How AI can power your business strategy in 2025

AI isn't the future — it's happening before our eyes

And if you haven’t already seen, it's revolutionising everything.

The computational power we’re allowed to borrow (for free) means there’s almost nothing it can’t solve. But its huge datasets are where it really shines.

AI is essentially a vast library granting instant access to the best of humanity throughout time. Its words are the ghosts of millions of the best and brightest, and now we have access to all of this, the possibilities are nearly endless

You likely already know all this, but have you used it to its full potential to help manage your business strategy?

Rather than a competitor to what we can do as humans, I prefer to think of it as an auxiliary that we can outsource to. By building it into the way we work, our businesses get the maximum benefit.

If you aren’t already utilising AI to help your business, you should be. It isn’t a question, it’s a fact — because everyone else is, and it’s not something you want to fall behind on.

So let’s go through a few basic ways to incorporate the future of AI into your business planning.

AI for customer service

Most of us probably had our first taste of AI as ‘the talking robot’. The kind that could have stepped right from the pages of H.G. Wells or Michael Crichton. Asking and answering complex questions, and proving to be more adept at it than regular searches had managed up to that point.

So it makes sense to first explore the idea of employing it in that conversational role within your business. Skilled at handling customer service, adapting to the customer's vernacular, and employing what some now see as its trademark empathy, it can achieve “almost human” levels of intuition (but is actually predictive based on the patterns of billions of other data points).

Implementing AI concierge

AI like this can be a brilliant option for small businesses unable to employ a real customer service team, or even to get more from an existing team by solving basic problems without elevating the enquiry to human support. It's just a little helping hand by a machine that brings your FAQs to life.

And it needn’t cost the earth either. There are many off-the-peg options that could help you, and you can try some of them for free.

Spaceship’s Alf — a case study

Have you met Alf yet? Our friendly (and incredibly helpful) AIassistant.

What sets Alf apart is how it takes this basic idea of AI for customer service and makes it so much more. Alf helps our customers with more than just enquiries by virtue of being fully integrated with our platform.

Alf can do everything from helping customers find domain names to performing some of the (formally) more complex tasks associated with domain management — like switching nameservers or changing DNS Records. It’s this contextual help that makes it excel over a more straightforward concierge system.

Obviously, Alf is bespoke for Spaceship, but it’s one of many new systems cropping up that challenge the idea of what an AI assistant can do when fully integrated. We’ll talk more about these later. Starting out with customer concierge is a strong move if you want something off-the-shelf.

It’s also worth mentioning that Alf is a supplementary support service with our real team of humans. Balancing AI with human customer support offers a ‘best of both worlds’ scenario.

Customers get fast, reliable responses and intelligent suggestions from Alf, but are transferred for more complex queries, which allows for better response times across the board.

AI for insights and analytics

The vast computational power and trillions of data points might make AI good at emulating humans, but it is also the most powerful computer most of us have ever had free access to.

I recently asked Microsoft’s Copilot how much computational power it takes to answer a simple question. Ironically, the answer to this isn’t straightforward, but here’s the gist: AI models don’t just retrieve facts. They generate responses by analysing patterns across massive datasets. In plain English, even a “simple” question can require more computing power than most of us are ever likely to own privately.

My advice is, make the most of this gift (while it lasts). All that business data you’ve been collecting to analyse later… Why not let AI do it? You’ll want to upload a properly structured CSV file (rather than verbally describe what you’re after) for the best chance of success, but if there’s something you want to extract from the data, the chances are, it can do it for you.

What follows are just a few examples of the near-limitless possibilities. Unsure if AI can help with what you have in mind? Just ask it!

Examples of AI data-crunching

Key takeaways

You’ll notice in the above examples that many of the offerings seem impressive — or even too good to be true. Could it really help you negotiate with suppliers?

Well, yes and no. By easily putting data at your fingertips, it can help you almost infinitely. As the old adage goes, knowledge is power, so coming up with suggestions is always a good thing — as long as you're able to discern which ones are realistic and actionable! If you don’t feel able, that’s easy: Just ask AI to drill deeper. One thing it’s great at is breaking things down until you understand them.

Where data analysis may have historically focused on being either quantitative or qualitative, the dexterous nature of AI means it can easily offer both simultaneously, bringing real-world meaning to your data.

For example, you might want to ask it why your Q2 earnings were down, and it will look outside your data, drawing insight from the reported experiences of millions of businesses like yours. It could pull in economic factors (both local and global), and tell the story that brings your data to life before your eyes, giving it broader context with the world around you. A factor that can sometimes be forgotten if we get too stuck in our own echo chambers.

It’s also worth remembering that AI is always there, so if the smallest change occurs, or you get further context for some numbers, you can simply ask it to reassess, totally free.

Dedicated data analysis tools

While the likes of ChatGPT can help with exploring and summarising data, it's not a full replacement for dedicated analytics platforms when it comes to heavy data crunching and live dashboards.

You might want to explore systems like Microsoft’s Power BI, Google’s Looker, or Apache’s Superset for more detailed analytical deep-dives.

All three of these tools were born before the age of AI, but all now have AI enhancements (although Superset requires you to download additional plugins for this). By integrating AI directly, like Alf, it is very capable in it's sphere.

AI for qualitative analysis in marketing

That just about covered numerical data, but what about totally qualitative data?

This is also very interesting, as I can’t think of any tool outside of human interpretation that could really understand qualitative data before AI.

Review feedback — AI can detect recurring themes in what your customers are saying. Because it utilises search as part of this analysis, it may find feedback you haven’t seen before.

Classifying emotions — AI can classify the emotions in qualitative data. You can then ask it to make it more binary (classifying it as positive, negative, or neutral for example), which can enable you to easily quantify qualitative data, if you need it to.

Audience persona— This is a bit “out there”, but AI could use data like that mentioned above to come up with your most common or most likely audience, even defining common characteristics, interests, or personality types.

From here, it could help you better define your business or address issues you might be having with perception. But do be sure to take this kind of thing with a heavy pinch of salt.

AI for logistical solutions and business automation

Next, we come to more general business solutions that could help you with day-to-day activities.

Think about the organisation of your business itself. This could be rostering, scheduling, room management, or shipments. It can even help automate marketing activities. It excels with targeting and personalisation. If you know your demographics, it can help curate emails and social media posts most likely to resonate with each one.

How about rostering? Why not try giving it a list of your employees, their availability, and the hours you need covered to a tool like ChatGPT, and see what it comes up with?

I gave it a similar prompt:

“I'm looking for you to manage a room for me. It's called the Test Suite. It is available Monday to Friday, 9am to 5pm, and slots may be booked by anyone with a company email (name@site.com) for no longer than one hour.”

Immediately, it came back with a solution that had deduced the necessary logic (no double booking, etc), and allowed me to simply input names and times — it would sort the rest for me. Need to know vacant slots? No problem. Want a summary of all current bookings? Here it is. Easy, intuitive, and reliable.

However, when I drilled down, it transpired that this tool would only be stored within the current conversation and potentially become available after it was closed (although I did find it in conversation history). Perhaps not such a great solution then.

When I highlighted this issue, GPT said it could guide me through recreating its tool in Google Sheets or a number of other apps. Kind of neat in itself, but it also takes us nicely onto the next topic. AI as auxiliary add-ons.

AI integrations and add-ons

We've touched on this already with Alf, and you've probably also experienced it firsthand as the apps and software you use every day begin integrating AI tools.

We're going to see much more of it as everyone seeks to keep their tools current in this quickly evolving climate and ensure they stay at the cutting edge of their marketplace. But it’s here AI can start to become useful in more bespoke tasks.

Integration advantages

The advantages of having AI integrated directly into tools are numerous:

• Easy accessibility — No need to flick between screens while you chat to AI in a separate tab.

• Better comprehension — Like Alf, AI is fine-tuned to ‘speak the language’ of the tool or platform, limiting coding hiccups or compatibility issues that might occur if you got suggestions from a general AI.

• Better advice — In tools like Spacemail, Microsoft Office, and Xero’s JAX, the AI has been trained with use-case specifics giving it a deep and specific knowledge of its platform.

Current examples of AI integrations

In my own life, I’ve noticed AI appearing in many apps I use. From Mailchimp to Xero, Google searches to Meta products, the little AI helper bar or icon is becoming increasingly common.

Xero use case

A use case I find to be a good example is in financial management software, Xero. It recently launched JAX, an AI assistant that ‘helps users understand financial activity and automate routine bookkeeping tasks.’

If you’re anything like me, you probably understand accounting about 80% but rely on your financial adviser for the rest. Perhaps JAX can save you troubling them with questions you have, and also save you time and money in the process.

Spaceship’s AI integrations

Here at Spaceship, we’ve begun integrating AI tools to help you every day. Not just with Alf (which is mainly account-level), but we've also integrated AI at a product level to make things more dynamic every day as you use them to build and grow your website:

WordPress AI tools

Our WordPress AI tools (included in Spaceship’s Shared Hosting and EasyWP) incorporate AI writing assistants (for site text like product descriptions) and image generators (to create bespoke images).

It can also help you build a complete website by complementing WordPress itself — which also happens to be the most popular CMS around. AI can now build a site faster, with no coding experience required.

If WordPress isn’t your thing, we also offer SiteJet Website Builder, which has an AI text generator built in, perfect to help you find words for everything you want to say.

AI Website Builder

Taking it a step further, our full AI Website Builder, powered by Brizy, allows you to create a whole website template with just a simple prompt. This includes images, text, layout, and even icons.

Everything is also fully editable after the initial creation. To me, a big part of AI integration is not handing over the reins completely. The moment you do that, things spiral away from your vision, and run the risk of becoming generic. After all, at its heart is an amalgam of what’s been done before.

Spacemail’s AI Assistant

Our email platform, Spacemail, has a new AI assistant that allows you to turn a few basic ideas into carefully-crafted, professional emails. You can choose between a business or informal tone of voice and, once it’s created, you can even ask the AI Assistant to rewrite, shorten, or lengthen the email. This is great for anyone short on time, or who lacks confidence in their words.

Take advantage of integrations

Keeping an eye on this ever-evolving space will ensure you're ready to use them in your organisation as-and-when they become available.

Realistically, utilising these kinds of AI assistants into your routine is, along with conversational AI, perhaps the easiest way to incorporate AI into your business, and potentially get more from employees.

Do I need a .ai domain?

With all this talk of AI, you might be wondering if there’s a strategic advantage to putting it at the heart of your business name (in the domain). An internal look at our own stats might prove a useful insight if you’re thinking about this.

At Spaceship, .ai domain ownership has doubled, year on year, between 2023 and 2025 due to the huge upswing in AI usage globally.

As a percentage of total domains registered at Spaceship, .ai is now at approximately 0.35%, which is impressive given that it is technically the country TLD for Anguilla. Unsurprisingly, due to the massive increase in activity, Google treats .ai as a general TLD — which means, unlike other ccTLDs, there’s no ‘penalty’ for using it (they’re often targeted more heavily towards their country of registration in search results).

The US is well ahead when it comes to .ai, with it accounting for a staggering 18% of new TLD registrations.

Interpreting this data

Based on the data alone, purchasing a .ai domain would be following a definite trend. In terms of strategic advantage, though, it will mainly help if you’re operating in the AI sector. Google, and other search engines, use it as a signal denoting relevance in the industry.

There’s also the human association factor. Many people will associate .ai with exciting start-ups, and AI tech companies. Which leads nicely to the next conundrum:

Should I incorporate customer-facing AI into my business?

As we’ve discussed, adding AI customer service or even tools to your arsenal could be beneficial. You could also fine-tune an existing AI service into your own bot. This differs slightly (but not enormously) from the customer service idea.

Some companies, organisations, or even influencers, have begun training their own bots based on existing AI platforms so it excels at questions specific to their industry. The UK’s NHS is a great example of this, having integrated AI into its patient care at many levels. Meanwhile, in the social media space, an AI Travel Assistant Bot made by popular YouTuber Mentour Pilot has been built to reassure nervous fliers.

So, yes, it’s worth thinking about integrating AI into your business, but don’t make AI a false prophet. Keep putting your core activities first and think of it as an auxiliary, while utilising it behind the scenes to help you. Unless, that is, you have significant time, expertise, and resources to dedicate, in which case, go for it!

So, can AI power your business strategy in 2025?

Yes and no.

Because with all this talk about AI, we've neglected perhaps the most important point: It needs you in the driving seat. Even the most advanced AI is mostly reactive — its proactive suggestions only coming as a result of active inputs and requests.

But can it help? Definitely. In all the ways we’ve discussed and so many more. The phrase ‘the possibilities are endless’ is overused. But when it comes to AI applications, it feels perhaps more apt than ever. Because we’re just scratching the surface of its potential applications in business planning.