AI in Apac regulatory reporting: the growing case for agentic automation
Regulatory reporting across Asia-Pacific (Apac) is becoming more demanding, as supervisors increase their focus on data quality, consistency and transparency. At the same time, artificial intelligence offers new opportunities to improve efficiency and accuracy – but adoption remains at an early stage.
This Risk.net report, produced in collaboration with Nasdaq, draws on a survey of 50 Apac banking leaders to explore how firms are approaching AI in regulatory reporting and where it offers most value.
Including expert comment from senior executives across the region, the report examines the gap between interest and implementation, the operational challenges banks face, and the growing role of agentic AI in automating key workflows.
“Many firms still view agentic AI as an automation equivalent – and a very expensive [one] at that – without fully appreciating the real value it can unlock.”
Among the findings:
- Data sourcing, validation and aggregation are considered the main pain points in current workflows
- Only 8% of banks are currently using AI to assist with regulatory reporting tasks, but more firms are exploring this route
- Priority use cases for agentic AI include anomaly detection and data extraction.
Download the report to understand how Apac banks are tackling the regulatory reporting challenge, and what it will take to scale AI responsibly in this area.
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