AI uptake within finance and accountancy: what it means for employers and candidates

The rise of AI in accountancy and finance is changing the way we work in every sector. And while some people fear that artificial intelligence will replace jobs, the reality is much more positive.  

For both employers and candidates, AI adoption in finance provides an opportunity to enhance efficiency, improve decision-making, and unlock new potential. In this article we look at how artificial intelligence in finance and accountancy is influencing the sector and what it means for you. 

Why AI adoption in finance is taking off 

The uptake of AI adoption in finance comes down to market pressures. Think rising costs, leaner teams, and increasing regulatory demands – all of which are pushing businesses to explore finance automation tools to help them improve speed, accuracy, and cost-efficiency. These tools are helping finance teams streamline processes like regulatory reporting and data validation, leaving them to focus on higher-value tasks. 

For example, in the insurance industry, AI can automate quarterly regulatory reporting, making things easier for both auditors and internal teams. There are some important considerations though. Firstly, to ensure teams are ready to embrace new tech, and secondly, to carefully evaluate which AI tools for finance professionals will deliver the best return on investment (ROI) for your business.

AI and finance team structures 

Because artificial intelligence in finance is becoming more popular, at Sellick Partnership we’re seeing changes in team structures and workflows. With AI taking on administrative or repetitive tasks, finance professionals can spend more time on more strategic activities like AI-driven decision-making, stakeholder management, and commercial analysis. We’ve noticed this shift is creating demand for new roles and skill sets. 

Key finance and accountancy trends include: 

• A growing emphasis on soft skills like communication, problem-solving and critical thinking. Cultural fit is important too. 
• The rise of financial planning and analysis (FP&A) roles, reflecting a shift towards data-driven decision-making. 
• Smaller, more tech-enabled teams that can make the most of finance automation tools to make them more efficient. 

Tasks AI in finance can complete

The adoption of AI in accountancy and finance is changing the way repetitive and time-consuming tasks are completed too. Some of the key tasks AI is transforming include:

• Invoice processing: AI-powered tools can now handle invoice scanning, data entry, and matching invoices to purchase orders with remarkable speed and precision. This reduces the risk of human error and ensures payments are processed on time, improving cash flow management. 
• Bank reconciliation: Traditionally reconciliation has been a labour-intensive task, but it’s now possible to streamline it with AI. Automation tools can quickly compare transactions across bank statements and accounting records, flagging any discrepancies and ensuring financial records are accurate and up to date. 
• Expense management: AI simplifies expenses by automatically categorising expenses, flagging policy violations, and even predicting future spending patterns.  
• Data extraction and validation: AI is great at extracting data from large, unstructured datasets and validating it against predefined rules. For example, in regulatory reporting, AI can pull data from multiple sources, ensure its accuracy, and format it for compliance purposes, significantly reducing the workload for finance teams. 
• Predictive analytics: One of the most exciting ways AI in finance is being used is for analysing historical data and predict future finance and accountancy trends. From forecasting cash flow to identifying potential risks, predictive analytics helps businesses make informed, data-driven decisions with more confidence. 

By automating these tasks, we’re not just freeing up time, we’re increasing job satisfaction too, as finance professionals can dedicate their energy to meaningful and impactful work.

The benefits of AI in finance

The benefits of AI in finance are game-changing, helping organisations work smarter, make better decisions, and stay competitive. Here’s how AI in accountancy and finance  adds value: 

• Time saving: One of the most immediate advantages of AI is its ability to speed up processes that traditionally took hours of manual effort. Tasks like invoice processing, bank reconciliation, and data validation can now be completed in a fraction of the time. For example, AI-powered automation tools can process thousands of invoices in minutes. 
• Enhanced accuracy: Human error is a common challenge in finance, particularly when dealing with large amounts of data. But finance automation tools ensure data integrity by automating repetitive tasks and applying consistent rules for validation. This is especially valuable for audits and regulatory reporting, where accuracy is critical. For instance, AI can cross-check data from multiple sources, flag inconsistencies, and make decision-making easier. 
• Strategic focus: By taking over routine tasks, AI enables finance teams to dedicate more time to review and enhance data driven commercial decision-making. Instead of being bogged down by manual processes, professionals can focus on activities that add real value, such as analysing trends, collaborating with stakeholders, and planning long-term strategies.  

Business challenges and considerations

It's worth remembering, however, that asides the many benefits of AI in finance it’s important for businesses to adopt it with a little caution. When organisations become over-reliant on technology, they can be left vulnerable. Whilst not directly linked to AI use, it may not be long until we see similar incidents like the recent high-profile cyber-attacks on major retailers such as M&S and Co-op through social engineering.

According to reports, M&S’ statutory pre-tax profits were drastically affected (£391.9m in 2024 to just £3.4m in the six months to 27 September 2025) following the cyber-attack that happened in April 2025. The retail giant had to temporarily shut down all its online systems causing countless disruptions across their global business. Co-op also suffered a similar attack in April ‘25 which resulted in an £80m hit to profits. 6.5million members also had their data stolen, diminishing trust as well as their funds.

These are just two examples that highlight the importance of robust digital controls, but also human oversight when using technology in finance. Think of AI as a tool to enhance, not replace, human expertise. Striking the right balance between automation and human input is key to getting the most out of artificial intelligence in finance. 

Other potential challenges of AI in finance include: 

• ROI concerns: Companies need to ensure that AI investments deliver the expected returns – something that in these early stage of AI adoption in finance is difficult to predict. 
• Cultural change: Teams must be willing to embrace new ways of working. Similarly, employers must consider offering training and development opportunities to help professionals to stay updated with advances in AI and other tech. 
• Balancing cost, compliance, and training: Investing in AI requires careful planning and a long-term perspective. 

Leaders play a crucial role in driving this change. Clear communication and a focus on upskilling can help teams embrace AI and unlock its full potential. 

New roles emerging in finance and accountancy

Despite some caution and forethought, AI in finance and accountancy is far from doom and gloom. In fact, the adoption of artificial intelligence in finance is creating some fantastic opportunities, plus demand for new roles in the sector, including: 

• Change and transformation specialists focused on digital finance. 
• AI system auditors and tech audit specialists. 
• Data governance experts. 
• Finance technology strategists. 
• FP&A professionals with a tech focus. 

Currently, Sellick Partnership is seeing an increased need for professionals who can bridge the gap between finance and technology. 

What candidates need to know about AI in finance 

As the industry evolves, staying competitive means embracing change and developing the right skills. If you’re a finance and accountancy candidate, here’s how you can prepare: 

• Develop key digital and technical skills: Familiarity with finance automation tools, data analytics, and AI literacy is no longer a ‘nice to have’ - it’s essential. Employers are increasingly looking for candidates who can work with tools like Power BI and understand how to use AI to drive efficiency and insights. 
• Embrace adaptability and continuous learning: Technology is advancing rapidly, and the ability to learn and adapt to new tools is what will make you stand out. Staying curious and open to change will help you thrive in today’s tech-driven environment. 
• Focus on soft skills: While technical skills are important, soft skills like problem-solving, critical thinking, and stakeholder communication are crucial. These skills help bridge the gap between technology and business needs, and if you can demonstrate a good mix of technical and soft skills, you’ll be highly sought-after.  
• Position yourself for tech-enabled roles: Engage with emerging technologies and explore how AI in finance can benefit your organisation. The more you understand and experiment with these tools, the more valuable you’ll become to your team and your career progression will accelerate. 

In short, it’s about continuously upskilling and staying a step ahead. Candidates who do so will become indispensable to employers. 

Embrace AI opportunities

AI in accountancy and finance is on the rise – and that shows no signs of slowing any time soon. AI is transforming the sector but brings with it exciting opportunities for both employers and candidates to thrive. 

The key to success lies in embracing this technology. Businesses can enhance efficiency, improve decision-making, and create new opportunities for growth. And candidates who commit to upskilling in both digital and soft skills can look forward to successful careers in this ever-evolving space. 

Whether you’re an employer looking to implement AI and hire finance and accountancy specialists, or a candidate seeking your next role, Sellick Partnership is here to help. Contact our recruitment team today to explore how we can support you throughout the changes that AI in finance and accountancy brings.