At a Sage event in San Francisco, CTO Aaron Harris outlined how AI is reshaping financial accounting software, creating both opportunity and tension for CFOs. As AI systems move from task automation to full workflow orchestration, finance leaders are being forced to reconcile their traditional role as stewards of precision and trust with technologies that are inherently probabilistic and evolving.
At the same time, Sage is advancing an agentic AI strategy that embeds intelligence directly into financial operations, while emphasizing transparency and trust as prerequisites for adoption. The result is a fundamental shift in how finance teams interact with software, how decisions are made, and how real-time financial visibility may ultimately eliminate longstanding processes like the monthly close.
Core Takeaways
CFO Identity Shift: Artificial intelligence is creating a “professional identity crisis” for CFOs, who must balance their role as guardians of accuracy and trust with the adoption of probabilistic, rapidly evolving AI systems.
From Tasks to Workflows: Sage’s agentic AI strategy moves beyond automating individual tasks to orchestrating entire financial workflows, fundamentally changing how users interact with enterprise software.
Trust Through Transparency: Sage’s AI trust label initiative provides customers with clear visibility into how AI systems are built, trained, and governed, addressing concerns around data usage, security, and accountability.
Hyper-Personalized AI Models: The company’s AI factory enables customer-specific models that continuously learn from user behavior, delivering more accurate financial categorization and insights than generalized AI systems.
Key Quotes
The CFO’s Identity Crisis
“If you look into the psyche of a CFO and a finance leader, their biggest asset is their credibility. What they bring to a company is trust—trust in the markets, trust in the numbers, trust in decision-making. That’s their foundation. At the same time, they’re being told they need to move faster, be more efficient, and adopt new technologies.”
“The challenge is that AI, by definition, is unpredictable and constantly evolving. So you have leaders whose identity is rooted in precision now being asked to embrace systems that don’t always behave deterministically. That tension is what’s driving this identity crisis, and it requires real introspection to understand how to use the technology responsibly.”
From Automation to Autonomous Workflows
“We’ve been building AI at Sage for years, starting with automating basic tasks like invoice processing and transaction categorization. But with the rise of large language models and reasoning systems, we can now take those capabilities and elevate them into agents that use those tasks as tools.”
“What that means in practice is a shift from task automation to full workflow automation. Agents are now handling processes like accounts payable and parts of the monthly close. At the same time, we’re changing the relationship between the user and the software, enabling more direct, conversational interaction with financial data.”
Why Trust Is Everything
“Customers won’t use AI unless they trust it. No matter how much responsibility is handed over to the system, the user is still accountable for the outcome. You can’t blame the machine if something goes wrong—you’re still signing the audit report.”
“That’s why we introduced the AI trust label. It’s like a nutrition label for AI, giving customers a transparent view into how the system works—how data is used, whether models are internal or third-party, how they’re trained, and what security standards are in place. In a world where formal AI certifications don’t yet exist, we have to create our own mechanisms for trust.”
The End of the Monthly Close
“We set out a vision early on that we wanted to eliminate the monthly close entirely. It’s a process that consumes enormous time and energy, but it exists because systems haven’t historically been able to provide real-time, reliable financial data.”
“We’re now very close to a world where that changes. With AI continuously processing and validating financial information, businesses will always have up-to-date insights. The idea of closing the books at the end of the month will simply become unnecessary, replaced by a constant state of financial readiness and visibility.”
