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How AI is rewriting the value equation for accountants

Mon, 10th Nov 2025

AI is reshaping accounting faster than many expected. According to CPA Australia, nearly every business is experimenting with AI, with accounting and finance teams using it for data analytics, forecasting, and insights. Amid ongoing economic volatility, the benefits AI provides - from speed and accuracy to complex financial analysis - become even more valuable. AI has the potential to reshape an accountant's role, from bookkeeper to strategic advisor.

But while adoption is accelerating, confidence isn't keeping pace. Many businesses are questioning how to get real value from AI investments and how to measure ROI. Smaller firms may feel they are being left behind, lacking the internal resources or expertise needed to deploy AI effectively. Yet those who delay risk losing ground to competitors already realising gains in efficiency, productivity, and client satisfaction.

That tension between opportunity and uncertainty is defining this new era. The challenge is not solely about adopting AI. It is about ensuring AI is designed around business needs, so that AI can help achieve business goals while keeping human judgment, context, and oversight at the forefront.

Rapid adoption, real hesitation

NetSuite recently surveyed its customers and found that 75% of users are already using AI weekly, with 56% incorporating AI into their everyday work-related tasks. In accounting, firms are leveraging AI for tasks such as research, tax return preparation, and bookkeeping services.

Yet, even among active users, many remain cautious. Users are uncertain how to best integrate AI in their workflows or whether the insights it produces can be trusted. Some even fear automation will replace the human side of accounting. In reality, AI won't replace accountants, but it will redefine their work.

Skilled professionals will remain critical, their roles evolving to focus less on administrative, routine tasks and more on higher-value activities such as advising clients, interpreting data, driving strategy, and applying judgment where technology cannot.

What AI must deliver

To create lasting value, AI must focus on outcomes that matter most to a business: productivity, insight, control, agility, and collaboration. It should fit naturally into existing workflows so that businesses can realise the benefits within their existing daily job structure. 

Capabilities such as conversational intelligence, workflow automation, and natural language search allow users to interact with their systems and more intuitively and achieve faster results. When AI understands a user's context – guided by existing roles, permissions, and data policies – it can deliver insights and recommendations that are both accurate and actionable to provide immediate value.

To build trust, features such as a "transparency link" can show the source of answers and data, ensuring accountability and reducing the risk of error.

Rethinking ROI in the age of AI

Measuring the business value of AI is difficult to quantify, but it is too important to ignore. While there are clear savings, such as reduced processing costs and fewer late fees, AI also yields many intangible benefits that are harder to calculate through traditional ROI formulas. Indirect ROI may include better process transparency, stronger vendor relationships, and higher staff morale and retention that should still be included in financial analysis.

There's also a growing competitive dimension. As more accounting clients adopt AI themselves, they expect their advisors to lead with the same confidence and capability. Firms that invest now will be better positioned to provide proactive, data-driven insights.

Part of building that confidence comes from measuring and communicating the real returns AI delivers - both tangible and intangible.

The new value equation for accountants

AI is here, and it's advancing quickly. Therefore, it is vital that accounting firms start leveraging current AI capabilities now. Finance is at the core of every business, and it needs to know not only what happened in the past but also to forecast the future with relevance and confidence.

Firms that use AI only for efficiency will miss its real value: enabling accountants to evolve into strategic partners who interpret data, forecast trends, and guide decision-making.

Finally, AI's real promise for accounting lies beyond automation. It's in transforming how firms generate insights, deliver value, and gain a competitive edge. Those who embrace that shift now to turn automation into advantage will define the next era of the profession.  

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