Where exactly should you start with AI in your business?

It is one of the most common questions we hear from directors across Jersey. And most of them already know something is wrong. There are hours being lost somewhere. Processes that take longer than they should. Work that sits in someone’s inbox for days before it moves. You can feel the friction even if you can’t name it.

The problem is that “where do I start with AI” is often answered before the question is even finished. Someone buys a tool.

A set of Copilot licences gets approved. An “AI-powered” CRM gets demoed because a competitor mentioned it at a networking event. A chatbot gets bolted onto the website. And then, almost immediately, everyone goes looking for a problem that the tool can solve.

That is the wrong way round.

The tool was never the hard part. Working out where it earns its keep is. Start with a tool and you usually end up with a licence nobody uses, a team that never quite got trained on it, and a vague sense that AI didn’t live up to the hype. That story is more common than most businesses would like to admit.

The shift that actually works is simpler than it sounds. Find where time and money are leaking first. Then decide what to build.

A method, not a guess

The challenge with finding AI opportunities is that it can feel overwhelming. There are dozens of things you could automate. How do you know which ones are worth the effort and which ones are a distraction?

Guessing won’t cut it. You need a method. At Blue Llama we use two simple frameworks that we apply with every business we work with. Together they take you from a vague sense that something could be better, to a ranked shortlist of opportunities with a clear sense of what each one is worth.

The first is RIPE. It helps you spot the candidates worth investigating. You are looking for work that ticks four boxes.

Repetitive: it is high volume, done again and again, often by multiple people across the team. Irritating: it drains time and goodwill, the kind of task nobody puts their hand up for. Predictable: it follows clear rules and does not require much human judgement to get right. And Entry friendly: it already lives inside the tools your team uses every day, which means you are not asking anyone to learn a new system from scratch.

Score a task against those four criteria and you quickly get a sense of what is worth a closer look and what is not. The tasks that light up across all four are almost always the best place to start.

Once you have a list of candidates, TRIM helps you rank them by the value of actually fixing them.

T is for Time drain: how many hours per week or month is this task consuming across the whole team? R is for Risk exposure: what happens if this task goes wrong, gets delayed, or falls through the cracks? I is for Impact on scale: is this task a bottleneck that limits your ability to grow? And M is for Money: what is the actual pound cost of leaving it exactly as it is, year after year?

By the end of that exercise you do not have a wish list. You have a ranked shortlist with a number attached to each item, which makes the conversation about where to invest a lot more straightforward.

What this looks like in practice

Frameworks are only useful if they work in the real world, so here is an example of both in action.

A Jersey recruitment agency we worked with had a task that everyone on the team quietly dreaded. Every time a new candidate came through, their CV had to be reformatted into the agency’s house template before it could go to a client. Every CV, by hand. Depending on the format it arrived in, that could take anywhere from thirty minutes to over an hour.

It did not sound like a big deal on paper. But when you multiply it across the number of CVs they were processing each week, the hours added up fast. And because it was time-consuming and repetitive, it was also the kind of job that got pushed to the end of the day, which meant delays in getting candidates in front of clients.

Run it through RIPE and it lights up immediately. Repetitive, yes. Irritating, absolutely. Predictable — the desired output format barely changes from one CV to the next. And entry friendly, because the whole process already sat inside the tools the team used every day.

So we built them an assistant inside Microsoft Teams, designed around the way they already worked rather than asking them to adopt a new platform. A consultant drops in a CV and gets it back in the correct format in under five minutes. No manual reformatting. No end-of-day backlog.

That is hours a week handed back to people who would rather be speaking to candidates and clients than wrestling with document formatting.

And critically, none of it started with a tool. It started with spotting the right job, running it through a simple framework, and being honest about what it was actually costing the business.

Where the opportunities tend to hide

Over the last eighteen months the team at Blue Llama has worked with businesses across Jersey spanning finance, legal, property, charities and beyond. The sectors are different but the underlying pattern is remarkably consistent.

The opportunities almost never show up in the obvious places. They tend to be buried in the day-to-day. Things like customer service queries that follow the same pattern every time. Onboarding processes that involve copying the same information between three different systems. Document processing that could be handled in seconds but currently takes an afternoon.

What makes these tasks easy to overlook is that they have usually been around for a long time. They are bespoke to your business, built up gradually over the years, and because everyone has just got used to doing them a certain way, nobody stops to question whether they still need to be done that way at all.

That is exactly where we focus. We build solutions around the existing manual process rather than asking businesses to change how they operate to fit a new system. The goal is always to reduce the friction your team feels every day, free them up for work that actually needs their expertise, and make sure that whatever we build delivers a clear, measurable return.

If any of this sounds familiar, that is usually a good sign that there are opportunities worth uncovering in your business too.