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AI’s role in improving financial accuracy

The widespread use of AI has changed many industries. One specific role where it’s incredibly helpful is data handling. Since there are huge swathes of data in finance, AI can deliver a big impact if utilized correctly.

December 4, 2024
10 min read
Henry Kivimaa

Henry Kivimaa

Content Manager

In a world where a single misplaced decimal can cost millions or trigger regulatory red flags, getting the numbers right is no longer optional. Businesses now operate in environments where errors aren’t just costly — they’re reputational risks. And while traditional methods have served us well, they’re struggling to keep pace with today’s demands.

AI is stepping into this chaos, not as a magic wand but as a system that makes financial accuracy something you can depend on. Let’s explore how.

Smarter data handling

According to The Institute of Chartered Accountants in England and Wales, data scientists can spend an astonishing 50 – 80%¹ of their time wrangling data — collecting, sorting, and fixing errors. That’s not just work — that’s tedium and a massive drain on productivity.

Instead of playing cleanup with messy spreadsheets, AI automates the nitty-gritty tasks that bog down finance teams. From syncing data across multiple sources to spotting duplicates, AI ensures that the numbers are reliable all the way through. Its ability to cleanse and validate data in real time eliminates manual errors and provides teams with a trustworthy foundation.

Cleaner inputs mean fewer cascading errors down the line, translating to more accurate insights, quicker reporting, and the freedom to focus on driving business growth.

Did you know?

Employees using AI save an average of 1.5 hours per month² or about 390 hours per year.

Error-catching in real time

Say you’re wrapping up a critical financial report, only to discover a glaring mistake at the eleventh hour. Cue the late-night scramble, the missed dinner with your spouse, and trying to survive the next day with only three hours of sleep.

AI stops these nightmare scenarios before they start. Its real-time monitoring tools catch mistakes on the spot — whether it’s an outlier in expense reports or an unusually high transaction in payroll.

If someone accidentally logs a $75,000 expense as $750,000, AI flags it immediately, comparing it to historical norms. No spreadsheets, no manual digging, no chaos.

Spotting errors and fixing them as they happen ensures that small mistakes don’t snowball into bigger issues. It also greatly reduces surprises when audit season rolls around, and keeps one’s spouse happy.

Staying ahead without the headache

Regulatory updates don’t come with a friendly heads-up email. They arrive quietly, and before you know it, your reports are outdated or worse — noncompliant.

Instead of relying on human vigilance, AI tracks these changes for you. It cross-checks your workflows, adjusts processes where needed, and keeps your financial systems compliant without demanding your team’s constant attention.

Regulatory updates don’t come with a friendly heads-up email. They slip in quietly, and before you know it, your reports are outdated — or worse, noncompliant. Ignoring these changes isn’t an option. The cost of falling behind can include hefty fines, damaged reputations, or disrupted operations.

Did you know?

The average cost for businesses failing to meet compliance requirements is $14.8 million per year

Manually managing these updates is a monumental task. It requires constant vigilance, endless cross-referencing, and a deep understanding of compliance nuances — a process prone to human error and burnout. Even the most diligent teams can find it overwhelming to keep up with the pace of regulatory shifts.

This is where AI proves invaluable. It works around the clock to track and interpret updates, eliminating the need for your team to stay glued to the ever-changing regulatory landscape. AI doesn’t just notify you about changes — it actively cross-checks them against your existing workflows and seamlessly integrates necessary adjustments into your processes.

The benefits go beyond accuracy. Automating compliance frees up your team’s time to focus on strategic tasks instead of drowning in administrative work. It ensures your financial systems stay not only compliant but also agile, capable of adapting to new rules without causing operational hiccups.

Predicting the future

Traditional reports are like looking in the rearview mirror — great for reflection, but not much help when it comes to steering the car. AI flips this perspective by delivering forward-looking insights through predictive analysis, giving you the clarity to navigate what’s ahead.

Imagine identifying cash flow challenges three months before they hit or predicting how emerging market trends could impact your margins. Predictive analysis doesn’t just help you spot problems early — it turns hindsight into foresight, enabling you to take decisive action before issues arise.

Here’s why it matters and how it works for you:

  • Cash flow forecasting — Avoid surprises by anticipating shortfalls or surpluses, ensuring you’re always prepared to act.
  • Risk analysis — Pinpoint vulnerabilities across your operations and address them before they become costly problems.
  • Market insights — Understand how shifts in your industry or customer behavior could affect your bottom line, giving you the edge to adapt and thrive.

AI helps to turn your reports from static summaries to dynamic, actionable insights, enabling you to plan ahead and stay competitive.

Did you know?

Businesses using AI for financial forecasting experience a 20% – 40% higher success rate in hitting their targets.⁴

Making financial data relatable for everyone

Let’s face it — most financial reports seem to be designed to intimidate. Dense, technical, and packed with jargon, they often leave stakeholders outside finance teams scratching their heads. This lack of clarity can lead to confusion, disengagement, and long nights spent trying to decode the meaning behind the numbers.

AI in accounting changes the game by acting as the translator you didn’t know you needed. Through tools like natural language processing and interactive dashboards, it turns cryptic spreadsheets into insights anyone can understand.

Imagine replacing endless rows of numbers with dynamic charts, concise summaries, and interactive visuals. AI takes the complexity out of financial reporting, making it accessible to employees, investors, executives, and decision-makers alike.

The result? Fewer misunderstandings, smoother collaboration, and a shared understanding of your organization’s financial health — without the stress of being lost in translation.

Want to incorporate AI into your business?

Rainar, a Product Manager and an AI enthusiast from Katana, discusses how AI impacts businesses and how it can be implemented to improve manufacturing operations.

Bringing it all together

AI doesn’t just enhance one or two aspects of financial accuracy — it transforms every stage of the process, from organizing raw data to predicting future trends. It’s not about replacing finance teams but empowering them to focus on strategy rather than drudgery.

From error detection and regulatory compliance to predictive analytics and streamlined reporting, AI ensures accuracy becomes second nature, not an afterthought.

If you haven’t already, now is the time to embrace AI and futureproof your business. Start small by using large language models (LLM) like ChatGPT to summarize data or create charts for presentations. For a bigger leap, implementing an AI-powered system in the center of your business can significantly streamline your operations.

These systems improve with every data point they process, compounding accuracy and efficiency over time. As businesses strive for financial precision, one thing is clear — AI isn’t just helpful, it’s essential.

Book a demo now to see how Katana can help you embrace AI to manage your operations and set you up for long-term success.

Sources

¹Data science skills for Finance, ICAEW (2018)

²British Workers Could Claw Back 390 Hours of Working Time Per Year With Artificial Intelligence, Visier (2023)

³The True Cost of Non-Compliance in Business, IRIS FMP (2018)

⁴The Power of AI in Financial Planning and Forecasting, BCG (2024)

Henry Kivimaa

Henry Kivimaa

Content Manager
Henry is an avid traveler with a passion for writing. Having lived most of his adult life abroad, he’s amassed a variety of experiences from many different fields. From ForEx trading to compliance to mobile engineering to demolition, he’s definitely not afraid to test out new things.

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