by Richard Jones | Oct 5, 2026 | Uncategorised
A conversation I’m having more often with business owners goes something like this: “We don’t really use AI yet.”
A few questions later, it turns out somebody is using ChatGPT to help write emails.
Someone else is summarising meeting notes with an AI tool.
Another person has found a browser extension that helps them create content faster.
The business may not have formally adopted AI, but AI has arrived anyway.
That’s not surprising.
When people find a tool that helps them get through their work more quickly, they’re going to be curious about it. If it saves time, they’ll keep using it.
The difficulty comes when nobody has stopped to agree where the boundaries are.
Imagine a member of your team receives a long customer email and pastes it into a public AI tool to help draft a reply.
The response comes back in seconds and saves them fifteen minutes of work.
Tomorrow they do it again.
A week later they upload a proposal because they want a summary.
A month later somebody else is using a different AI tool to analyse a spreadsheet.
At no point does anybody feel they’re doing something risky. They’re trying to work more efficiently.
Yet customer information, financial data, internal documents, and business plans can end up being shared with systems that haven’t been reviewed or approved by the business.
That can happen without any bad intentions.
I’ve also noticed that AI spreads differently from other technologies.
A new accounting package usually goes through a buying process. A new CRM gets discussed before it arrives. But AI tools are discovered by individuals during the working day and adopted immediately.
By the time a business starts thinking about an AI policy, people may already have their favourite tools and workflows.
That creates an awkward situation.
If somebody believes a tool is helping them do their job better, they may not understand why they’re being told not to use it.
Quite often, they feel they’re solving a problem rather than creating one.
So, to get the most value from AI, have open conversations about it.
Make sure your team all understand which tools are being used, where information is going, and what data should never be shared outside approved systems.
That gives people enough freedom to benefit from the technology without accidentally creating risks for the business.
If you’ve never asked your team which AI tools they’re using, the answers might surprise you.
It’s a good place to start.
If you’d like help reviewing how AI is being used across your business, and making sure it’s helping rather than creating risk, get in touch.
by Richard Jones | Sep 28, 2026 | Uncategorised
AI was supposed to remove repetitive work.
In some businesses, though, something different is happening.
People are spending large parts of their day moving information between systems so the AI can function properly.
Copying notes from one platform into another, checking whether data matches in different apps, rewriting prompts to give an AI tool more context, and manually correcting outputs that almost worked, but not quite.
Sound familiar?
There’s a name for this: Human middleware.
Employees end up acting like the glue holding disconnected systems together.
Once you notice it, you’ll start seeing it everywhere.
Someone downloads information from one system because another can’t access it directly.
A team member pastes customer details into an AI tool to generate a response, then copies the finished result somewhere else.
Data gets checked manually because nobody fully trusts what the systems are producing automatically.
It eats away at time.
The strange thing is that businesses can still feel more productive overall while this is happening.
AI genuinely does help people move faster in many situations. Emails get drafted quicker, reports take less time, and information becomes easier to summarise.
But new layers of admin appear around it.
AI tools often arrive faster than the systems underneath them evolve. A company adds one assistant here, another automation there, a separate AI-powered feature somewhere else… but the tools don’t naturally connect in a smooth way.
So, people bridge the gaps manually.
That creates an odd working environment where employees spend increasing amounts of energy translating between systems instead of doing the work those systems were meant to support.
And that can quickly become exhausting.
You end up with busy days that feel productive on the surface, but a lot of effort is going into coordination rather than progress.
If systems don’t integrate properly, if data quality is inconsistent, or if processes still rely heavily on manual handoffs, AI can sometimes layer extra complexity on top rather than removing it.
That’s why you may need to approach it differently.
Instead of adding isolated tools everywhere, focus on how information moves through the business.
Look at where data lives, how systems connect, and whether people are still spending too much time acting as the translator between technologies.
Ultimately, your team shouldn’t be spending their day helping software talk to other software.
They should be spending their time solving problems, helping customers, making decisions, and doing the work that creates value.
If your employees are constantly switching between apps, correcting AI outputs, or manually stitching workflows together, that’s a sign the technology strategy needs tightening up a little.
Is it time you reviewed your technology to make sure it’s reducing workload, rather than creating more of it behind the scenes? We can help. Get in touch.
by Richard Jones | Sep 21, 2026 | Uncategorised
Most cyber security tools work reactively.
Something suspicious happens, the system spots it, and then tries to stop the damage before it spreads.
That’s incredibly important.
But Microsoft is working on something that pushes much further: Using AI to find weaknesses before attackers discover them.
The new system is called MDASH, and the idea behind it is genuinely interesting.
Microsoft has built a platform that uses more than 100 specialised AI agents working together to search for hidden security flaws inside Windows.
These agents are designed to inspect different parts of the system, test for weaknesses, and flag potential vulnerabilities automatically.
Simply put, Microsoft is using AI to hunt for security holes at a scale humans simply couldn’t manage alone.
And it appears to be working.
During testing, the system reportedly uncovered multiple previously unknown vulnerabilities inside important parts of Windows.
This included flaws that attackers could potentially have exploited remotely over the internet.
Some of those vulnerabilities were considered critical.
These are the kinds of weaknesses that, in the wrong hands, could potentially allow attackers to take control of systems or run malicious code.
What makes this more impressive is the accuracy.
One of the biggest problems with AI-driven security tools has always been false alarms.
Systems that flag hundreds of “possible issues” which turn out to be nothing. That creates noise, wastes time, and makes security teams less effective.
Microsoft claims MDASH has been unusually good at avoiding that problem while still finding genuine risks.
Now, before anyone assumes AI is about to solve cyber security completely, it’s important to keep this in perspective.
This technology is mainly being used internally by Microsoft engineers now.
It’s still early days, and even if these systems become more widely available, they won’t suddenly replace the fundamentals that keep businesses safe.
Because most cyber attacks still succeed through ordinary gaps:
- Weak passwords
- Unpatched systems
- People clicking the wrong link
- Poor access controls
- Missing backups
Those remain the biggest risks for most businesses today.
AI-driven security tools may eventually become a powerful extra layer of protection, especially for large organisations managing huge and complex systems.
The idea of intelligent agents constantly scanning for hidden weaknesses before criminals find them is a very promising direction for the future.
But the basics are more important right now.
A fully patched system with strong passwords, multi-factor authentication, good backups, and sensible user awareness training will protect most businesses far better than chasing the latest AI security trend without solid foundations underneath it.
The future of cyber security probably will involve more AI working behind the scenes, both defending systems and, unfortunately, helping attackers too.
But while the technology evolves, the core principles of staying safe haven’t changed.
Good security still comes down to reducing risk, limiting opportunities for attackers, and making sure the simple things are consistently done well.
If you want to make sure your business security is up to scratch, we’d be happy to help. Get in touch.
by Richard Jones | Sep 14, 2026 | Uncategorised
Are you tired of that slight pause when you open something on your PC and it takes just a fraction longer than you expect?
It’s not enough to stop you working, but it is enough to irritate you for a moment.
That’s the sort of thing Microsoft is fixing right now in Windows 11.
In recent months there’s been a focus on improving the overall feel and responsiveness of Windows, rather than simply piling in more features.
And honestly, I think it’s the right priority.
The latest work happening behind the scenes is all about making core parts of Windows faster and smoother to use.
A big part of this centres around something called “WinUI”. You can safely forget the name after reading this, but it helps to understand roughly what it is.
WinUI is the framework Microsoft uses to build the visual side of Windows apps and interface elements.
It controls how things look and behave on screen. File Explorer, menus, settings windows, and many built-in apps all rely on it.
Microsoft has been gradually modernising Windows 11 using this framework, but now it’s also trying to make the framework itself run more efficiently.
When the foundations get faster, everything built on top of them benefits too.
The company has been testing improvements using tools like File Explorer and Notepad as benchmarks. File Explorer, for example, is the part of Windows you use constantly to browse files and folders.
According to Microsoft’s engineers, they’ve managed to significantly reduce the amount of background work Windows has to do when launching these apps.
Less unnecessary processing means things should open more quickly and feel more responsive.
You probably won’t see dramatic “twice as fast” changes overnight. This is more about shaving off small delays across lots of everyday actions. Opening folders, switching windows, launching apps, etc.
Across an entire workday, these moments quickly add up.
There’s also another interesting part to this story.
Microsoft’s different Windows teams appear to be working together more closely than they used to.
That might not sound exciting, but when separate teams optimise different parts of the system in isolation, progress can feel inconsistent.
What’s happening now seems more coordinated.
And it’s improving how the whole experience fits together.
There’s also work being done on something called “low latency”, which basically means reducing the delay between you doing something and Windows responding to it.
Again, not glamorous… but noticeable when done well.
People work faster when systems feel responsive. Frustration drops, small interruptions happen less often, and everything feels a little smoother and more predictable.
And that’s what good technology should do.
If your business PCs are starting to feel sluggish, or you’re not sure whether your hardware is getting the best out of Windows 11, we can help. Get in touch.
by Richard Jones | Sep 7, 2026 | Uncategorised
Most businesses have a handful of phone calls that happen time and again.
“What time do you open?”
“Can I change my appointment?”
“Has my order been dispatched?”
“Can somebody call me back?”
Of course, these are all normal questions for someone who doesn’t know the business.
But when your team answer the same things all day, it eats into time that could be spent on more valuable work.
That’s why AI voice assistants are getting so much attention right now.
And no, I’m not talking about the old “Press 1 for sales, press 2 for support” systems that everybody hates.
This is something different.
Modern AI voice assistants can hold a natural conversation with a caller.
Instead of forcing people through rigid menus, they let callers explain what they need in their own words.
The system listens, understands the request, and responds accordingly.
In many cases, the caller doesn’t even realise they’re speaking to AI right away.
That’s a big step away from traditional phone automation.
Older systems often fall apart the moment somebody says something unexpected.
AI voice assistants are designed to handle more natural back-and-forth conversations. The better ones can connect directly into your business systems as well.
So instead of simply answering questions, they can do things like:
- Book appointments
- Check account information
- Update tickets
- Send confirmations
That can make a big difference for businesses handling a high volume of routine calls.
But before you rush to replace your customer service team with AI, take a moment.
This technology works best in specific situations.
If your business receives lots of repetitive, predictable enquiries, an AI voice assistant could genuinely save time and reduce pressure on your team.
Customers get answers faster, staff spend less time repeating themselves, and people are freed up to deal with the conversations that need human judgement.
Where things become harder is when conversations are emotional, complex, or unusual.
A frustrated customer with a billing dispute probably still wants a person. Someone dealing with a sensitive situation doesn’t want to feel trapped inside an automated process.
It’s a good idea to start small.
Rather than automating everything, identify one narrow area where AI can help reliably. Maybe appointment bookings. Maybe basic account queries. Maybe overflow calls outside office hours.
That approach gives you room to test what works without disrupting the wider customer experience.
There’s another side to this as well, and it’s important.
If an AI voice assistant is accessing customer data, recordings, calendars, or internal systems, security and compliance are important.
You need to know where that data is stored, who can access it, and how the system connects into your existing tools.
And not every platform handles this equally well.
Some sound impressive in demos but struggle badly in the real world when there’s background noise, strong accents, industry jargon, or unexpected questions.
Others create more work behind the scenes because they don’t integrate properly with the systems you already use.
Choosing the right setup is more important than choosing the cheapest option.
AI voice assistants will become genuinely useful over the next few years. The technology is improving quickly, and in the right environment, it can remove a lot of repetitive work.
If you’re curious whether an AI voice assistant could work in your business, we can help you explore things carefully. Get in touch.
