Sage Future 2026: Driving high performance in a high-pressure environment
Finance teams are under pressure to move faster without losing control. At Sage Future, that tension came into focus—revealing how real-time visibility, AI, and rising expectations are changing how finance operates for good.
Finance teams are being asked to move faster—without losing control.
That tension is shaping how the role of finance is evolving, as organizations deal with increasing complexity, real-time expectations, and growing demands for visibility and accountability.
On the first day of Sage Future 2026 in San Francisco, that shift was front and center. Across the opening keynote and day one sessions, the focus was clear: helping finance leaders navigate uncertainty, increase visibility, and perform at a higher level in complex, fast-moving environments.
Watch the highlights from day one
High performance is a system
One idea came through clearly on day one: high performance isn’t a personality type. It’s a system—built on the right tools, the right data, and the right mindset working together.
Finance leaders are no longer just expected to close the books. They’re expected to bring judgment, foresight, and leadership to decisions across the organization.
Two forces are shaping that expectation: greater real-time visibility, and the growing role of AI in finance workflows.
More visibility, less buffer
Connected systems and real-time data are giving finance teams a clearer picture of what’s happening across the business—and that changes expectations.
The New York Yankees operate across dozens of departments, with finance at the center. With Sage Intacct, their team can access shared, real-time information and provide faster answers without slowing them down.
But that visibility also compresses the cycle. When information is available in real time, the gap between signal and action shrinks. Issues surface earlier. Decisions are expected sooner.
AI is accelerating the shift
AI isn’t just generating insights—it’s being embedded directly into finance workflows, helping teams move from analyzing data to acting on it.
But new research from Sage and IDC highlights an important constraint.
More than 70% of finance leaders say they would reject AI outputs they cannot explain—even highly accurate ones. In practice, finance professionals are spending over 12 hours a week reconstructing, validating, and defending AI-generated work.
As Sage CEO Steve Hare highlighted in the keynote, in finance, accuracy isn’t optional. Even small errors matter.
AI can accelerate work. It cannot remove accountability. Finance leaders are still expected to apply judgment, validate outputs, and stand behind decisions.
The work doesn’t disappear—it shifts. More of it moves into validation, oversight, and control.
From periodic reporting to continuous responsibility
Traditionally, finance has been structured around fixed cycles—monthly close, quarterly reporting, year-end review. What’s emerging is different.
As visibility increases and workflows become more connected, finance teams are moving into a more continuous operating rhythm: monitoring, validating, and responding in real time.
That means less time processing transactions, more time managing exceptions, reviewing outputs, and making decisions on current information.
The underlying responsibility doesn’t diminish as new technology is introduced. If anything, it becomes more important.
The operating model is starting to change
There are plenty of tools out there. But finance teams need to ask questions about how they are structured and how they work.
AI reduces the time required for many tasks. At the same time, increased visibility and faster cycles expand the scope of responsibility.
The result: work is more continuous, decisions are made earlier, and oversight matters more. For many organizations, existing processes weren’t designed for this pace.
That is where the real challenge—and opportunity—sits.
Looking ahead
Day two goes deeper into how AI supports this shift, with a focus on trust, explainability, and control.
We know finance teams can work more quickly. The focus is now more on effectively they can lead in a model where visibility is constant, decisions are faster, and responsibility is continuous.
