A senior executive of the United Bank for Africa has issued a strong warning to the financial sector regarding the rapid, uncoordinated adoption of Artificial Intelligence, citing severe operational, regulatory, and financial risks to banking institutions.
Speaking at the 64th Quarterly General Meeting of the Association of Chief Audit Executives of Banks in Nigeria, Ugochukwu Nwaghodoh, UBA’s Executive Director of Finance and Risk Management, delivered the caution on behalf of the bank’s leadership.
Addressing an audience of top bank auditors and financial regulators, Nwaghodoh emphasized that while technological advancement is inevitable, implementing automated systems without robust risk governance frameworks poses an immediate threat to institutional stability.
The warning comes amid a massive surge in digital infrastructure spending by Nigerian tier-one lenders. Financial leaders at the convention noted that the sheer velocity of AI-driven financial services has actively outpaced traditional audit systems.
The rapid deployment of these algorithms has created a critical visibility gap for internal control teams tasked with tracking automated asset allocations and credit evaluations.
“The traditional audit approaches, characterized by manual processes and sampling, are no longer sufficient to keep pace with the velocity and complexity of AI-driven banking,” Nwaghodoh stated during the keynote address. He further warned that automated, rapid decision-making systems pose significant, immediate operational risks, including potential regulatory and financial damage.
Industry regulators at the event strongly echoed the corporate warning. Aina Amah, the Chairperson of ACAEBIN, confirmed to delegates that current governance frameworks across the banking ecosystem remain inadequate for the complexities of AI-driven financial services.
Amah stressed that internal control protocols require an immediate, comprehensive overhaul to mitigate the specific vulnerabilities introduced by algorithmic systems, including data quality manipulation and heightened cybersecurity threats.
In response to these operational vulnerabilities, financial executives revealed that institutions like UBA are shifting their defensive compliance strategies.
The bank is transitioning away from traditional manual sampling toward full-population data auditing.
By deploying specialized auditing software and data visualization tools, internal control teams aim to continuously monitor algorithmic choices, actively track model drift, and ensure absolute compliance with evolving Central Bank regulations.
