10 • Technology, Software & Marketing


Te Finance & Business Guide - brought to you by APL Media • Wednesday 22 October 2025


difference in competitive sectors.” He adds that many clients are using AI to offset the impact of rising taxes and inflation without passing costs to their customers. Arturo Buzzalino, chief


innovation officer at software company Epicor, echoes this. “AI can accelerate the kinds of work that humans aren’t particularly good at or don’t enjoy,” he says. He goes on to explain that businesses will see gains in efficiency thanks to AI, as well as in innovation, as it frees up human talent. Naturally, this will help to increase profitability and economic outlooks.


AI AND PRODUCTIVITY/BOSCH


for the best ways to incorporate automation. According to 2024 data from the Office of National Statistics, 15% of businesses reported they’re using some form of AI technology,


Te robot next door A


s AI technology develops at a rapid pace, businesses across all industries are searching


jumping to 30% for businesses with over 250 employees. Meanwhile, in some digital or tech- led sectors, the numbers are expected to be even higher. For some companies, AI’s ability


to improve efficiency is driving tangible financial results. “In


THE AI CHALLENGE Using AI in a business is not always a straightforward route to success. “Early experiences are already reinforcing that success comes from being selective and investing in training to bring teams along on the journey,” Chris notes. One of the other biggest


Businesses are turning to artificial intelligence to improve productivity and profitability, but is it all good news? Words: Elizabeth Bennett


my own portfolio of businesses, automation tools are helping us streamline workloads,“ says Chris Spratling, founder of business growth agency Chalkhill Blue Limited. “We’ve seen annualised net margin improvements between 4% and 6%, which makes a huge


challenges around AI lies in perception. Steffen Hoffmann, managing director at Bosch UK Ireland, highlights an in-house survey in which only 43% of respondents felt prepared for a future with AI. “That gap underlines the importance of education, skills development and transparency to build confidence and trust in how AI is deployed,” Steffen explains. For him, the solution here is to invest in education, to build confidence and trust in how AI is deployed.


Like with any technology, when


AI falls into the wrong hands, it can cause more harm than good. “If the training data is wrong, manipulated, or of poor quality, AI systems may produce confused or misleading outcomes,” says Faraz Khan, founder of meeting and workspace bookings app MeetingRoomz. He believes it’s crucial to ensure the source data used to train AI is accurate, reliable and ethical. “Without this, AI has the potential to become a disaster rather than a tool for progress,” he adds.


BALANCING ACT “You can’t succeed without the human element, especially when it comes to the strategic side,” Arturo concludes. At the core of all businesses is human connection. Something that Georgie Upton, managing director of Wild Card Public Relations, emphasises: “AI lacks the deep understanding of human beings.” Within Wild Card Public Relations, a combined approach is what they are working towards moving forward. “If we don’t harness AI, and use it for its most effective capabilities, service industries like ours will simply be swallowed up by it as competitors soar ahead,” Georgie adds. Striking the balance between


using technology and human talent is the challenge all businesses must face. As we look to the future, getting the balance right will be the key to harnessing technology for the better, rather than the worst.


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Digital transformation promised to revolutionise financial services but, for many, it led to surface level upgrades without fixing core flaws


Its promise was hyper personalisation but its sequential compute structure turned its premise to simplification and standardisation, an obvious contradiction. Agentic AI’s goal seek structure, where AI is driven by objectives rather than fixed workflows, provides a golden opportunity to remedy the past — and quickly. But current AI implementations are narrow and disconnected, creating technology debt when they should be solving financial services’ core problems. If properly architected, AI delivers


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