DBT Bureau
Pune, 2 March 2025
Accounting professionals have an important role to play in supporting their organisations to achieve AI adoption and implementation, according to new research from the leading global accountancy body, ACCA (the Association of Chartered Certified Accountants).
According to the latest in the series of ACCA’s AI Monitor reports, Risk and Responsibility, AI tools augment human capabilities while raising new questions about control, reliability and professional responsibility.
When it comes to classifying AI risks, a couple of immediate threats for many organisations related to the significant amounts of investment being committed and either unrealistic expectations or poor judgement concerning the potential impact of integration.
While AI continues to promise huge potential, real value remains far more elusive and difficult to quantify.
ACCA believes success will come through combining traditional financial acumen with new forms of technological oversight to maintain the profession’s fundamental role as arbiters of trust and integrity. These capabilities don’t replace professional judgement, but underscore its importance.
Professional judgement and critical thinking will be fundamental to dealing with AI-generated insights. Demonstrating the application of professional expertise and documenting how decisions are made when using AI is important to support transparency and accountability.
Md. Sajid Khan, Director – India at ACCA said: ‘Safely introducing AI into how our organisations work and make decisions isn’t just about technology – it’s about redefining how we exercise things like professional judgement. As regulatory frameworks evolve and AI capabilities expand, success will depend on striking the right balance: leveraging AI’s analytical power while strengthening professional expertise.’
Alistair Brisbourne, head of technology research, ACCA, said: ‘Traditional concepts of materiality and professional scepticism are being reframed in the context of AI systems that can analyse entire datasets rather than samples during an audit, for example. This shift challenges accountants to think differently about risk assessment and the nature of professional evidence.’
While professionals don’t need to be technical experts, they need sufficient understanding to exercise appropriate judgement. Being an AI specialist in every application is impossible. Instead, the profession needs to develop consistent frameworks that ensure uniformity in language and practice across different projects and applications.
The report points out that accountants are uniquely positioned to harness AI’s potential while maintaining robust safeguards. But their role in AI risk management extends beyond traditional financial controls. Moving forward, their contribution must reflect a three-layered approach: data, architecture, and business impact.
Brisbourne added: ‘Organisations need to build principles of transparency, accountability and clear procedures for monitoring and improvement into their AI adoption and implementation plans. If they do that, they’ll find themselves well-positioned to leverage new capabilities and meet changing regulatory and stakeholder expectations.’
