Finance chiefs in many industries are beginning to talk unusually optimistically about AI’s potential role in auditing and, frankly, it got me wondering.
An article in the Journal of Accountancy points to a new survey which indicates that most CFOs are ready to pay higher fees in order to work with audit firms who’re integrating cutting-edge tech, notably AI.
“It’s rare in the context of paying additional money that someone actually is excited to incur extra expense, so I think that says quite a bit about where the audit world is going.”
And as you read through the findings shared in the report on journalofaccountancy.org, you can feel it. com, which details just how strong that support has grown.
The interesting thing is how organic and natural conversations about AI adoption are happening right now.
Until recently, finance departments regarded AI as some kind of enigmatic device lurking in the corner.
Now the question is: Will it quicken audits? Will it capture things humans can’t? What will it take for us to stop sweeping our mountain of forever-crisis data under the rug?
One story on how AI can process unstructured financial data is already under development and indicates firms pushing the boundaries again.
But, of course it’s not all sunshine. The same survey shows that leaders are worried about cybersecurity and data privacy over 80% of the time.
And I don’t blame them. It’s almost like giving the keys to your house to a stranger because they said they’re good at home security.
Because what could go wrong with that? Simultaneously, the momentum isn’t letting up.
Companies are in a frenzied race to adopt tech – some carefully, others with the kind of zeal that makes you wonder whether they’ve really read the manual.
A more recent report on AI trends in finance highlights how fast expectations are changing across the wider world of financial services.
I’m personally torn. On the one hand, AI really can help auditors dig deeper and faster – maybe even catch fraud or inconsistencies long before a human would.
On the other hand, I’m somewhat uncomfortable with the “black box” nature of certain A.I. systems.
And what do you blame if something does go wrong – the auditor, the developer or the algorithm?
And there’s already evidence of how A.I. tools can be abused, such as deepfake financial content that recently circulated in India, creating confusion among investors.
Talking to auditors is a completely different experience these days, also. Many say that they are learning as they go, determining how A.I. fits into their workflow without becoming overly dependent on it.
Some even wisecrack that AI could one day do the “boring parts” of the job – but they’re still wary of letting it anywhere near professional judgment. And perhaps that’s the sweet spot: AI as a super-charged assistant, not the decider.
Ultimately, this moment has the feel of an intersection. Firms that are open to using AI appear to be well-placed to capture more business, since clients aren’t exactly shy about demanding efficiency and forward-looking methods. But charging in without guardrails could also backfire.
If there’s one big takeaway, then, it’s this: Financial audits are already being transformed by A.I., whether we’re perfectly prepared for them or not.
And really, the most interesting part of the whole story could end up being how firms find a way to balance innovation with old-fashioned trust.
