Agentic AI in Banking: Who Is Accountable When AI Takes Action?

Agentic AI in Banking

For the last few years, AI in banking has mostly meant AI that recommends. A model flags a suspicious transaction, scores a credit application, or suggests the next best product, and a human banker still presses the button. That line Read More …

AI-Powered Credit Risk May Threaten Jobs and Tax Revenues, Fitch Warns

Fitch Ratings has cautioned that the rising use of artificial intelligence (AI) in credit risk management could potentially disrupt employment and reduce tax revenues in developed economies. AI-driven automation in banking and financial services is increasingly replacing traditional credit assessment Read More …

Stronger Credit Risk Practices Essential Amid Rising Economic Uncertainty

As global economic conditions become more complex, credit risk management is emerging as a critical priority for banks and financial institutions. Rising interest rates, geopolitical tensions, inflationary pressures, and changing borrower profiles are increasing the challenges associated with assessing and Read More …

AI, Climate Risk and Data Analytics Among Top Credit Risk Trends for 2026

Credit risk management is undergoing significant transformation as financial institutions respond to evolving economic conditions, regulatory expectations, and technological advancements. Industry experts identify artificial intelligence, advanced analytics, climate risk assessment, real-time monitoring, and enhanced governance frameworks as key trends shaping Read More …

AI tools help banks adopt smarter credit risk management

AI in Banking Replace or Empower Risk Managers

Banks are increasingly turning to Artificial Intelligence (AI) to strengthen credit risk management by improving how they identify, analyse and mitigate potential defaults and portfolio losses, according to an analysis in The Financial Express. AI‑based credit risk models can process Read More …

Credit risk measurement technology trends — Deloitte analysis

According to research from Deloitte, financial institutions are rethinking their credit risk technology platforms to meet evolving regulatory demands, analytical complexity and the pace of innovation. Legacy systems are increasingly seen as cost‑intensive and less capable of supporting advanced risk Read More …

Human oversight remains crucial in AI-driven lending

As Artificial Intelligence becomes increasingly embedded in lending operations, industry experts are emphasising that human oversight remains essential to ensure fairness, accountability and responsible credit decision-making. The growing use of AI in banking and financial services has transformed processes such Read More …

Managing Ongoing Collateral Risks Requires Continuous Oversight

Managing collateral risk is not a one-time exercise but an ongoing process that requires continuous monitoring, evaluation, and adjustment. As lending environments evolve, financial institutions must ensure that the value and quality of collateral remain aligned with the underlying credit Read More …

Banks Urged to Strengthen Risk Strategy Amid Rising Cyber and Credit Risks

Banks are being advised to strengthen their risk management strategies as cybersecurity threats and credit risks continue to intensify, according to insights highlighted by Ernst & Young (EY). The evolving risk landscape is placing increasing pressure on financial institutions to Read More …

Risk Management Gaps Continue to Expose Mortgage Lenders

Mortgage lenders are facing increasing exposure to operational, credit, and compliance risks due to persistent gaps in their risk management frameworks. The article highlights that despite advancements in technology and regulatory oversight, many institutions continue to struggle with integrating risk Read More …