What happens when a seasoned finance leader enters the world of enterprise software and decides to rebuild finance with AI at its core?
In my conversation with Darren Heffernan, CEO of Trintech, we look at the shifts happening in the CFO’s office and how automation is reshaping a discipline that has relied on spreadsheets and manual processes for generations. Darren’s story spans public practice, GE Capital and twenty years at Trintech, giving him a rare glimpse into both the pressures in finance teams and the opportunities that arise when workflow, data and intelligence finally converge.
During our discussion, Darren explains how Trintech has spent decades refining financial close by embedding intelligence directly into the workflow rather than logging it. He talks about real examples of AI identifying exceptions, writing rules, scanning transaction volumes and contacting a human for review, ensuring the outcome remains transparent and traceable. His point is that trust and clarity are just as important as speed, especially in a profession where regulators, auditors and boards expect every action to be explainable. It’s a reality check for anyone comparing providers who claim to deliver AI, without the decades of foundational knowledge needed to understand how finance actually works.
We also talk about the human side of transformation. Darren believes that those who learn to work with AI will thrive, and he opposes the idea that automation threatens finance functions. Instead, he sees a future where agents and people work together, while accountants focus on judgment, interpretation and value.
His reflections on leadership, mentorship, humility and the maturity that comes from fulfilling almost any role within a company add a personal texture to the story. It is clear that his philosophy of making time count is not a slogan; it’s a way of working that shapes how Trintech designs its products and how teams support customers.
As we look to 2026, Darren shares his vision for the next frontier in finance. He describes a future where AI-powered workflows not only identify problems, but also take action, continuously improve while still respecting the need for control. His message is simple.
Finance runs on trust, and AI must strengthen that trust, never weaken it. So how should leaders approach this moment, and what might financial closure look like if AI becomes a trusted partner rather than a confusing buzzword? I’d love to hear what you think.
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