Bridging the AI efficiency gap: the critical role of training 

The promise of AI is everywhere — in productivity claims, efficiency forecasts and bold headlines about the future of work. But for many finance teams, the reality feels very different. 

AI tools may be more accessible than ever, but their impact depends on something far more human: skills. And that’s where the real gap lies. 

The potential is there — but the capability isn’t 

Most firms now recognise that artificial intelligence, automation and data-driven insights can transform the way they work. Whether it’s streamlining forecasting, reducing manual input, or uncovering patterns in vast amounts of business data, AI has clear benefits. 

The problem is, very few teams are equipped to use it effectively. 

• AI tools go underused because staff don’t know how to apply them in context
• Data sits idle because teams aren’t sure how to analyse or interpret it
• Software rollouts stall due to lack of internal knowledge or confidence
• Efficiency gains remain theoretical rather than tangible

In short, there’s a growing gap between the tools firms have and the value they’re able to unlock from them. 

We call this the AI efficiency gap — and if left unaddressed, it risks leaving teams stuck in limbo: excited by potential but paralysed in practice. 

The missing link? Training 

AI doesn’t work in isolation. It’s only as powerful as the people using it. Yet across the industry, training is often the last thing on the list — or worse, entirely overlooked. 

At Kaplan, we’ve seen this first-hand. We speak to employers every week who have invested in the right platforms or tools, but are still struggling to embed them into everyday workflows. 

In almost every case, the answer isn’t more software. It’s more skills. 

That means building practical confidence in areas like: 

• Using AI responsibly and ethically in finance settings
• Understanding how automation can fit into existing processes
• Analysing data to drive better decisions
• Identifying opportunities for AI to reduce workload or increase insight
• Communicating findings and risks to stakeholders

In other words, helping people apply AI in a way that makes sense for their role, their team, and their business. 

How Kaplan is supporting AI readiness 

Kaplan has a range of training options to help close the AI efficiency gap — whether you want to upskill individuals, entire teams, or future-proof your workforce through apprenticeships. 

In-house AI and data training for organisations 

We design and deliver tailored training for companies that want to embed AI and data skills across their finance, operations or leadership teams. Our programmes focus on real-world applications — not just theory — and can be delivered live, online, or in person. 

AI and data skills in apprenticeships 

For early-career professionals, AI is no longer just a buzzword — it’s an expectation. Our data and tech apprenticeships include core modules on AI, automation and digital analysis, giving learners the tools to support transformation from the ground up. 

Find out how Kaplan can help your team close the AI skills gap 

Final thought: tools don’t drive change — people do 

AI is not a shortcut to success. It’s a tool for smarter decision-making, more efficient processes, and better business outcomes. But it only works when people know how to use it. 

So if your firm is serious about digital transformation, don’t just invest in technology. Invest in your people. 

Because the real efficiency gain doesn’t come from the AI itself — it comes from the skills, confidence and curiosity of the people using it. 

Meet the Kaplan team on stand J8 at Accountex Summit Manchester, taking place at Manchester Central on 23 September 2025.  

For further information, please visit www.accountexmanchester.com.

Book your free ticket here.

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