HUG Adopts AI for Housing Purchase Screening, Cutting Time to 10 Seconds

AI Analyzes Property Registries and Generates Documents Analysis Time Per Case Falls From 2 Minutes 30 Seconds to 10 Seconds

Finance|
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By Kang Do-rimdorimi@sedaily.com
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An interior view of a Deundeun Jeonse Housing unit. Photo courtesy of the Korea Housing and Urban Guarantee Corp. - Seoul Economic Daily Finance News from South Korea
An interior view of a Deundeun Jeonse Housing unit. Photo courtesy of the Korea Housing and Urban Guarantee Corp.

The Korea Housing & Urban Guarantee Corporation (HUG) said on the 9th that it has introduced an AI-based work support system for screening auction and public sale properties acquired for its Deundeun Jeonse Housing program, a public rental housing scheme that offers homes under jeonse, a Korean lease system in which tenants pay a large refundable deposit instead of monthly rent.

Using an automated AI analysis program, HUG now extracts information needed for preliminary screening — including housing type and property rights — from real estate registry documents and generates standardized documents in batches. Previously, staff checked each registry document individually and entered the information by hand.

In a pilot run, the time needed to prepare basic preliminary screening documents for a single registry document fell to 10 seconds from about two minutes and 30 seconds, a 93% reduction in processing time.

HUG plans to expand the scope of automated analysis to appraisal reports and property sale statements, and to build an AI-based platform to support auction and public sale screening.

"We will continue to actively support innovative ideas developed on the front lines and steadily expand work innovation using AI and digital technology, so that gains in organizational productivity lead to improvements in public services that citizens can feel," HUG President Choi In-ho said.

Original reporting by Kang Do-rim for Seoul Economic Daily.

AI-translated from Korean. Quotes from foreign sources are based on Korean-language reports and may not reflect exact original wording.

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