AI is no longer a future concept; it is actively transforming how businesses operate today. From financial reporting to workforce planning, AI is reshaping not only how work gets done, but what work looks like. A survey conducted by KPMG earlier this year identified that the percentage of finance organisations that have adopted AI has jumped from 30% in 2024 to 75% in 2026 – a consistent trend that can be viewed across all industries and company sizes¹.

As explored in Aon’s perspective on workforce transformation, the real shift is not just technological, it’s structural. Organisations are now designing operating models where human expertise and digital capability work together, supported by clear governance and defined roles².

For accountants and financial services, this shift presents a powerful opportunity to unlock efficiency and insight. In practical terms, what can this look like?

The immediate benefits of AI adoption may include:

• Automation of repetitive tasks, reducing manual workload
• Improved accuracy, minimising costly human errors
• Real-time insights, enabling faster decision making
• Scalability, supporting business growth without increasing headcount.

While AI unlocks new capabilities, it also introduces new and evolving risks, making business insurance and risk management a greater consideration for small businesses.

Aon Insights highlight the importance of defining clear guardrails, accountability and governance structures as organisations integrate AI into their operations².

Key risk considerations

• Professional liability: AI-generated data or reporting errors may expose businesses to claims.
• Cyber risk: increased reliance on data-driven systems heightens exposure to breaches and cyber threats.
• Regulatory compliance: automated systems must align with evolving tax and reporting requirements.
• Over-reliance on AI: decisions made without human oversight may lead to costly mistakes, and may result in a failure to meet your obligations to verify your reports and data³.

Building an AI-ready workforce

AI is also driving a fundamental shift in skills. As highlighted by Aon Insights, organisations must prioritise reskilling and continuous learning to build confidence and capability in AI adoption².

For accountants, key focus areas include:

• Data literacy and analytics
• Understanding AI tools and limitations
• Risk management and governance.

In 2026, the most in-demand skill across the broader job market has been AI literacy⁴.

For accountants adopting AI, the biggest challenge and opportunity lie in the quality of the data underlying AI systems. More than one-third of organisations (36%) see improving data quality, integration and system interoperability as the key to unlocking greater value from AI, highlighting that success depends more on reliable data than technology itself¹.

At the same time, financial organisations must build stronger data fluency skills, enabling colleagues to assess data quality, interpret AI-generated insights and translate them into business decisions. Leading organisations are addressing this by both upskilling existing finance staff and selectively hiring talent with stronger data and AI capabilities, recognising that workforce capability is just as critical as data readiness for successful AI adoption.

This is also relevant for employees, especially those in entry-level or graduate roles, as predictions have long pointed out the effect automation will have for those roles in the future. While this rate of replacement may be slow and take many years due to cost and inertia of most businesses, it’s important for accountants to ensure they are upskilling and diversifying their capabilities to suit higher-skill roles like financial planning and analysis³.

A balanced approach to AI adoption

The organisations that will succeed in the AI era are those that strike the right balance between leveraging technology, while maintaining human verification and risk controls².

Key principles include:

• Start with targeted, high-impact use cases
• Implement clear governance and accountability
• Maintain human verification of data, reports and findings. AI is a tool to support your expertise, not replace it. AI works best when it is paired with human judgement
• Align AI adoption with a broader risk and insurance strategy.

AI is transforming accounting and small business operations, unlocking efficiency, enabling smarter decisions and accelerating growth. But it is also reshaping the risk landscape, requiring businesses to adopt a more integrated approach to governance, skills and insurance.

AI adoption should be approached in a measured and disciplined manner, supported by appropriate governance frameworks, informed consent processes, sound data management practices and a consideration of insurance arrangements. AI is intended to support, rather than replace professional judgement and expertise. Accountants remain responsible experts for their services provided and must ensure the accuracy of their advice.

References

1. KPMG AI in Finance Report 2026
2. Aon Insights
3. Aon Liability for Accountants in the Age of Automation
4. Insurance Business, Aon Study Flags Australia's AI Workforce Gap

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