Asia-Pacific Firms Have Prioritized AI Integration
Financial services organizations in the region are outpacing global counterparts in process redesign.
Updated on Sept. 30, 2026 in Artificial Intelligence
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Forty-one percent of Asia-Pacific financial services firms are now redesigning core processes around artificial intelligence. This regional adoption rate surpasses the twenty-eight percent of global firms currently undertaking similar transformations.
Why it matters
By prioritizing structural changes over incremental updates, these firms are positioning themselves to better leverage artificial intelligence for long-term competitiveness. The shift highlights a deliberate effort to evolve business models rather than simply applying technology to existing tasks.
Forty-eight percent of Asia-Pacific respondents reported improved decision-making through artificial intelligence, while forty percent noted lower costs. Currently, eighteen percent of firms report a significant revenue effect, with seventy-five percent hoping to achieve this in the future.
The players
Deloitte
Deloitte is a multinational professional services network that provides audit, consulting, tax, and advisory services to organizations worldwide.
The details
Firms are utilizing artificial intelligence to deeply overhaul products, processes, and business models. While many in the region are actively redesigning operations, twenty-five percent of Asia-Pacific firms reported little or no change to existing processes compared to forty-one percent of global firms.
Timeline
The Deloitte State of AI in the Enterprise research was conducted in 2026.
The Tech Race
This report follows a pattern set by the Deloitte State of AI in the Enterprise research by tracking the adoption of emerging enterprise technologies. It highlights how financial institutions are transitioning from legacy systems to AI-integrated architectures to maintain a market advantage.
As financial institutions modernize their infrastructure, customers can expect more sophisticated, AI-driven product offerings and potentially more efficient service delivery. These internal process changes aim to eventually streamline user interaction and improve the quality of financial decision-making for clients.
The takeaway
The trend indicates that a successful AI strategy requires deep structural changes to business models rather than superficial integration. Organizations that focus on redesigning their internal processes are better positioned to capture long-term productivity and cost efficiency gains.
Further reading
For broader trends in enterprise adoption, visit the Artificial Intelligence section.
Source note: This article includes information reported by Asian Banking & Finance.
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