Artificial intelligence is already changing the way businesses work, from how employees complete everyday tasks to how organisations analyse data and make decisions.
If you’re wondering “how can AI help my business?”, the answer will depend on where your biggest opportunities lie. AI can help businesses increase productivity, automate repetitive tasks, make better use of data, improve customer experiences and identify new opportunities for growth.
The key is finding practical applications that address genuine business needs and give your people the skills and confidence to use AI effectively.
HOW CAN AI HELP MY BUSINESS?
AI can support almost every area of a business, but some of the clearest opportunities come from improving existing ways of working.
Businesses are already using AI to research information, draft and summarise content, analyse data, support customers and automate processes – in June 2026, for example, the Office for National Statistics reported that around 35% of UK businesses were using at least one AI technology.
But where AI delivers the most value will vary between organisations. For some, the opportunity may be saving employees time. For others, it could mean understanding customers better, getting more value from their data or making an existing process faster and more efficient.
Here are six areas businesses can explore.
1. Improve Productivity and Free Up Capacity
One of the most immediate benefits of AI in business is its ability to help employees complete everyday tasks more efficiently.
Generative AI tools can support activities such as researching information, summarising documents, drafting emails, preparing reports, organising notes or turning information into a first draft.
The time saved on individual tasks may seem small, but repeated across teams and processes it can create valuable additional capacity. Recent Department for Science, Innovation and Technology research found that 75% of businesses using AI reported improved workforce productivity, while 57% had developed new or improved processes or operations.
For employers, the opportunity is to identify where employees are spending significant time on repetitive or manual work and explore where AI could help them work more efficiently.
2. Automate Repetitive Business Processes
AI can also help businesses improve wider workflows rather than simply speeding up individual tasks.
Depending on the tools and systems available, AI can be used to categorise information, process documents, route enquiries, update records, extract information from large volumes of text or support routine administrative work.
For example, a team that manually reviews incoming enquiries could use AI to help categorise them before directing them to the right person. A finance team might use AI-enabled tools to extract information from documents, while an IT team could use automation to help manage common support requests.
The best opportunities often become clearer when businesses map an existing process and identify where work is repetitive, slow or heavily reliant on manual handovers.
AI can then be applied to specific parts of that process, with appropriate human oversight where it is needed.
3. Make Better Use of Your Business Data
Most organisations already generate large amounts of data through their customers, sales, finances, operations and digital systems. The challenge is turning that information into something useful.
AI can help employees analyse larger volumes of data, identify patterns, summarise findings and make information easier to explore. This could help a sales team understand which leads are most likely to progress, enable an operations team to identify recurring issues or help managers spot trends that may otherwise be difficult to see.
There is already a link between AI adoption and more developed approaches to data. UK government research published in 2026 found that businesses using AI were more likely to report analysing data than businesses that did not use AI.
However, the quality of the output still depends on the quality of the underlying information. Strong data skills and good data practices remain an important part of getting value from AI.
4. Improve Customer Experience
AI can give customer-facing teams additional ways to understand and respond to their customers.
Chatbots and virtual assistants are one example, helping businesses answer common questions or provide support outside normal working hours. But the opportunity extends beyond automated customer service.
AI can help organisations analyse customer feedback, identify recurring themes in enquiries, personalise communications and give employees faster access to the information they need when responding to customers. A business receiving hundreds of customer comments each month, for example, could use AI to help identify the issues being raised most frequently. Those insights could then inform improvements to products, services or internal processes.
Used effectively, AI can help customer-facing employees spend less time searching for information and more time dealing with the issues where their judgement and experience are most valuable.
5. Support Better Business Decisions
Business decisions often rely on bringing together information from several different sources.
AI can help employees research topics, summarise complex information, analyse trends and explore different scenarios more quickly. This can give decision-makers a clearer starting point when assessing an opportunity or addressing a problem.
A manager might use AI to summarise performance information across several reports. A marketing team could analyse campaign data to understand what is generating results. Business leaders could use AI-assisted research when exploring a new market or evaluating potential opportunities.
Human judgement still matters, of course. AI-generated outputs can be incomplete, inaccurate or lack important context, so employees need to understand when information should be checked and how AI should support decision-making.
The goal should be to help people access and interpret useful information more effectively, allowing them to make more informed decisions.
6. Identify New Opportunities for Growth
AI can also help businesses explore what they could do next.
Teams can use AI to support market research, analyse customer needs, generate and develop ideas, compare potential approaches or accelerate early-stage research into new products and services.
It can also help organisations identify opportunities within what they already do.
If AI reduces the amount of time required for a particular process, could your team handle more customers? If analysing customer data highlights an unmet need, could that inform a new service? If employees gain additional capacity, where could that time create greater value?
AI itself does not guarantee business growth. Its value comes from connecting the technology to clear commercial or operational opportunities and measuring whether those applications are delivering meaningful results.
HOW SHOULD YOUR BUSINESS GET STARTED WITH AI?
Businesses do not need to overhaul their operations immediately to start seeing value from AI.
A useful starting point is to identify a specific problem or opportunity within the organisation. Look for processes that take too long, repetitive tasks that consume employee time, information that is difficult to analyse or areas where customers regularly experience friction.
From there, consider whether AI could help and test the idea on a manageable scale.
A simple approach is to:
- Identify a clear business problem or opportunity
- Explore where AI could support the process
- Test the use case on a small scale
- Measure the impact
- Learn from the results and improve the approach
- Expand successful uses where appropriate
This makes it easier to evaluate whether AI is actually creating value before committing significant time or investment.
WHAT AI SKILLS DOES YOUR BUSINESS NEED?
Technology is only one part of successful AI adoption. Businesses also need people who understand how to use it effectively.
Employees may need the confidence to use AI tools in their everyday roles, evaluate outputs and handle business information appropriately. Other employees may need deeper skills to identify AI opportunities, analyse data, redesign processes or integrate tools with existing systems.
Leaders also need enough understanding of AI to decide where investment should be prioritised, assess potential value and manage the risks involved.
For many organisations, developing AI capability therefore means building skills at different levels across the workforce rather than relying on a small number of technical specialists.
Baltic Apprenticeships supports organisations looking to develop practical AI, data and digital skills across their teams, helping employees turn emerging technologies into useful applications within their roles.
FIND OUT WHERE AI COULD ADD VALUE IN YOUR ORGANISATION
AI offers businesses plenty of potential, but turning that potential into measurable value requires people who know how and where to use it.
If you’re exploring how AI could support your business, a good next step is understanding where the opportunities are and what skills your teams may need to make the most of them.
Our AI Skills Consultation helps you assess your current capabilities, identify potential skills gaps and explore where AI could be applied across your organisation.
Book an AI Skills Consultation to start building a clearer picture of where AI could support your business.