AI case study

KD NavienEnterprise process automation

Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.

Published

Key results

Annual Time Saved
28,000 hours
Labor Cost Savings
~20%
Targeted Productivity Gains
280,000 hours

Result highlights

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The story

Context

A top global exporter of high-efficiency condensing boilers and water heaters managing complex manufacturing operations across 47 countries.

Challenge

Fragmented data and inconsistent processes across the expanding business limited operational visibility and slowed decision-making. Employees spent...

Solution
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Quotes

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The company

Manufacturer of condensing boilers, water heaters, and HVAC systems.

IndustryIndustrial & Manufacturing
LocationSeoul, South Korea
Employees1K-5K
Founded1978

The vendor

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

Use case

KD Navien's Enterprise process automation is part of this use case:

Workplace AI
182 case studies(+39% YoY)
Proven impact?
LowModerateVery Strong
4.2Moderate
2.8Lowwithin Industrial & Manufacturing
6.0Strongwithin Operations

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