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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

The ethical use of AI and how it is governed today and as it continues to evolve in the years ahead is top of mind for many in the profession. Accountancy Ireland asks three Chartered Accountants for their take on the ethics of AI Owen Lewis  Head of AI and Management Consulting KPMG in Ireland It is crucial for all of us in the profession to ensure the integrity and transparency of solutions driven by artificial intelligence (AI).  We must audit and validate AI algorithms to ensure they comply with regulatory standards and ethical guidelines. Monitoring systems for biases and inaccuracies is also crucial to ensuring that financial data and decisions remain fair and reliable. By providing independent oversight, we can help to maintain trust in AI-driven financial processes and outcomes for clients.  Where AI is used to inform large-scale decisions, it should be supplemented with significant governance measures, such as explainability, transparency, human oversight, data quality and model robustness and performance requirements. This technology is continuing to advance rapidly, and we need to be open to both its current and potential capabilities.  By putting the correct governance mechanisms and controls in place – beginning with low-risk test applications and building from there – organisations can adopt AI safely and obtain real benefits from its use. I am working with organisations to help them think through what AI means for them, develop strategies for its adoption, put the necessary governance and controls in place, scale solutions sensibly and ensure business leaders get real value from their investment.  Whatever their goal may be – more efficient operations, accelerated content generation or improved engagement with stakeholders – we help organisations decide if AI can help, and if it can, how to use it in the right way. >Bob Semple Experienced Director Governance and Risk Management Artificial Intelligence (AI) is one of the most misunderstood, yet transformative, technologies impacting the way we work today. Here are 10 essential steps Chartered Accountants should take to navigate the landscape of AI effectively. Take a leadership role – If we don’t take the lead, we risk missing the golden opportunity AI presents. Conduct an AI “stocktake” –According to a recent Microsoft survey, 75 percent of employees are already using AI. Identifying current AI usage within your organisation is essential. Assess the downside risks of AI – Legislative and regulatory requirements are exploding (e.g. NIS 2, the AI Act, DORA and more) and risks abound (AI bias, explainability, privacy, IP, GDPR, cyber security, resilience, misuse, model drift and more). Organisations must act on their AI responsibilities. Conduct a dataset stocktake – Just as the Y2K challenge was about identifying IT systems, today’s challenge is to catalogue all datasets, as these are crucial for AI functionality. Draft appropriate policies and procedures – Establish clear responsibilities and accountability for AI initiatives. Pay special attention to how AI impacts decision-making processes. Strengthen data curation – Implement new processes to improve how data is collected and used. Identify opportunities for the smart use of AI – Brainstorm and prioritise AI use-cases that can drive efficiency and innovation. Provide training – Ensure that board members, management and staff are all adequately trained on AI principles and applications. Manage the realisation of benefits – Safeguard against excessive costs and subpar returns by carefully managing the implementation of AI projects. Update audit and assurance approaches – Seek independent assurance on AI applications and leverage AI to enhance risk, control and audit processes. As we adopt AI, it is critical that we pay particular attention to distorted agency – i.e. giving too much agency to, or relying unduly on, AI outputs and doubting our own agency to make the most important decisions. Exercising professional judgement is the key to minimising the risks associated with AI and realising its benefits, and that surely is the strength of every Chartered Accountant. *Note: GPT4 was used to assist in drafting this article.   Níall Fitzgerald Head of Ethics and Governance Chartered Accountants Ireland Artificial intelligence (AI) is proving to be transformative, impacting competitiveness and how business is done.  Chartered Accountants Ireland has engaged with members working in various finance and C-suite positions, including chief executives, chief financial officers and board members, to understand how AI is impacting their day-to-day work.  One thing is clear. AI is being used in some shape or form in many businesses across the country.  In 2023, the Institute’s response to the UK’s Financial Reporting Council proposals on introducing governance requirements for the use of AI noted several governance mechanisms that are likely to be impacted by AI currently or in the very near future in many organisations.  We highlighted the focus on corporate purpose and how market forces, emerging threats and opportunities driven by AI, may challenge the purpose of an organisation and its long-term objectives.  AI may impact how organisations decide on their strategic focus in terms of how they deliver their product or service and, indeed, how their product or service is designed in the first instance.  It may also impact these organisations’ values as they consider how to deploy and use AI in an ethical manner. The EU AI Act, which enters into force on 1 August 2024 over a phased basis, introduces requirements for the development of codes of conducts, risk and impact assessments and staff training to ensure adequate human oversight around the use of AI systems within organisations. This has specific resonance for Chartered Accountants who are members of a profession bound by a code of ethics governing objectivity, confidentiality, integrity, professional behaviour and competence and due care. Chartered Accountants must now ensure that they understand how AI uses, analyses and then outputs data.  Organisations must ensure that any AI-driven information they share, and how they deploy the technology itself, satisfies principles of integrity, honesty and transparency.  Chartered Accountants are well-positioned, with their ethical mindsets, to ensure the integrity of AI systems, and their use within organisations.

AI is revolutionising accountancy by automating routine tasks, enhancing data analysis and providing valuable insights for strategic decision-making. Conor Flanagan explains how Artificial intelligence (AI) has emerged as a transformative force across various industries and accountancy is no exception. As AI technologies advance, they are reshaping the accounting landscape by enhancing efficiency, accuracy and strategic decision-making.  The emergence of AI can be traced back to the 1950s when pioneers like Alan Turing began exploring the concept of machine intelligence.  Turing’s famous “Turing Test” proposed that a machine could be considered intelligent if it could engage in conversation with a human without being distinguishable from a human interlocutor. Since the 1950s, AI has continued to evolve through different phases, including the notable period in the 1970s known as the “AI Winter” when there was a significant fall-off in funding and interest in the technology.  Since then, and coinciding with advances in computational power coupled with the development of machine learning algorithms, interest in AI has been reignited, with breakthroughs in natural language processing, computer vision and data analytics paving the way for more practical applications.  This progress, although impressive, has been somewhat dwarfed by the advent of Generative AI in recent years, with companies like OpenAI and its now infamous ChatGPT platform sparking widespread interest in the technology and its potential.  Generative AI has given rise to exciting new systems now capable of performing complex tasks, such as image recognition, language translation and content creation. And for the sceptics among us – no, this article was not written by ChatGPT. The Microsoft experience AI is revolutionising accountancy by automating routine tasks, enhancing data analysis and providing valuable insights for strategic decision-making. At the recent Chartered Accountant Technology Conference, held in January 2024, Daragh Hennelly, Senior Finance Director with Microsoft in Ireland, shared the story of how the company is unlocking business value through AI-enabled outcomes in finance. Microsoft began its AI journey over seven years ago, leveraging traditional AI to create models that could recognise patterns in data and use this to predict and act on potential outcomes, driving significant efficiency gains. Some examples include: Task automation and content creation Microsoft is using AI to automate tasks such as setting up purchase orders and logging expense reports. Streamlining processes and reducing risks Invoice approvals: AI assigns real-time risk scores to automate more than one million low-risk invoices and cuts the manual effort required for the rest by 50 percent, resulting in 125,000 hours of time saved for finance team members who can now use that time to focus on more strategic tasks. Journal entry anomaly detection: Machine learning algorithms have been built to review thousands of journal entries to detect anomalies with the aim of reducing reporting risks or misstatements.  Enhancing contract review efficiency: AI reads and scores thousands of contracts, reducing the time needed for manual review by 50 percent and allowing finance professionals to focus on high-risk contracts. The recurring theme in all these examples is how AI can be deployed to either automate manual tasks previously carried out by Microsoft’s finance team or unearth and present anomalies requiring additional review.  This demonstrates how AI can create efficiencies in finance functions and processes, but as accountants, we still need to be professionally trained to make decisions based on a smaller and more focused sample base.Over the past 18 months, in particular, the opportunity to transform business and finance processes has accelerated with the roll-out of Generative AI and its ability to create original content – such as text, images, video, audio or software code – in response to user prompts and requests. Today, Microsoft is adopting Generative AI to further enhance processes and unlock business value. This opportunity can be categorised across four main areas: Summarise information. Generate content. Recommend actions. Simplify tasks. 1. Summarise information Recap meeting transcripts to capture key points and assign actions. Distil collection agents’ call notes into actionable plans. Flag key terms in contracts related to payments, pricing and discounts. Synthesise complex workflow documents to highlight handoffs and commonalities. Summarise earnings scripts to identify significant trends and highlights. 2. Generate content Draft financial close decks and write analytical comments and insights. Write contractual language based on simple notes. Draft collection calls and follow-up emails in different languages with payment plan details. Write initial internal audit reports and investor relations earnings call scripts. Produce market sentiment analysis using transcripts from corporate earnings calls and central banking authorities. 3. Recommend actions Analyse financial close variances and recommend areas of the business to investigate variance drivers. Define collection strategy based on customer payment history. Evaluate audit workpapers and resolution disputes against audit controls.  Guide users in setting up purchase orders, invoices, expenses and payments. Recommend policy adherence within workflows. 4. Simplify tasks Accelerate financing requests by automating credit checks and policy reviews. Review sourcing contracts to ensure compliance and reduce human error.  Automate Sarbanes-Oxley Act (SOX) operational controls and summarise insights. Prioritise collection emails, tag disputes and identify resolution owners. Streamline tax and customs procedures by identifying compliance obligations from different global jurisdictions. Central to the success of this transformation of finance at Microsoft is a strong culture of encouraging and rewarding employees to leverage new technologies to transform finance processes. As Amy Hood, Microsoft’s Executive Vice President and Chief Financial Officer, puts it, “by adopting innovative technologies, finance will strengthen its business leadership through compliance, accuracy and efficiency.”   Microsoft is at the forefront of the Generative AI wave, advancing ideas of what is possible and investing in AI solutions such as CoPilot. CoPilot is integrated into Microsoft’s applications (Word, Excel, PowerPoint, Outlook and Teams), working alongside the user with the aim of helping them to work more creatively and efficiently.  It is also enhancing business application products such as Power Platform, Business Central and Dynamics Sales, facilitating advanced data analytics and the creation of complex workflows using natural language that would previously have required the intervention of a developer.  AI’s other early adopters Outside Microsoft, there are other examples of organisations that have successfully implemented AI in their accounting processes, demonstrating the technology’s practical benefits in our field.  HSBC The multinational banking and financial services company has implemented AI to enhance its fraud detection capabilities. HSBC’s AI system analyses transaction data in real-time, identifying suspicious activities and flagging potential fraud cases. This has resulted in a substantial reduction in fraudulent transactions and improved security for customers. Xero The cloud-based accounting software provider uses AI to automate bookkeeping and financial reporting tasks for small and medium-sized businesses. Xero’s AI-driven platform can categorise transactions, reconcile bank statements and generate financial reports, saving time and reducing the risk of errors for business owners. AI and ethical risk While AI offers numerous benefits to the accounting profession, it also raises some ethical concerns. These issues must be carefully considered to ensure the responsible use of AI in accountancy. Data privacy and security AI systems rely on vast amounts of data to function effectively. This raises concerns about data privacy and security, as sensitive financial information may be at risk of unauthorised access or misuse. Organisations must implement robust data protection measures to safeguard against data breaches and ensure compliance with privacy regulations. Bias and fairness AI algorithms are only as unbiased as the data they are trained on. If the training data contains biases, the AI system may produce biased or unfair outcomes. This is particularly concerning in areas such as fraud detection and financial forecasting, where biased algorithms could lead to discriminatory practices. It is essential to ensure that AI systems are trained on diverse and representative datasets to minimise bias and promote fairness. Transparency and accountability AI systems often operate as “black boxes,” making it difficult to understand how they arrive at their decisions. This lack of transparency can be problematic in the context of financial reporting and auditing, where accountability is crucial. Organisations must strive to develop explainable AI models that provide clear insights into their decision-making processes. AI and the work of the accountant The automation of routine accounting tasks through AI has raised concerns about job displacement and the future of the accounting profession.  While AI can handle repetitive and mundane tasks, it cannot replace the strategic thinking and judgment accountants bring to the table.  That said, accountants may need to adapt to new roles and develop new skills to remain relevant in an AI-driven landscape. Like electricity, the roll-out of AI will have a major impact on every industry and many professions, but only those who embrace it will learn to harness its power. Accountants must be prepared to adapt to the changing landscape by acquiring new skills and knowledge. Continuous learning and professional development will be essential for accountants to thrive in an AI-driven world. This includes gaining proficiency in data analytics, machine learning and other emerging technologies. Rather than viewing AI as a threat, accountants should embrace it as a valuable tool that can augment their capabilities. By leveraging AI to handle routine tasks, accountants can focus on higher-value activities, such as strategic planning, financial analysis and advisory services. AI is undeniably transforming the field of accountancy, offering numerous benefits in terms of efficiency, accuracy and strategic decision-making.  From automated data entry and fraud detection to financial forecasting and auditing, AI is revolutionising traditional accounting processes. Its widespread adoption also raises important ethical questions, however. To fully realise the potential of AI while addressing this challenge, organisations must prioritise ethical considerations while also investing in reskilling and upskilling their people and fostering collaboration between humans and AI.  By doing so, the accounting profession can harness the power of AI to drive innovation and deliver greater value to clients and stakeholders. If you have found this article interesting, join us for the next Chartered Accountants Ireland Technology Conference on Friday 24 January 2025. Conor Flanagan is ERP Lead with Storm Technology and a member of the Technology Committee of Chartered Accountants Ireland