AI in Finance: A Game-Changer for CFOs
Tue Dec 23 2025
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AI is making big waves in finance, and CFOs are taking notice. With investments in generative AI expected to hit $644 billion globally by 2025, it's clear that this technology is here to stay. But how can finance teams use AI to their advantage?
One company, Trintech, is using AI as a training partner rather than just a tool for efficiency. They've adopted a mindset where AI learns through interaction and reflection, not just by ingesting data. Their large language model, trained on internal data, policies, and processes, helps employees work faster and think more strategically.
Instead of having employees guess the right prompts, Trintech has flipped the script. They train their employees to allow AI to interview them. This "reverse-interview" approach turns tribal knowledge into structured intelligence, making the model smarter and more aligned with how the company works.
AI is not about replacing humans but amplifying their capabilities. In finance, where manual and time-consuming tasks are common, AI can be a game-changer. It can answer technical questions, reference company policies, and provide contextual training.
AI-driven finance platforms need to deliver ROI quickly. They should accelerate close cycles, speed up transaction matching, and provide richer reporting and analytics. AI can also help shorten collection cycles, speed up processing of time and expense reports, and automate exception handling.
AI technologies like ChatGPT and Gemini can help CFOs accelerate investor intelligence and deepen accounting insights. They can streamline competitive product analysis, geographic expansion trends, risk assessments, and more. At Trintech, AI has cut days' worth of manual research and reporting down to a fraction of the time.
AI-enabled journal entry solutions can help CFOs shrink month-end close cycles. They can automatically risk-rate journal entries, handle lower-risk categories end-to-end, and surface higher-risk items for human review. This allows accounting teams to spend less time on manual tasks and more time on entries that require judgment and oversight.
However, unlocking AI's potential responsibly starts with employee training, legal and data governance, and setting the right tone at the top. Finance professionals need to know how to use AI, validate its outputs, and collaborate closely with legal and information security teams.
The AI opportunity in the office of the CFO is real. It's about how finance leaders choose to implement these technologies and how quickly the organization is prepared to invest, modernize, and embrace them.
