Seventy percent of UK business leaders are increasing AI investment in the next six months, according to Employment Hero’s 2026 research across 1,025 UK businesses. That’s the highest figure of the four markets we surveyed.

Which raises an awkward question. If nearly everyone is about to spend more, why can so few name the process they’d actually point AI at on a Monday morning?

The gap isn’t ambition, it’s evidence. Examples of AI in business that come with real numbers attached do something a keynote can’t. They show you what happens when a business your size points AI at its own payroll, its own hiring pipeline, its own compliance admin.

AI in customer service: faster responses, lower costs

The promise of AI in customer service is already being realised. Customers want fast answers and staffing for that 24/7 expectation is expensive. AI bridges the gap.

Klarna, the global payments platform, made headlines when it revealed that its AI-powered support assistant now handles the equivalent workload of 700 full-time customer service agents. More telling than the headline figure are the operational numbers behind it: average resolution time dropped from 11 minutes to under 2 minutes, repeat enquiries fell significantly and customer satisfaction scores held steady throughout.

What changed? Klarna didn’t just bolt a chatbot onto its existing support setup. It deployed AI that could actually resolve issues end-to-end, such as processing refund requests, updating account details or answering billing queries. The result was a meaningful reduction in support costs without a corresponding drop in customer experience.

For UK businesses, the lesson isn’t that you need Klarna’s scale. Affordable AI support tools are now accessible to SMEs and can handle the routine, high-volume enquiries that eat up your team’s time. If your support team is spending hours answering the same ten questions, AI can take most of that load off. Your people have more time  for the conversations that genuinely need a human.

AI in HR and employment: Employment Hero in practice

Only 21% of UK businesses have HR, payroll and hiring fully integrated. For everyone else, employment runs on spreadsheets, email threads and someone’s memory. It works right up until it doesn’t: a hiring surge, a right-to-work check that slips, an onboarding step nobody owns.

This is the problem Employment Hero’s AI-powered Employment Operating System is built to solve, and Hero AI is how it does it. Hero AI is the technology behind every AI capability in the platform, from hiring to onboarding to payroll checks.

Take hiring. For a retail business with 30 staff, finding a new store supervisor typically means writing a job ad, posting it manually across multiple platforms, sifting through dozens of applications and trying to find interview time in an already packed calendar. Employment Hero’s AI Recruitment Agent powered by Hero AI changes that workflow from the ground up. It automatically matches open roles against a talent pool of over 2.3 million candidates, screens and scores applicants based on role fit and creates a shortlist before a hiring manager has had to read a single CV. 

In the UK, that means roughly five times more candidates evaluated for the same effort.

Employment Hero’s own Talent Acquisition Manager, Daniella Angel, knows the “before” version well. Earlier this year she ran a single search that attracted 3,994 applications. Just 46 made it to a screening call. She read every CV by hand, mostly in the evenings, while running five other senior roles.

Now with AI screening from Employment Hero, her CV review and screening time is now two to three hours a week, down from 10–13.

“It’s the difference between being shown the aces up front instead of flicking through the whole deck.”

And it doesn’t stop at hiring.

Once a candidate is selected, Employment Hero’s AI-powered onboarding takes over. New hire paperwork, employment agreements, policy acknowledgements and compliance checklists are automated and tracked, so nothing gets missed.

The Employment Hero model illustrates what the best AI tools actually do: they don’t replace the judgement of a good manager or HR professional. They remove the administrative drag that stops those people from doing their best work.

Take BelEve, a London social enterprise supporting girls aged 8 to 22 for example. Their team cut the time spent shortlisting by 60%. 

BelEve CEO and co-founder Marsha Powell put the outcome plainly: 

“It’s just taken away all the admin slog. Employment Hero gives us time to invest in our people, which is exactly what we’re here to do.”

AI in payroll and compliance: catching errors before your people do

Payroll is where UK businesses feel this most sharply, and where the trust bar is highest.

Nearly seven in ten UK businesses (69%) had a payroll error needing manual correction in the past 12 months according to our research, the highest of the four markets we surveyed. 

Meanwhile, the average UK pay run takes 6.3 hours and 88% of UK businesses had to update their payroll or HR systems because of a regulatory change in the past year.

That last number is the one to sit with. It’s a real pace-of-change problem, and the Employment Rights Act will make it sharper.

AI helps in two specific ways here. It checks the pay run before you do, flagging anomalies and missing data. And it keeps the rules current, so RTI submissions, National Minimum Wage thresholds and auto-enrolment duties are applied to this month’s pay run rather than last year’s. UK businesses with AI core to their operations are 38% less likely to report wasted hours verifying HR and payroll data.

Structural Metal Decks, a 50-person construction business running two payroll groups, cut weekly payroll processing by 65% and saved over £5,000 a year. Finance and Technical Director Jamie Turner named the relief specifically: 

“Knowing Employment Hero automatically picks up minimum wage changes and compliance updates is a huge relief, especially when thresholds shift after instances like the Budget announcement.”

For a business running payroll in-house without a specialist, that built-in checking is the whole value. It doesn’t make you compliant. It helps you stay on top of what compliance now requires.

AI everywhere else: marketing, training and more 

The same pattern repeats across the rest of the business. AI takes the volume work, people keep the judgement.

In marketing, that looks like a marketing manager at a Manchester professional services firm drafting a month of LinkedIn posts, generating subject line variants to test and building a nurture sequence in an afternoon. The strongest returns are in targeting and optimisation, where AI reads behavioural data to predict which segments will respond, so budget goes where conversion is most likely.

In learning and development, it’s the end of the generic e-learning module nobody finishes. AI reads someone’s role, skill level and performance data, then surfaces training that’s actually relevant to what they’re working on. For a UK HR team of one, that’s the difference between building development plans by hand and spending those hours on the coaching conversations that can’t be automated.

Employment Hero’s learning management sits in the same platform as payroll and HR, which matters more than it sounds. When learning data lives alongside performance and employment data, you get a complete view of how your team is growing and where the next investment should go.

The five questions UK employers actually ask before they commit

These aren’t hypothetical objections. They come up on calls with UK businesses week after week, and they’re worth answering before you choose a tool.

1. Is there a human in the loop?

The most common question by a distance, and the one to get right. Automated decisions that affect people carry real legal weight. UK GDPR restricts solely automated decision-making with significant effects, the Equality Act 2010 applies to discriminatory outcomes however they’re produced, and businesses with EU operations or EU-based candidates are working through the EU AI Act’s requirements on automated candidate scoring.

The practical answer is to use AI to rank, summarise and surface, and keep a person making the decision. Daniella reviews every AI interview herself before making a call.

“I set the criteria. I set the job description. All the AI does is work out how closely the person matches it. It isn’t replacing human judgement. It helps humans be less biased.”

2. Is it your own AI, or someone else’s, and where does our data go?

Increasingly the second question, usually from whoever holds the data protection brief. Ask any vendor directly: is the AI native to the platform or a third-party model, what happens to employee data, where is it processed, and how does it fit your retention policy. If a vendor is vague, that’s your answer.

3. Can I just ask it a question?

The feature that makes AI click for HR managers isn’t automation, it’s being able to ask the system something in plain English. “Who’s been off sick without a return-to-work meeting?” is a question that takes an afternoon of cross-referencing spreadsheets, and about four seconds to ask an AI that can see your HR data.

4. What happens when the AI can’t help me?

A live frustration, and a fair one. Nobody wants to be stuck in a loop with a chat box when payroll is due and there’s no route to a person. The same applies to candidates. Applying for a job expecting a human and meeting a robot is a poor first impression of your business. Be transparent about when someone is talking to AI, and always leave a way through to a person.

5. How do I bring my team with me?

The nervousness is usually about the transition, not the technology, and it’s often well-founded. One operations leader described switching off his existing system’s automation entirely because he didn’t trust the data behind it.

Trust the data first, then the automation. Then be honest with your team about what’s changing and why.

There’s a related risk worth naming. Around 44% of UK business leaders know their employees are already using personal AI tools on sensitive data. If you haven’t given your team a safe, sanctioned way to use AI, they’re likely using an unsafe one.

What are the key benefits of AI in business?

Across the examples above, a few consistent themes emerge about what AI actually delivers in practice.

Time savings 

This is the most immediate and tangible benefit. Whether it’s automated CV screening that compresses a two-week hiring process into two days, or a pay run that drops from seven hours to two, AI gives time back. For SME owners and managers who wear multiple hats, recovered hours are genuinely valuable.

Cost reduction 

Fewer manual processes mean lower overhead. Structural Metal Decks’ £5,000 a year and Klarna’s support savings point the same way: AI reduces the labour cost of routine, high-volume work. Individually modest, cumulatively significant.

Smarter decisions 

AI tools are particularly good at processing large amounts of data and surfacing patterns that would take humans hours to identify. In HR, that means spotting potential retention risks before an employee hands in their notice. In marketing, it means knowing which audience segments are most likely to convert before you’ve spent your full budget. Better information leads to better calls.

Improved experience for employees and customers 

When the repetitive, frustrating parts of a job are handled by AI, the people left doing the work tend to enjoy it more. Developers are solving interesting problems, support agents handle complex cases and HR managers can coach, rather than chase paperwork. Better employee experience and better customer experience often arrive together.

UK businesses with fully integrated employment management report 80% revenue increases and 85% productivity increases, against 51% and 59% for those running partial or poor integration. 

Employment Hero ties many of these benefits together in a single platform, which is worth noting because fragmented tools create fragmented workflows. When hiring, onboarding, payroll, performance and learning all sit in one AI-powered system, the benefits compound.

How to start implementing AI in your business

Knowing where to begin is the biggest barrier for most business owners. Here’s a practical approach that doesn’t require a large budget.

1. Identify your most time-consuming, repetitive tasks

The best starting point isn’t the most exciting AI application. It’s the most painful manual process in your business right now. Is it answering the same customer questions over and over? Reviewing CVs? Building reports from multiple spreadsheets? Start there. The ROI is clearest when you’re replacing a known time-sink.

2. Choose tools that integrate with what you already use 

Standalone AI tools that require a separate login and manual data transfer often get abandoned. Look for AI features built into platforms you’re already using or that connect cleanly to them. Employment Hero’s AI features work within the same system your team uses for payroll and HR, so adoption is far more likely.

3. Run a small pilot before committing at scale

Pick one team, one workflow or one process to test. Measure against a clear success metric, like response time, hours saved, cost per hire or completion rate. A pilot removes the risk of a big commitment and builds internal confidence with real data.

4. Involve your team early

AI adoption stalls when it’s imposed from the top without explanation. Be transparent about what you’re implementing and why. Frame it around what’s in it for your people, less time on admin and more time on meaningful work, rather than purely as a cost-saving exercise. Teams that understand the ‘why’ adopt faster and use tools more effectively.

Daniella’s advice to her peers is blunter. 

“Stop treating every application like it deserves the same manual read. Grinding through it by hand doesn’t make you a better recruiter. It makes you a tired one.”

The businesses getting the most from AI in 2026 aren’t the ones who waited for the perfect plan. They started with one use case, learned from it and kept going.

See AI in action across your employment lifecycle

Employment Hero’s Employment Operating System brings together AI-powered hiring, onboarding, payroll and learning tools in one platform, built for UK businesses of every size.

Book a demo today and see how much time your team could get back.

The information in this article is current as at 10th September 2026 and has been prepared by Employment Hero Pty Ltd (ABN 11 160 047 709) and its affiliates (Employment Hero). The views expressed here are general information only, provided in good faith to assist employers and employees, and should not replace professional advice. Some information comes from third-party data believed accurate but not independently verified. No warranties ensure it is complete, accurate, current, or fit for its intended use. Employment Hero disclaims responsibility for inaccuracies and any loss or damage from reliance on this information. You should research and seek professional advice before making decisions or relying on this article.