ING Increases Use of AI in Mortgage Application Process

Why It Matters

Accelerating mortgage decisions reduces customer friction and cuts operational costs, giving ING a competitive edge in a market where AI‑enabled productivity gains are becoming industry standard.

Key Takeaways

• ING rolls AI mortgage agent to live after successful pilot
• AI handles document collection, checks, and case routing, humans finalize decisions
• Expected 25% reduction in mortgage ops staff, redeployed to complex tasks
• AI adoption mirrors industry trend; banks report rising productivity gains
• Commerzbank's $660 m AI plan targets $550 m annual value addition

Pulse Analysis

The introduction of an AI mortgage assistant marks a pivotal step for ING as it seeks to streamline one of the most time‑intensive banking processes. By delegating routine tasks—such as document verification and data migration—to an autonomous agent, the bank can cut processing latency from days to hours. This not only improves the borrower experience but also frees up underwriters to focus on high‑value, nuanced cases, enhancing overall risk assessment quality.

Industry analysts note that ING’s strategy reflects a broader transformation across European banks, where AI is being deployed in KYC, call centers, and retail personalization. A recent Zopa and Juniper Research survey predicts generative AI will eliminate 187 million labor hours in back‑office roles, potentially displacing 27 000 jobs by 2030. ING’s own forecast of a 25% staff reduction in mortgage operations underscores the scale of efficiency gains, while also highlighting the need for workforce reskilling to support more complex advisory functions.

Competitors are accelerating similar initiatives; for example, Commerzbank has committed roughly $660 million to AI over four years, expecting $550 million in incremental annual value from 2030 onward. Meanwhile, Lloyds Banking Group reports that 59% of firms have realized AI‑driven productivity improvements in the past year. As AI adoption matures, banks that successfully integrate intelligent agents into front‑ and back‑office workflows are poised to capture market share through faster service delivery and lower operating costs.