SKN | From Months to Minutes: Agentic AI Could Transform Mortgages, Says ING

The mortgage process, traditionally known for lengthy approvals and complex paperwork, may soon undergo a dramatic transformation thanks to agentic artificial intelligence (AI). ING Bank suggests that AI-powered systems could reduce the time from application to approval from months to mere minutes, reshaping how consumers access credit and manage home financing. For investors and the public alike, this innovation signals both opportunities and challenges for banks, regulators, and the broader housing market.

Understanding Agentic AI in Banking

Agentic AI refers to advanced artificial intelligence systems capable of autonomous decision-making within predefined regulatory and risk parameters. In the context of mortgages, these systems can assess applications, verify documentation, and calculate creditworthiness without human intervention. Digital banking platforms integrating agentic AI promise to streamline processes for checking accounts, deposit verifications, and loan underwriting, enabling faster and more accurate evaluations. For customers, this means a simplified, transparent experience when applying for mortgages or other credit products.

Impact on Customers and Businesses

Faster mortgage approvals can significantly benefit both consumers and businesses. Homebuyers may secure financing within minutes rather than weeks, allowing them to respond quickly to competitive real estate markets. Real estate agencies and developers also stand to gain from smoother transactions and improved cash flow. Meanwhile, banks can offer personalized loan terms and dynamically adjust interest rates based on real-time data, enhancing customer satisfaction and loyalty. Digital banking innovations thus not only improve efficiency but also elevate the overall client experience.

Influence on Banks and the Credit System

For banks, adopting agentic AI could lower operational costs and reduce human errors in mortgage processing. However, integrating AI systems requires compliance with regulatory standards and robust cybersecurity measures to protect sensitive financial data. Banks may also face competitive pressure, as early adopters of AI-driven solutions can gain market share by offering faster, more flexible loan services. Additionally, real-time credit assessments could influence the broader lending environment, potentially impacting interest rate strategies, deposit management, and overall risk exposure.

Economic Implications and Future Trends

The wider adoption of AI in mortgage processing could reshape the housing finance landscape. Accelerated loan approvals may stimulate property markets and improve liquidity, while simultaneously requiring regulators to update guidelines around automated decision-making. Over time, agentic AI could extend beyond mortgages, influencing personal loans, business credit, and even deposit management. Banks that successfully leverage AI technology may enhance profitability, strengthen customer trust, and set new industry standards for speed and efficiency.

Closing Insights

Agentic AI represents a turning point for digital banking, particularly in mortgage and credit services. For consumers, it promises faster approvals, improved transparency, and greater convenience. Banks that adopt these technologies can reduce costs, optimize risk management, and enhance competitiveness. As AI continues to evolve, market participants should monitor regulatory updates, cybersecurity considerations, and technological advancements to ensure that innovation translates into sustainable growth and improved financial services for all stakeholders.

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