A 2026 Wolters Kluwer report reveals that a striking 83% of APAC CFOs see AI adoption as a key force reshaping finance, while 72% believe its impact will be significant within three years. As understanding of what AI do for finance teams, we are starting to see the adoption narrative move from a discretionary "innovation project" to a necessary part of the governance and controls framework—a language CFOs and compliance officers understand intimately. 

To be clear, anxieties about moving fast (in the adoption journey) remain persistent as is maintaining trust, a theme echoed in the Deloitte survey which found CFOs reinforcing fundamentals and cost discipline even as they invest in AI.

In this PodChats for FutureCFO, Nikhil Parambath, Regional Vice President for Asia at BlackLine, offers some insight into how CFOs and the finance leadership can finetune their adoption strategies as AI moves from a nice to have to a compliance imperative.

Nikhil, welcome back to PodChats for FutureCFO.

1.       Across Asia, CFOs are being asked to close faster and support real-time decisions, yet many close processes remain stitched together with spreadsheets and manual workarounds. Where are finance teams in the region still most vulnerable to this "spreadsheet dependence," and what specific risks does this create for a CFO's ability to 'trust the numbers' in a volatile environment? 

2.       BlackLine uses the term "self-driving close." In business terms, what does this operating model look like in practice, and what are the biggest misconceptions finance leaders in Southeast and Northeast Asia have about it? 

3.       As agentic AI evolves from copilots to autonomous actors, which specific close activities—such as reconciliations, journal entries, intercompany matching, and variance analysis—are the safest and most impactful to automate first, giving finance teams the fastest return on confidence and efficiency? 

4.       Agentic AI is only as good as the data it operates on. Before a CFO can confidently let parts of the close run on "autopilot," what critical data, process, and control foundations need to be in place to ensure governance, security, and an auditable chain of trust? Foundational readiness

5.       Controllable autonomy As the system starts handling the "heavy lifting" of routine tasks, the finance professional's role is shifting from processor to validator and strategist. How do you see the role and skillset of finance teams evolving over the next 2-3 years, and how should CFOs prepare their people for this transition to an advisory role? 

6.       In a region marked by rapid digitalization yet persistent skills gaps, what are the key implementation challenges for CFOs in places like Singapore, Hong Kong, and Japan who are trying to scale AI-led finance? 

7.       As AI agents become more autonomous, questions of accountability arise. How can CFOs adapt their internal controls and compliance frameworks to effectively "govern" AI, ensuring the autonomous close meets regulatory standards? 

8.       Finally, how does achieving a "self-driving close" free the CFO's office to focus on what matters most—such as strategic analysis, partnering with the business, and steering the organization through volatility?