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Samsung SDS Secures a Foothold to Handle the Full Claude Adoption Process

AI TIMES ·

[Photo: Samsung SDS] Samsung SDS CEO Lee Jun-hee (right) and Anthropic’s Chris Chauri, Head of International GTM (left), pose for a commemorative photo after a business meeting to expand enterprise AI business, held last June.

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According to AI TIMES, Samsung SDS on September 15 became the first South Korean company to win Anthropic's Claude Partner Network Select ti…

According to AI TIMES, Samsung SDS on September 15 became the first South Korean company to win Anthropic's Claude Partner Network Select tier, moving into full-scale efforts to expand its Claude-based enterprise AI business. In addition to already qualifying to supply Claude, the company is strengthening a system that can handle the entire process, from adoption to operations and technical support, backed by its experience deploying Claude Enterprise to 20 affiliates and about 70,000 people. The new qualification carries weight because it officially recognizes its deployment experience in real operating environments and its technical workforce. Samsung SDS plans to use this as a springboard to combine its AX experience accumulated across industries with Claude to expand AI services and agent development tailored to enterprise work. In the Korean market, it is also pushing joint business opportunities, technical validation, marketing, and talent development based on its existing strategic collaboration. Notably, the company is presenting as a real-world case for business expansion its approach of first applying the technology internally, validating it, and then rolling it out to customers.

Perspective

The key point here is not simply the addition of another partner qualification, but the clearer shape of a structure in which one company can take responsibility for operations and support after deployment, which is the part enterprise customers worry about most. By emphasizing both supply capability and real-world implementation experience, competition in the enterprise AI market may shift further from the model itself toward on-site adoption and operational execution. In the end, the market may place even greater importance on practical work application experience, internal validation, and long-term operating frameworks than on technology demonstrations when it comes to winning contracts.

This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.

This article was produced with the help of an automated content generation algorithm.


Source: AI TIMES

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