How is AI changing the role of accountants, and how can finance professionals move from repetitive compliance and bookkeeping towards more strategic business advisory?
AI is changing accounting in a fairly fundamental way: it is separating the work that requires judgment from the work that simply requires processing. Bookkeeping, reconciliation, invoice entry, categorisation and report preparation are important, but much of this work is repetitive and rules-driven. AI can increasingly handle the first layer of that work, allowing accountants to spend more time reviewing exceptions, understanding the business and advising owners.
I don’t see this as AI replacing accountants. I see it as AI removing the least valuable parts of an accountant’s day. At AI Accountant, for example, AI can read bank statements and invoices, categorise transactions, reconcile entries and prepare them for Tally, while humans remain responsible for review and judgment.
The opportunity for finance professionals is to move closer to the business. Instead of answering “what happened last month?”, they can help answer “why did it happen, what should we do next, and what does this mean for the business?”
India’s MSMEs often lack the real-time financial visibility available to larger enterprises. How can AI help smaller businesses make faster, more informed decisions around cash flow, profitability and growth?
For many MSMEs, the problem is not that the financial data does not exist. It is that the data is sitting inside accounting software, spreadsheets, bank statements and invoices, and the business owner has to depend on someone else to interpret it.
This creates a strange situation: a business can have a reasonably sophisticated accounting system, yet the founder may still not know how much cash they have today, which customers owe them money, what they need to pay suppliers, or how much they sold this week.
AI can change that by turning accounting data into something accessible in real time. AI Accountant’s dashboards bring cash flow, receivables, payables and profitability together, while our AiA Bot allows founders to ask questions about their financial data directly through WhatsApp. They don’t need to learn accounting software or wait for a CA to send a report.
That shift, from financial information being prepared for owners to financial intelligence being available to owners, is potentially much more important than simply automating bookkeeping.
What are the biggest challenges businesses face when adopting AI for accounting and finance, particularly around accuracy, compliance, data security and trust?
The biggest challenge is trust. When AI is helping write a social media post, an imperfect answer is inconvenient. When AI is touching a company’s books, taxes or financial reporting, the consequences are very different.
That means accounting AI cannot simply be judged on whether it produces a plausible answer. It needs strong controls around data, auditability, compliance and human review. Businesses need to know where a number came from, what source document supports it, and who approved it.
There is also a practical challenge around India’s fragmented financial data. Businesses still operate across Tally, Excel, PDFs, scanned invoices, bank statements, email and WhatsApp. AI therefore has to work with the messy data businesses actually have, rather than expecting them to first transform their entire technology stack.
The right model is not “AI makes every decision.” It is “AI handles what it is confident about, flags what it is not, and keeps a human accountable for important decisions.” That combination is what builds trust.
As AI takes over tasks such as bookkeeping, reconciliation and invoice processing, how do you see the finance function evolving over the next few years?
I expect finance teams to become smaller in terms of manual processing but more valuable in terms of judgment.
Today, a significant amount of an accountant’s time can go into collecting documents, entering data, matching transactions, chasing information and preparing reports. As these workflows become automated, the accountant’s role will increasingly shift towards exception management, controls, forecasting, analysis and business advice.
I also think the finance function will become much more continuous. Historically, accounting has been retrospective: close the books, prepare the report, review what happened. AI can make finance much more real-time.
That will change expectations from business owners. They will increasingly ask not just for a monthly P&L, but for answers throughout the day: How much cash do I have? Which customers are overdue? Can I afford this purchase? Why did margins fall? Where is my working capital getting stuck?
The accountant of the future will therefore spend less time producing numbers and more time helping the business act on them.
What will define the next generation of finance technology in India, and how can AI help make financial intelligence more accessible to millions of small and mid-sized businesses?
The next generation of finance technology in India will, in my view, be defined by accessibility rather than complexity.
For years, financial software has largely been designed around the needs of accountants and finance teams. That makes sense from a compliance perspective, but it creates a gap: the person running the business often does not want to log into accounting software just to understand what is happening financially.
AI gives us the opportunity to build a different interface. Instead of asking an owner to understand ledgers, reports and accounting workflows, we can let them simply ask a question in natural language and get an answer based on their underlying financial data.
That is why something as simple as WhatsApp can be powerful in India. With AiA Bot, a founder can ask about cash, receivables, payables or sales without opening an accounting application. The interface becomes familiar, while the complexity stays underneath.
Ultimately, I think the biggest impact of AI in finance will not be that businesses need fewer accountants. It will be that millions of businesses can finally have access to the kind of financial visibility and intelligence that was previously available mainly to larger companies with dedicated finance teams.
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