Thought leadership and research

Paul Redmond writes. Paul is the founder of RDA Accountants. A recognised voice in modern accountancy, Paul helps business owners and accountants achieve clarity, growth, and long-term impact through his frameworks on wealth, strategy, and advisory transformation. Introduction: a defining decade Every profession has defining decades – periods when technology and expectations force a complete reinvention. For accountants, this is one of those decades. We’ve already lived through three major shifts: from ledgers to spreadsheets, from desktop software to the cloud, and from static reporting to real-time collaboration. Each step freed us from manual drudgery and increased our efficiency. Artificial Intelligence (AI), however, is different. Unlike past shifts that digitised existing work, AI reshapes the work itself. It changes what accountants do, how we deliver value, and even how clients perceive us. Used poorly, AI risks reducing us to faster processors of compliance tasks - a commodity in a race to the bottom on fees. Used strategically, it gives us the power to become navigators of business success, guiding clients with insight, foresight, and clarity. The choice is ours. Why AI is arriving now AI’s rapid arrival in accountancy isn’t random. Four converging forces make this the perfect moment: Data overload: businesses now produce enormous volumes of data from e-commerce, CRM systems, banking feeds, and apps. Most of it goes unused because humans can’t process it all. AI thrives in this environment, ingesting and analysing vast datasets in seconds. Rising client expectations: Netflix predicts films, Google anticipates searches - our clients live in an AI-powered world. They now expect real-time insights, proactive guidance, and personalised advice from their accountants, not just year-end reporting. Margin pressure: Compliance work is being commoditised by cloud software and low-cost providers. To escape shrinking margins, firms must shift towards higher-value, insight-led services. Talent shortages: Fewer graduates are choosing traditional accounting. The repetitive nature of compliance makes retention difficult. AI offers relief by automating low-value work, freeing teams for more engaging, strategic roles. Together, these forces make AI not optional, but essential. Practical AI in today’s firm AI isn’t a distant future – it’s already embedded in tools we use daily. Here are six practical applications that are reshaping firms: Automated data capture: OCR and machine learning categorise invoices, receipts, and bank transactions with minimal human input (e.g. Dext, Auto Entry). Predictive forecasting: Dynamic models replace static spreadsheets, enabling scenario planning in real time (e.g. Futrli, Fathom). Plain-language reporting: NLP tools translate financial data into clear narrative commentary clients can actually understand (e.g. Microsoft Co-pilot). Workflow optimisation: AI analyses projects, reallocates workloads, and helps practices meet deadlines more reliably (e.g. FYI Docs with Co-pilot). Anomaly detection: Machine learning flags unusual transactions and potential fraud instantly. Knowledge management: AI assists with tax or compliance research, cutting hours from manual work and increasing confidence in advice. Key point: AI replaces repetitive effort, not accountants. It frees us to spend more time interpreting, guiding, and advising. Avoiding the trap: tech-first thinking One of the biggest mistakes firms make is starting with the tool instead of the outcome. Too often, a partner buys software after a slick demo, only for it to gather dust when it doesn’t fit real client needs. The better path is client-first adoption: Define the client result (e.g. “improve cash flow visibility”). Map the process to deliver it. Identify the AI that accelerates or enhances that process. When AI is embedded in a structured, outcome-driven workflow, it stops being a shiny toy and becomes a genuine profit driver. A client-first model for AI adoption Firms succeeding with AI often follow a five-stage rhythm: Discovery – data pull: AI-enabled tools gather a client’s full financial position in minutes, not hours, creating a rich foundation for advisory conversations. Clarity – turning data into insight: AI converts raw data into dashboards, benchmarks, and models, highlighting the top opportunities or risks without drowning clients in spreadsheets. Guidance – human + AI: Accountants interpret insights, ask deeper questions, and deliver recommendations. AI provides the analysis; humans provide wisdom and context. Execution – reliable delivery: Workflow tools automate follow-ups, deadlines, and task allocation so advice is consistently delivered. Continuous monitoring – always-on support: AI alerts accountants to risks or opportunities between meetings (e.g. low cash thresholds), enabling proactive contact. This model transforms advisory from one-off sessions into continuous partnership. Case studies – AI in action Manufacturing cash flow turnaround: A €2.8m family-owned manufacturer struggled with stock inefficiencies. Using AI forecasting, the firm modelled different reorder strategies. A just-in-time approach cut stock write-offs by 40% and freed €120k in cash, which funded new machinery and growth. Retail margin improvement: A retailer saw sales rising but margins falling. AI sales mix analysis revealed 12% of SKUs (Stock Keeping Unit) were unprofitable once marketing spend was factored in. Dropping these improved net margin by 2.5% annually. Result: In both cases, AI supplied clarity, but the accountant supplied confidence and strategy. Overcoming adoption barriers Even with clear benefits, adoption isn’t smooth. Common barriers include: Skills gap: Teams fear they lack knowledge. Fix: Run small AI literacy workshops on tools staff already use. Nominate an “AI champion.” Cost concerns: Licences feel expensive. Fix: Start with one high-impact use case, prove ROI, then expand. Cultural resistance: Staff fear job loss. Fix: Frame AI as support, not replacement – removing low-value work so people can focus on meaningful, engaging tasks. Data security: Clients worry about confidentiality. Fix: Vet vendors rigorously, demand compliance certifications, and communicate transparently about data use. Handled well, these barriers become opportunities to build trust. Redefining the accountant’s role AI doesn’t change what clients ultimately seek: trust, clarity, and strategic partnership. It simply enhances our ability to deliver it. The accountant of today – and certainly of 2030 – will be: A navigator: using AI insights as a compass to help clients chart their course. A translator: converting complex data into clear, empowering stories. A strategist: aligning financial insight with business goals, spotting opportunities, and mitigating risks. Future specialisms will emerge, from data accountants skilled in governance and analytics, to CFO-as-a-Service providers offering real-time strategic guidance to SMEs who can’t afford full-time CFOs. The automation of compliance gives us back the most precious resource: time. What we do with it defines our future. The ethical compass As trusted professionals, we must ensure AI is used responsibly. Four principles matter most: Bias: AI learns from historical data, which may carry hidden biases. We must question and validate outputs. Transparency: Black-box models can’t justify conclusions. Accountants must ensure advice is explainable. Governance: Clients deserve clarity on where data is stored, who can access it, and how it’s used. Accountability: No matter how advanced the AI, responsibility for professional advice rests with us. Our credibility depends not on how advanced our tools are, but on how responsibly we use them. Roadmap – bringing AI into your practice You don’t need a revolution overnight. A structured approach works best: Identify one high-value client outcome (e.g. faster invoice payments). Map your current process. Choose an AI tool to enhance it. Pilot with a small group of willing clients. Refine based on feedback. Standardise and roll out more broadly. Review quarterly to adapt and improve. This rhythm turns AI from an experiment into a consistent growth engine. Conclusion – leading the change AI will reshape accountancy whether we like it or not. The firms that thrive will not be the cheapest or the fastest at compliance, but those who combine AI’s scale with human judgment, trust, and empathy. We can remain record-keepers of the past - or become navigators of the future. That future is already here. The only question is: will you lead with it? This excerpt has been taken from the September 2025 edition of Practice News.

A new report from Chartered Accountants Worldwide (CAW) reveals significant enthusiasm about the use of AI in the profession, with 85% of respondents expressing willingness to use AI tools - and 91% of those aged 18–24 already using the technology. Members of Chartered Accountants Ireland were surveyed alongside respondents from 13 other Chartered bodies around the world, with the findings showing that AI is increasingly integrated into business processes and that the profession is actively embracing change. Chartered Accountants Ireland is the largest professional body on the island of Ireland, representing almost 40,000 members and educating 6,600 students. Key findings: AI is reshaping the profession - 85% of respondents are willing to use AI tools. This rises to 91% among 18–24-year-olds and is accompanied by strong understanding (59%) of the potential uses of AI in accountancy.   AI is already in use - 83% of 18–24-year-olds use AI tools weekly - mainly for general productivity, data entry, reconciliation of accounts, and financial reporting. While 80% of 18–24-year-olds feel confident using AI in their roles, only 47% of those aged 55+ share that confidence. The most used tools are Gen AI chatbots, Microsoft Copilot and business intelligence tools. 45% say AI is already helping them to work more effectively and efficiently. 31% say they are already using traditional AI in their job. 29% are already using generative AI (GenAI) in their job.   Barriers to adoption - 52% of those surveyed state that the biggest barrier to AI adoption is insufficient skills and training. 30% also cite data security concerns as a reason they do not use AI more frequently.   Upskilling is essential - despite a high willingness to use AI, there is a skills gap and feeling of unpreparedness for the changes AI will bring. 30% have participated in AI-related training through their organisation, but 92% are likely to participate if offered the opportunity. 65% expect to receive AI-related training from their professional body, while 32% expect it from employers. Commenting Barry Dempsey, Chief Executive of Chartered Accountants Ireland, said “It is really encouraging to see strong early adoption and enthusiasm in the profession. It is clear from the research, however, that current usage is largely focused on general-purpose productivity tools, rather than technical work, with much of the momentum driven by individual initiative and self-directed learning. “Only 30% have participated in AI-related training through their organisation, and among those that have not engaged in training, 61% say it is because it is not offered. There is a high employee willingness to engage, with 92% saying they are likely to participate if offered the opportunity, so bridging this gap will be crucial to unlocking the further potential of AI for the profession. Smaller practices and businesses may not have the resources to deliver tailored AI training, so it’s essential that professional bodies like ours step in to bridge that gap. There is also an opportunity for the government to play a role in supporting widespread digital upskilling, particularly for SMEs, to ensure no part of the profession is left behind as AI reshapes the business landscape.” AI is an opportunity, not a threat There is consensus in the findings that AI will augment, rather than replace, the Chartered Accountant’s role, with human intelligence remaining at the heart of the profession. Chartered Accountants will continue to rely on core skills, and the training priorities of respondents reflects this: Critical thinking (77% rate this as a priority) Data privacy and security (71% rate this as a priority) AI ethics (66% rate this as a priority) Barry Dempsey continued: “Priorities such as critical thinking, an emphasis on data privacy and security and AI ethics go to the very heart of chartered accountants as trusted business leaders. Critical thinking will continue to be crucial in scrutinising and applying AI insights to provide effective advice to business/clients. Similarly, with increased AI use, it's even more important to ensure structured, effective training to use technology ethically and protect data responsibly. “56% of respondents agree that incorporating AI makes accountancy more attractive as a career choice and we remain committed to equipping the next generation of Chartered Accountants with the skills and mindset to lead in a world shaped by innovation, from their first steps as students to their roles as future business leaders.” Read the report in full CAW_AI-in-Accountancy-web.pdf  Read media coverage Chartered accountants confident about adoption of AI in their work, survey finds – The Irish Times 

Liam Cotter charts the road ahead and critical importance of data for Irish organisations preparing for the AI revolution Right now, many organisations are experiencing caution, confusion—or both—in relation to artificial intelligence (AI). They are unsure about generative AI (GenAI), how it differs from previous AI iterations, and whether it can add value for them. With the first milestones of the European Union’s AI Act due to come into force in February 2025, focused on prohibiting AI systems posing unacceptable risk, organisations are concerned about falling foul of regulation. They are keen to ensure that any AI model introduced to help their business, undergoes rigorous testing to ensure it is fair and doesn’t have bias baked in. There are also more generalised fears regarding the cost of moving too quickly and developing the wrong solutions, however, as well as the “opportunity cost” of moving too slowly and thus failing to capture the benefits of the right opportunities. Data-based decisions Regardless of what stage an organisation has reached in its adoption of AI and GenAI, one thing holds true: the key to success is data. The only way to ensure quality AI outputs is to provide quality inputs. The way we manage and store data for the AI age differs from how we have done so in the past. Thus, even though the same fundamental rules apply, your data capture and entry systems may not be robust enough to handle AI demands and this could put you at a competitive disadvantage. Part of the problem with readying your data for AI transformation is the sheer amount of hard work involved, which may not appear not to offer a lot of value. This is because this work involves run-of-the-mill data generated from day-to-day operations. The key to the successful adoption of AI tomorrow is ensuring everybody in your organisation is aware of data management today. It is about ensuring everyone is measuring the quality of their data right across the organisation so they can stand over what it presents. For organisations that previously placed little value on the data they generate, this shift will require a culture change. It may also require different parts of the organisation to pool data—such as combining sales and stock databases rather than keeping them siloed, for example. In companies involved in mergers and acquisitions, it means ensuring you fully understand your data's lineage. The time to act is now The past 12 months have seen a growing realisation among organisations of the potential importance of AI as a lever for competitiveness. It is increasingly viewed as a valuable tool to drive digital transformation, enabling them to become more flexible, be faster to market, provide a better customer experience and more. Most of what AI will do has yet to be “dreamed up”. To put its scale in context, somewhere in the world, a data centre—the building block that powers the AI revolution—opens every two days. Organisations need to act to keep up. The first step is understanding the regulations and timeframes that are being rolled out under the EU AI Act. Next, identify use cases and develop them. Experiment—and if you are going to fail, fail fast. Get involved and discover the value in AI. People-powered data Understand the behavioural risks, too.  A lot of the work involved isn’t about technology at all. It’s about people. You can introduce the best technology in the world, but it's useless if staff don’t collect, curate and manage their data correctly. Everyone in your organisation must be able to stand by the accuracy of their data, which means good data practices must be applied to all business processes. In many organisations, this means investing in data capabilities, including staff training, and appointing a Chief Data Officer responsible for driving data literacy and good data management practices throughout the organisation, from the bottom to the top. To succeed, data management must be seen as a core, valuable component of what everyone does, regardless of their role. Break down the barriers Barriers to achieving effective AI readiness include an organisational culture that hasn’t yet caught up with the importance of data, allied to poor systems and processes that ensure people don’t understand the implications of getting it wrong. The real barrier is, however, that all of this takes work. Readying your data systems for AI is a pain, and sometimes, people can see no value in it. Once you can stand over your data, knowing it is of good quality and understanding its lineage, your organisation will likely be in pretty good shape because you can then move on and digitise your key business processes with confidence. The AI revolution starts and ends with data. Don’t underestimate the effort required to get good quality, well-managed data. It is the foundational work that cannot be avoided. Equally, don’t underestimate the impact. Once you have good data systems in place, you can confidently move forward and capture the full breadth of AI benefits that await.  Liam Cotter is Technology Practice Lead at KPMG

GenAI is evolving rapidly and has the potential to enable CFOs to deliver valuable new strategic insights and predictive analysis to their organisations, writes Vickie Wall Almost every aspect of the finance function has benefited from technological advances in recent years. Those advances include artificial intelligence (AI), natural language generation (NLG), and optical character recognition (OCR). Automation has freed up time to move beyond financial reporting and engage in the provision of strategic business insights and forecasting for the entire business. Many large organisations have been using machine learning and related technologies to assist in areas like fraud and anomaly detection, transaction processing, business forecasting and customer management. However, we are now on the cusp of a potentially transformative leap forward due to the advent of generative AI (GenAI). This technology can democratise data science and analytics and put coding skills in the hands of just about everyone with the ability to interact with it. It will no longer be necessary for a CFO or finance team member to be skilled in specific programming languages or database query skills. Once they can explain in plain language what they want GenAI to do, the technology should do the rest. AI will be able to take structured and unstructured data from within the organisation and external sources to provide various outputs like trend analyses and forecasts, with numerous variations based on factors like seasonality or user-defined future events. Having done so, it can offer best, mid and worst-case scenarios to aid C-suite decision-making. This capability, which was formerly the sole preserve of skilled data analysts and programmers, is now in the hands of everyone with access to GenAI and who has received basic training on how to interact with it and is willing to experiment. Understanding data science Certain skills are required no doubt, not least of them the ability to understand accounts and financial reporting standards. Beyond that, CFOs and finance teams will need to become familiar with data science, at least to a small extent. This will not necessarily present a major challenge as finance professionals have been using business intelligence systems for many years. However, they will have to develop a much deeper understanding of the topic if they are going to uncover the next layer of value which lies within the data at their disposal. Having the tools to carry out the analysis on your behalf is just one-half of the equation. Knowing what you want to achieve through the analysis is the other. The importance of “prompting” and the ability to do this well will become a key skill in extracting the most from these tools. Currently, GenAI is viewed as a separate tool that operates independently of other software systems. That will remain so for certain general applications, but increasingly it will become an integral part of the software systems used every day in organisations. In future, CFOs and finance professionals will use AI to interact with those systems in different ways. They will use natural conversational language to create reports, run analyses, and produce forecasts. The skill will lie in knowing what questions to ask and recognising where the data’s potential value might lie. The need for knowledge beyond AI A new approach to data gathering will be required when it comes to GenAI. CFOs will need to look beyond finance to other functions and departments to source data for use in forecasts and strategic guidance, as well as to understand those departments’ key needs. That will require knowing where data gets sourced from, how it flows from one system to another, where the bottlenecks lie, where data is leaking or getting lost, and what issues need to be addressed to improve data availability. Having access to that data from across and outside the business in the form of external market reports will be paramount to realising the benefits of GenAI in the finance function. GenAI is far from faultless, however, and trust is a major issue. For example, no CFO will be willing to sign off on financial statements if the finance team does not know how to check the GenAI outputs they are based on. Explainability is another challenge. If a certain system is being used to produce statements or reports, the CFO must be able to explain how it works and how it comes to its conclusions. And therein lies another issue: inconsistency. At present, you can ask GenAI the same question 50 times and get a different answer on each occasion. That may be acceptable for marketing content, but it certainly will not work for financial statements and forecasts, where trust and data integrity are of utmost importance. Fortunately, GenAI developers and organisations integrating the technology into other software systems are addressing these issues and the technology is improving at a rapid pace, but it is still not at a stage where it can be fully relied on. Humans will need to be always kept in the loop to verify the outputs and ensure that the systems are not hallucinating or being creative when they should not be. The use of GenAI by CFOs and finance functions to support strategic decision-making in their organisations will soon be a competitive differentiator. This means that even if they are not currently using GenAI in their organisations, CFOs need to experiment with it and understand how it works, what it can do, and the value it can bring to the business. More importantly, they need to help instil an experimental culture within the organisation where employees at all levels are encouraged to bring forward ideas for use cases without fearing repercussions for aborted pilots or lack of investment. CFOs who fully embrace this early-stage trial and error will ensure that they are not left behind when the technology evolves to a point where it can be trusted, is consistent in its outputs and is fully explainable. Transforming finance functions GenAI has the potential to transform the way finance functions operate and the strategic insights and guidance that CFOs can bring to their organisations. To realise that potential CFOs will need to understand the business needs across different departments, gain access to data from across the organisation, develop basic data science skills, and perhaps experiment with the technology to understand how it works, how to interact with it and how it can deliver value to the business. Vickie Wall is Financial Accounting Advisory Services Leader at EY

Artificial intelligence has the potential to usher in a bright new era for Chartered Accountants who could enjoy an elevated role in business and finance Having recently closed a €60 million funding round, AccountsIQ founder and Chief Executive Tony Connolly, FCA, is preparing for significant investment in artificial intelligence (AI), which will, he says, allow the Dublin-headquartered tech venture to “shape the finance function of the future.” The Series C funding from Axiom Equity, a London-based growth fund, has come at the “perfect inflection point” for AccountsIQ, Connolly says. “We’ve just hit a critical milestone with over 1,000 customers and users in 80 countries and now we’re poised to take AccountsIQ to the next level,” he says. The investment will allow AccountsIQ to leverage AI tools into practical, easy-to-adopt services for finance teams, Connolly says. The firm will also use the funding to double its headcount to 200 people in Ireland and other markets. It is an exciting time for AccountsIQ, which was launched in 2004 by Connolly, with founding members Darren Donohue and Gavin McGahey on board. By that time, Connolly had qualified as a Chartered Accountant with KPMG and then studied systems analysis and design at Trinity College Dublin. It was while working in practice consulting, designing complex finance systems for large organisations, that he spotted a gap in the market and decided to set up his own company, bringing Donohue and McGahey on board as his first employees. AccountsIQ is a financial management system (FMS) for international businesses operating across multiple locations and entities. The platform handles complex financial processes, such as multi-currency consolidation, multi-level approvals and third-party integrations while also automating daily processes for finance teams.  Looking beyond the hype The emergence of the web in the early 2000s was the catalyst for the business and Connolly sees similar potential in the emergence of AI and its scope to support and enhance the finance function of today. “I remember the advent of ‘the cloud’ and knowing it would be the future for AccountsIQ. The challenge then was convincing accountants that taking their data off-premises and putting it online would be safe and secure, but that has completely changed in the years since,” he says. “Now with AI, we’re seeing a lot of hype and some fear, but we’ve already been on a long journey ourselves with machine learning and automation, so we don’t see AI in 2024 as being ‘revolutionary’. “We view it today as a catalyst for the further development of automation and machine learning and as a digital assistant we can use to help make the work of finance teams easier. I think that is really what it means for Chartered Accountants generally.  “It won’t be replacing them. It will just take the drudgery out of processing and recording transactions and managing things like controls and reconciliations. “That just means that Chartered Accountants and finance teams will have more time to focus on helping to drive their business or organisation forward with access to the right tools and information.”                                                         AI and financial reporting Research released in May by KPMG found that AI is already in widespread use in financial reporting in Ireland, with close to two-thirds (63%) of the financial reporting executives and board members surveyed in Irish companies reporting that they were already using or piloting the technology. AI in financial reporting and audit: navigating the new era surveyed financial reporting executives and board members at 1,800 companies globally, including close to 100 in Ireland. Among Irish respondents, AI is viewed as a “game-changer,” the research found, with two-thirds reporting that their board had already developed a vision or strategy for AI adoption. “The adoption of AI today, and its impact tomorrow, is very much on the agenda at board level among the Irish companies we surveyed and their global counterparts,” Niall Savage, National Head of Audit Markets with KPMG in Ireland, says. The major focus currently is on identifying the most advantageous AI use cases. “Right now, the emphasis is on learning to understand AI, its capabilities, its limitations, the opportunities it may bring and, indeed, the potential threats,” Savage explains. “I was heartened to see in our findings that companies are not focusing solely on AI’s potential to cut costs. That would be a mistake, so it’s encouraging to see that they are instead thinking about identifying the opportunities.” As a technology that is still in its infancy, commercially speaking, AI has scope to encompass much greater capabilities in the future with potential applications of value to companies and their finance teams. “The tools out there and available for use right now – the likes of ChatGPT – are already showing us the great work AI can do in collating and interpreting data from multiple sources to answer our questions in real-time,” Savage says. “This is just scratching the surface, however. What businesses are focusing on now is how they can bring all the relevant data together to enable AI to facilitate much faster strategic decision-making in the future – to spot trends, opportunities, anomalies and potential risks, for example.” For Chartered Accountants and the wider finance team, the upshot will be change – change in the way they work, their capability and their role in the workplace. “For accountants in the future, there will be less need for research, bringing data together and writing up reports – AI will be able to do all of that far more efficiently,” Savage says. “In its place, accountants will have more time to focus on more meaningful work. They will not be under as much pressure to use their time to ‘get the numbers right’. “They will be even more involved in key decisions. They will have even more opportunities to have a place at the top table. The profession could change radically and, I think, very positively.” Upskilling for the AI world To benefit from this transition, Chartered Accountants will need to upskill and align their knowledge and experience with AI, a technology that has the potential to elevate their role in business and finance. “It’s a bit like the rise of Microsoft Excel in the nineties. At that time, even the finest technical accountants had to learn to use this technology – and learn to use it well and use it quickly. AI is the same,” Savage says.  “There will always be the need for the accountant to verify the information AI is giving them and, ultimately, to make the decisions. The need to exercise caution, judgement and governance will always be the remit of the accountant, even as AI evolves into the future.”   He continues: “The top use case identified by respondents in our survey was AI’s potential to provide critical, real-time information that can then be interpreted to deliver tangible benefits – for businesses, this might mean understanding where to allocate capital, where to invest or where they might have a problem. “This will really put Chartered Accountants and Chief Financial Officers across the globe at the coalface of business commercially. We will be the people who interpret the data to bring real value to the organisation. We will continue to be custodians as we are today, but with much more powerful tools at our disposal.” Chartered Accountants Ireland Chartered Accountants Ireland welcomes the advance of AI and sees it as a significant opportunity for the profession.  With every advance in technology over the course of the Institute’s 136-year history, the profession has adapted.  “The pace and advancement of AI is an aid to the accountant who can entrust the tools to perform functions that previously required manual input,” says Ian Browne, Director of Education at Chartered Accountants Ireland.  “In this way, we see the advancements in AI as an enabler for new economic activities for the profession.” Since 2017, the Institute’s Education Department has been reforming the educational syllabus for its primary qualification, with the introduction of principles-based teaching materials in several areas. This work has spanned data analytics, data visualisation, robotic process automation, blockchain, cryptocurrency, sustainability – and AI.  Launched in 2019, the evolved syllabus reflects the lived experience of the accountant in practice and industry, Browne says.  Two years ago, the Education Department formalised the findings of a major research project. Project Athena proposed to teach the latest advances in technology and emerging accounting practice, while incorporating emerging trends in accountancy, using a blend of the most up to date technology and teaching pedagogy. “The Education Department has been preparing the output of Project Athena with the launch of a new multi-disciplinary qualification beginning in September 2025,” explains Browne. “Part of the remit of the Education Department is to ensure that we keep abreast of technological developments, assess their future value and determine how they will affect the lived experience of a Chartered Accountant.  “Only then do we consider when to add the underlying principles of these advancements to the Chartered Accountant qualification. It can be easy to get carried away by the hype cycle attached to new developments in technology, but we only add new elements to syllabi that can meaningfully add tangible value to our students and economic value to the profession.” AI and attracting younger candidates In June, Belfast-based RBCA announced a £50,000 investment in AI. Partnering with Xero, the Chartered Accountancy firm will use the technology to reduce manual tasks and administration, automate bookkeeping and generate reports and forecasts. RBCA founder Ross Boyd believes the investment will allow his team of 20 to focus more on servicing and consulting with existing clients, while also building new business relationships. “When used correctly, I think AI can transform the professional services sector for the better by removing the focus on repetitive, routine tasks, such as data entry and document processing. It can free up employees to focus more on complex and relationship-led tasks,” Boyd explains. However, while AI can learn from data and make predictions, it will “never replace the value of human judgement,” Boyd says. “Chartered Accountants will need to respond to AI, and its increasingly prevalent place in our work, by adapting, training and upskilling. There is no way around that, as far as I can see, but AI will not replace the role of the Chartered Accountant. “It may remove the burden of repetitive and time-consuming activities for Chartered Accountants, giving us more capacity to tackle the challenges only the human condition can master, but I cannot see it replacing what we do.” Boyd believes the emergence and uptake of technologies such as AI in the profession may even help to attract younger candidates in the future. “At the end of the day, we live in a technologically minded world, so it’s time to accept new opportunities,” he says. A survey of 2,000 accountants in the UK carried out last year by Intuit QuickBooks found that 92 percent had experienced hiring challenges.  “We have to provide the right learning environment for young people who have grown up using technology to do tasks and solve tasks. Gen Z, now aged up to 26, are becoming more present in the workforce and will account for 27 percent by 2025,” Boyd says. “To continue to attract young people to accounting, I think it’s important that we harness the benefits of technology to position the role – not as monotonous and gruelling – but as interesting, varied and strategic. That is where AI comes in.” Elevated role for Chartered Accountants Brian O’Malley, Senior Manager, Private Client Services – Tax and Law, at EY Ireland, agrees that AI will bring a more strategic, higher value focus to the role of the Chartered Accountant. “Generative AI (GenAI), in particular, is a revolutionary tool for the accounting profession that has the potential to boost productivity, increase revenue and manage risk,” O’Malley says. “As GenAI becomes more prevalent in the years ahead, I think we will see a shift in the role of the ‘traditional’ accountant as the technology assists more and more with quantitative and routine tasks. “We will instead be freed up to spend more time on qualitative work requiring a focus on communication, leadership and ethical decision-making skills.” Accountants who embrace AI by developing the necessary skills to manage and interpret the output of AI systems will be well-positioned to offer greater value.  “Navigating the intricacies of AI outputs responsibly and ensuring that AI-generated insights align with overall business objectives and regulatory requirements, will become a key aspect of our role,” O’Malley says. EY has invested more than €1.3 billion in AI globally, encompassing technology and services, and last year launched EYQ, its own large language model. “I use EYQ myself regularly to assist with administrative tasks and carry out research safely and securely,” says O’Malley, who is based at the firm’s Southeastern headquarters in Waterford city. “AI has brought a sense of excitement to the Southeast in that both large multinationals and SMEs are keen to explore it and ‘unlock its power’ to enhance their everyday business operations,” he says. “This was evident at our recent EY Waterford Generative AI event, which was aimed at helping our local business community to better understand how they can implement it.  “The event was attended by many local businesses, demonstrating the strong interest in the technology and its potential.” This eagerness to harness AI among businesses in Ireland will only benefit Chartered Accountants in the future, O’Malley believes. “If you consider the world in which we work, it is fast-paced and constantly changing, especially from a regulatory perspective. AI has the potential to provide us with the necessary resources to thrive in the modern business world.  “It can help Chartered Accountants to meet our clients’ changing needs and act as strategic partners to businesses as they seek to capitalise on opportunities.  “By effectively harnessing  AI, I think many Chartered Accountants will see their role expand beyond financial statements to encompass that of trusted advisor, strategist and business solution provider.” 

As European lawmakers reach provisional agreement on the final text of the EU Artificial Intelligence Act, Jackie Hennessy and Dani Michaux delve into the potential risks businesses may face In December 2023, European lawmakers announced a provisional agreement on the final text of a new Artificial Intelligence Act (AI Act), giving developers and users of AI systems the first chance to consider in detail what the proposed new framework could mean for them. Businesses are now in a position to consider the role AI plays in their organisation and how to mitigate potential risks that may arise as a result of this new legislative advancement. What is an AI system? According to the Act, an AI system is a “machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as content, predictions, recommendations, or decisions that can influence physical or virtual environments”. Why do we need this Act? The AI Act classifies AI systems into three risk categories: Unacceptable risk AI systems are considered to pose an unacceptable risk and are prohibited by the Act. These practices include systems that target vulnerable people or groups of persons, systems that materially distort a person’s behaviour, the use of biometric categorisation and identification systems and systems that classify natural persons that lead to unjustifiable detrimental treatment. High-risk AI systems are those that, based on their intended purpose, pose a high risk of harm to the health and safety or the fundamental rights of persons, taking into account both the severity of the possible harm and its probability of occurrence.    A General Purpose AI (GPAI) system displays significant generality and competently performs a wide range of distinct tasks regardless of the way the model is placed on the market. It can be integrated into a variety of downstream systems or applications. The Act is intended to ensure better conditions for the development and use of AI and is a pillar of the EU’s digital strategy. Furthermore, the Act takes aim at the emerging issue of ‘deepfake’ technology. Deepfakes are defined as “AI-generated or manipulated image, audio or video content that resembles existing persons, objects, places or other entities or events and would falsely appear to a person to be authentic or truthful”.  The Act places a requirement on deployers of this technology to disclose that the content has been artificially generated or manipulated. Who will the Act affect? The Act will impact both developers and deployers of AI systems and will legislate the following: Human oversight measures for high-risk AI systems; Effective employer obligations for organisations planning to deploy AI in the workplace; Testing of AI systems in real-world conditions; and Implementation of codes of practice for proper compliance with the obligations of the regulation for providers of General Purpose AI systems. The Act represents a major overhaul for businesses developing or deploying AI systems. Businesses doing either in the course of their work should consider how AI can be made compliant with the EU AI Act and what impact this might have on the business and its operational performance. Jackie Hennessy is the Risk Consulting Partner at KPMG Dani Michaux is EMA Cyber Leader at KPMG International