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 ChatGPT and the Future of Accountancy

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By Russell Gammon, Chief Solutions Officer at Tax Systems

 

ChatGPT, along with other generative AI technologies such as Google Bard, Midjourney, Dall-e, and many others, are technology’s current white-hot topic. Their capabilities are being touted as tech’s next big disruptor and arguably represent the most significant emerging trend seen in many years.

Across many sectors of the economy – accountancy included – professionals are asking the same sort of questions, particularly “What does this mean for us?”. More specifically for the accountancy profession, does AI represent a challenge to the viability of workers across the sector or an opportunity to bring innovation to existing approaches?

Only time will tell

Part of the challenge here is that it’s a little early to be certain. In theory, advanced generative AI systems have the potential to revolutionise how the accountants of the future will work. For example, existing time-consuming and manual tasks, such as reviewing large numbers of invoices, could be allocated to AI systems to complete more rapidly than their human counterparts.

Indeed, there is significant scope for using AI to deliver efficiency gains across the board. Whether it’s resolving tax coding problems or completing simple corporation tax returns, systems like ChatGPT have already proven themselves capable of handling tasks like these with speed.

Russell Gammon

Dig deeper, however, and there remain some important challenges for these systems to overcome. The likes of ChatGPT and Google Bard, for instance, provide users with an accuracy disclaimer, warning that they may produce inaccurate responses or information. As a result, any accountancy professional, team or business needs to augment their use of generative AI with processes to detect and remedy inaccuracies at the earliest stages of each process.

Without able checks and balances, AI users are relying on trust to ensure the tasks they allocate to these products will be completed in accordance with professional standards and wider regulatory requirements. In the near term, it’s not likely that these tools will be able to complete complex tax returns, for example. Equally, if not more, challenging will be working out a process to exercise effective governance over any complex determinations produced by AI systems.

In this context, reliance on human specialists remains fundamental to the integrity of accountancy processes – a situation unlikely to change any time soon. For the time being, at least, it’s arguably more sensible to view generative AI as an additional co-worker, able to carry out specific tasks, such as effectively analysing large amounts of data, rather than a direct replacement.

Embracing AI tools for enhanced efficiency and innovation

Today, however, there are genuine potential productivity benefits of applying AI to accountancy processes. Asking ChatGPT about how it and other AI tools will change the accountancy profession offers a revealing and insightful perspective:

“AI-driven tools like ChatGPT will transform the accountancy industry by automating routine tasks, enhancing decision-making, and improving client communication. They will enable accountants to focus on higher-value tasks and offer personalised services, while also aiding in real-time financial analysis and fraud detection.”

In fact, professionals across the industry are already applying ChatGPT and other AI tools to augment their capabilities to help use valuable professional time more effectively. Given that these systems are currently very affordable compared to existing technologies and the cost of labour, there is already a growing demand for AI-driven innovation from professionals and teams of every size and type.

What’s more, at a time when there is tough competition for talent across the sector, effective implementation of AI also has the potential to help employers create more attractive career pathways. Relieved of repetitive and mundane tasks, for instance, many accountancy professionals will find they have more time to focus on strategic tasks where human experience and expertise cannot be replaced. In these circumstances, forward-thinking organisations should consider carefully how they can embrace generative AI to help maximise their professional talent pool.

AI to aid, but never replace, accountants

Looking ahead, for those industry professionals who are already passionate about the role of technology in accountancy, it’s time to get involved and build experience. For everyone else, generative AI is an important nascent trend that should be closely monitored. As more products and services emerge – as they undoubtedly will – AI-augmented accountancy is certain to become a powerful driver of efficiency and performance. The potential to freely access such a powerful tool is a transformative game-changer for the industry – allowing accountants to switch to ‘manager mode’  and letting the AI co-worker do the grunt work.

As ChatGPT puts it when asked about AI’s future role in the profession, “Accountants should embrace these technologies and develop skills in data analysis and strategic advising to stay relevant in the evolving industry.”

Finance

How technology can help win the war on financial crime

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By Andrew Doyle, CEO of AML compliance software, NorthRow

 

Financial crime is on the rise and the stats are alarming. In the UK alone, 64 percent of businesses (according to data from the Global Economic Crime Survey) have experienced fraud, corruption or other incidents of financial crime within the last 24 months, while ONS stats show there were 3.7 million incidents of fraud in England and Wales in the year ending December 2022.

So it’s no surprise that financial institutions and other regulated firms are under increasing pressure from regulators (and the ever-evolving legislation they must adhere to) in the battle against dirty money. Regulators are imposing crippling fines for any compliance breaches, not to mention the significant reputational damage that comes with non-compliance.

Historically, financial firms have employed large numbers of staff to combat money laundering, but regulators are now expecting to see digital solutions in place to counter the risk of financial fraud, and with good reason. Technology can be the deciding factor in the war on financial crime and here’s why:

Better risk detection

Technology platforms can analyse historical data to predict potential incidents of money laundering, enabling organisations to take preventive measures, while also identifying unusual patterns or changes in customer risk profiles, which may also indicate suspicious activity.

Advanced analytics can help companies identify complex patterns across large datasets, making it easier to detect networks of fraud. It is also possible to assign risk scores to transactions or entities based on their likelihood of being associated with money laundering. This helps in prioritising high-risk cases for investigation.

Andrew Doyle

Enhanced customer due diligence

Automated software platforms can analyse customer information, public records, and other data sources to perform thorough due diligence on clients, identifying potential risks or suspicious behaviour before they are signed up.

RegTech automates the process of verifying customer identities and conducting enhanced due diligence on individuals and on companies, ensuring compliance with Know Your Customer (KYC) and Know Your Business (KYB) regulations, both vital components of anti-money laundering efforts.

More accurate identity verification

Biometric verification is a powerful tool in enhancing anti-money laundering and fraud detection. It involves using unique physical or behavioural characteristics of an individual to verify their identity. Traits like fingerprints, facial features, iris patterns, and voiceprints are unique to each individual and are nearly impossible to replicate or forge. This makes them highly reliable for verifying that clients are who they say they are.

Biometric verification can also reduce the number of false positives in fraud detection by providing a highly accurate means of confirming the identity of a customer. This leads to more reliable results and lessens the need for manual intervention.

Continuous and real-time monitoring

Real-time alerts allow for immediate action when suspicious activity is detected. This can prevent or minimise potential financial losses and damage to a company’s reputation. By identifying and acting upon suspicious activities in real-time, financial institutions can reduce the risk of financial losses associated with incidents of economic crime.

Continuous monitoring with real-time alerts can also help refine the accuracy of anti-money laundering systems over time. This reduces the number of false alerts and decreases the need for manual intervention.

To the future

According to data from Capgemini, 68 percent of UK institutions are already looking into real-time anti money laundering monitoring systems to stay ahead of potential threats while 86 percent, says Refinitiv, agree that innovative digital technologies have helped them identify financial crime.

So the data tells us that companies are already heading in the right direction when it comes to fighting fraud, but as the landscape of financial crime continues to evolve, financial firms must ensure they do the same.

By leveraging the right technology, businesses can ensure they not only meet regulatory requirements and safeguard their operations, but also protect their reputations and crucially, maintain that all important customer trust.

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Finance

In 2024, payments will evolve to broaden accessibility

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Attributed to Roy Aston, COO at Paysafe.

 

As we look to 2024 and beyond, businesses will need to adapt experiences to changing consumer needs and demands, working with payments providers to increase accessibility, offer broader choice, and more.

We break down some the forces driving evolution in payments over the coming years.

Payments need to be available to everyone, everywhere

Regardless of their location or situation, consumers do not want to wait when it comes to payments. The proliferation of smart devices has given users access to everything, all at once, and this is also expected when making transactions.

In 2024, banks and financial institutions will continue to push ahead with this journey to offer smooth, secure payments to everyone, everywhere, delivering services at the lowest possible barrier to entry. This also means ensuring consumers, even those that are unbanked or underbanked, have access to remittances and cross-border payments.

The first step in achieving this goal will be to improve reliability, security and availability, which may see traditional payment methods like debit and credit cards – still the most popular payment methods – become less dominant, while alternative payment methods (APM) like eCash and digital wallets will grow.

This is because, with the right payment provider, merchants can ensure these APMs are available anywhere in the world – eCash, for example, does not require a bank account to use. In addition, digital wallets and online cash can offer swift, secure transactions, helping users overcome security issues by not requiring them to enter their financial details.

Financial companies will embrace collaboration in 2024

While businesses can address consumer payment concerns using APMs, they must also look to bolster their own defences as the threat landscape changes. Increasingly advanced technology, like AI models, are now accessible to far more people, including threat actors.

To combat this escalating threat, it’ll be no surprise to see more financial companies collaborate in 2024 as they seek to improve cyber risk mitigation. This makes perfect sense – and would be a positive step for the industry – though it is easier said than done.

Businesses must share data legally, while aimed toward a positive purpose, rather than for pure profit. For example, if a financial organisation gains intelligence on a cyber group, they could share this with other companies to protect against bad money movement.

Ideally, collaboration could help improve anti-fraud, anti-money laundering, and cyber security measures, and more broadly reduce risk for businesses and consumers alike. But first, thinking around data governance may need to change.

Existing trends will evolve

While exciting new trends will emerge in 2024, we’ll also see the evolution of some that have yet to reach their full potential.

Embedded payments, for example, will continue to develop, with more businesses bringing together financial products with features like loyalty schemes to offer more added value to consumers.

Decentralised finance, too, should continue to build momentum in 2024. While decentralised finance, and specifically NFTs, have faced challenges this past year, it will be no surprise to see companies get to grips with changing regulatory requirements and continue to build in this area.

Open banking could also see a big 2024, with more APIs becoming available, and companies starting to develop new solutions to enhance customer experience and reduce friction in the payment ecosystem.

And while evolution rather than revolution is a necessity in technology, it’s always exciting to look ahead to the big trends that could shape the future – perhaps not in the year ahead, but beyond.

The future is quantum

Quantum computing is a trend that is as exciting as it is potentially frightening. Able to perform computations that are exponentially faster than ever before, quantum computing represents a new frontier and it will be thrilling to see how it is used in the years ahead.

Combined with AI, for example, quantum computing could optimise processes at a speed and scale never seen before – with serious benefits passed onto consumers.

In the nearer term, however, ensuring payments are available and accessible for everyone must remain the focus in 2024.

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