As finance operations shift towards agentic AI, BlackLine predicts nearly seven in 10 finance leaders across APAC will invest in AI-driven programs this year.

This move could reshape finance roles, governance and decision making across the region. But success won’t come from technology alone; it will depend on clean data, standardised processes and the right skills to turn AI into actionable insights.

Through close engagement with finance leaders across the region, BlackLine brings a unique perspective on what it takes for finance teams to get ahead and stay there.

Here are five shifts it predicts for 2026.

1. Finance teams move from execution to oversight

With agentic AI taking on complex, multi-step finance tasks, the role of finance professionals will continue to move from processing to oversight and decision making. BlackLine expects widespread investment in AI-driven programs, automating end-to-end processes, enabling continuous monitoring and delivering real-time insights.

“Agentic AI can autonomously handle complex finance tasks and turn our finance professionals into more strategic reviewers,” says Mike Goldsworthy, solutions advisory lead at BlackLine.

2. Data readiness a defining advantage

AI maturity in finance will be determined less by technology and more by data quality.

More than half of APAC organisations (55%) are expected to prioritise clean, standardised data as a top three initiative in 2026. Without it, even the most advanced AI cannot deliver reliable or useful outputs, reinforcing the importance of strong data governance and integration across systems.

“We need a whole lot of upstream clean-up to get the reporting right,” says Goldsworthy.

3. Adoption will accelerate unevenly

AI adoption across APAC will not be uniform. Australia and New Zealand are showing strong readiness for organisational change, while South-East Asia is building momentum. India is expected to move fastest, driven by scale, innovation and fewer legacy constraints.

This divergence will shape how quickly finance functions evolve and how competitive different markets become. At the same time, trust remains critical, particularly as AI takes on more complex responsibilities.

“We know organisations want a clear, auditable trail when technology performs finance tasks,” says Goldsworthy.

4. Risk and compliance frameworks will strengthen

As AI takes on more responsibility, governance expectations will increase. Finance teams will shift from periodic checks to more continuous assurance, strengthening audit readiness in real time.

This evolution depends on strong operational foundations. “There is an underlying recognition that we need to get the house in order first,” says Goldsworthy. “Standardising core processes and aligning financial data will be central. Everything will stem from underlying data, especially as organisations embark on a change journey,” he adds.

5. Experiment, learn and scale strategically

Despite rising investment, most organisations are still defining how to apply agentic AI in practice. In 2026, success will be driven by targeted experimentation: testing agentic workflows, building confidence in autonomous processes and scaling what works.

“As a region, we are recognising the utility of AI technology and the benefits it can bring,” says Goldsworthy. “2026 will be a year of experimentation.”

Learn more about BlackLine here.

BlackLine is a CA ANZ Member Benefits Partner. For more information, visit: blackline.com/campaign/ca-anz