Copilot — are all powered by something called a Large Language Model, or LLM.
Here's the simplest way to picture it. During training, the model reads a vast slice of the internet and books, and learns the statistical relationships between words — stored as billions of tiny numbers called "weights." When you ask it something, it uses those weights to predict the next word, then the next, then the next — stringing them together into sentences. It's a bit like the predictive text on your phone, but astonishingly more capable.
They overlap a lot, but each has a sweet spot. A quick, non-technical cheat-sheet:
| Tool | Best at | Good to know for business |
|---|---|---|
| ChatGPT OpenAI | The versatile all-rounder — writing, brainstorming, analysis, coding, and generating images. | Huge ecosystem and custom "GPTs." Use the Team or Enterprise plans for proper business-data protection. |
| Claude Anthropic | Careful writing, reasoning and coding, and working through long documents — with a strong safety focus. | Excellent for contracts and detailed analysis. Doesn't create images. Claude for Work adds team controls. |
| Microsoft Copilot Microsoft 365 | AI inside your Microsoft 365 — Word, Excel, Outlook, Teams — working on your own company data. | Respects your existing permissions. Now runs on a choice of models (including OpenAI's and Anthropic's Claude) and is gaining agents that carry out multi-step work for you. |
| Google Gemini Google Workspace | AI inside Google Workspace — Gmail, Docs, Sheets, Meet — and strong with images, audio and video. | The natural fit if your business runs on Google. Also works within your Workspace data and permissions. |
| Perplexity | An "answer engine" — research questions answered from the live web, with its sources cited. | Best when you need current information and want to see exactly where the answer came from. |
AI moves fast, and these tools blur together more every month — treat this as a current snapshot, not the final word.
A common source of confusion. The language model only deals in text. Making pictures is a separate skill that some providers have added and others haven't. OpenAI has bolted an image generator onto ChatGPT, so it can produce images; Google can too. Claude, by contrast, is focused on text, reasoning and analysis — it can look at an image you give it and describe or analyse it, but it won't create one. So the differences you notice between tools are usually about the extra capabilities each company has built and connected — not the raw "intelligence." (Capabilities change fast, so treat this as a snapshot, not a permanent rule.)
Until recently, AI mostly answered questions. The big shift now is agentic AI: AI that can take actions and complete multi-step tasks on your behalf. Instead of just drafting an email, an "agent" can read the incoming message, draft the reply, update the customer record and book the follow-up — using your other software to actually get things done. It's genuinely powerful, and it's exactly where guardrails matter most, because you're now letting AI act, not just suggest.
There are broadly two ways AI shows up in a business, and the difference is huge for your data:
Outside your tenant. A staff member opens a public chatbot — say the free ChatGPT or Claude — and pastes something in to get help. Convenient, but whatever they paste has now left your control, and on consumer plans it may be stored or used to improve the model. That's how confidential client data quietly walks out the door.
Inside your tenant. Microsoft 365 Copilot and Google Gemini run within your own Microsoft or Google environment. They work off your business's own data, respect the security and access rules you already have, keep your information inside your compliance boundary, and — on business plans — don't use your content to train public models. For professional and regulated firms, keeping AI inside your tenant is usually the safer default.
Here's the part most businesses miss. Copilot and Gemini can see everything the person using them already has access to — no more, no less. The problem is that in most organisations, permissions have grown messy over the years. Staff can often technically reach files they'd never actually go looking for: employee contracts, salaries, board financials or HR records sitting in a forgotten SharePoint folder.
Turn Copilot on for everyone overnight and someone can simply ask — "what does everyone here get paid?" — and it may cheerfully surface documents they never knew they could open. The AI didn't break any rules; it just made existing over-sharing instantly discoverable.
The businesses winning with AI aren't the ones who moved fastest; they're the ones who moved deliberately. In practice that means: start with a real problem worth solving; pick the right tool (ideally one that lives inside your tenant); get your data and permissions in order first; set clear guardrails and train your team; and keep a human checking anything that matters.
That's precisely what our Technology Impact Assessment is for — we help you find where AI genuinely adds value, check each tool and vendor for safety, and set it up so you capture the upside without the exposure.