Reducing Workloads for Small Businesses with AXMOX

For many small business owners, AI transformation can feel overwhelming. It is often unclear where to begin, and even when AI tools are introduced, they provide little value if employees do not actually use them.

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Reducing Workloads for Small Businesses with AXMOX

For many small business owners, AI transformation can feel overwhelming. It is often unclear where to begin, and even when AI tools are introduced, they provide little value if employees do not actually use them.

Yet one regional distribution company that previously spent several days each month organizing receipts now completes the same task in just 20 minutes. Meeting minutes are generated automatically as well. This is not the story of a large enterprise; it is happening within a small business.

The driving force behind this transformation is AXMOS, a consortium dedicated to helping small businesses and manufacturing SMEs successfully implement AI transformation from planning through execution. On July 14, AXMOS entered into a strategic partnership with the Seoul Center for Creative Economy & Innovation (CCEI).

What does this partnership mean, and how will it create new opportunities?

Let's take a closer look.


Why AI Adoption Often Stalls for Small Businesses

Stories about companies adopting AI have become increasingly common. However, it is far less common to hear that AI has delivered measurable reductions in workload or significant productivity gains.

The reason is straightforward. Successful AI transformation requires expertise across multiple areas, including organizational assessment, infrastructure, employee training, and real-world implementation. Few small businesses or manufacturing SMEs have the resources to manage all of these capabilities internally.

Hiring AI consultants, recruiting specialized developers, and designing internal training programs can be costly and impractical. As a result, many organizations complete AI training without implementation, or deploy AI tools that ultimately go unused.

AXMOS addresses this challenge through a consortium model in which each partner contributes specialized expertise:

  • TransLink Investment leads investment and capital financing.
  • Wilt Venture Builder supports global business expansion.
  • DreamAce provides AI solutions for manufacturing environments.
  • Popup Studio Korea delivers AI infrastructure.
  • Codepresso is responsible for AI competency assessment, training, and certification.

Beyond the receipt-processing and automated meeting documentation examples mentioned earlier, AXMOS has also supported SMEs in establishing internal AI execution teams that drive organizational innovation, while successfully delivering AI transformation projects across industries, including entertainment.

What makes this possible is AXMOS's Forward Deployed Engineers (FDEs), AI implementation specialists who work directly with organizations on-site, identifying business processes and guiding them through practical automation and deployment.


Why AXMOS Partnered with the Seoul Center for Creative Economy & Innovation

Image: AXMOS x Seoul Center for Creative Economy & Innovation (CCEI) Partnership

Although AXMOS had developed a strong execution model, one critical piece was still missing: direct access to the small businesses and early-stage startups that needed this support the most.

For years, the Seoul Center for Creative Economy & Innovation (CCEI) has played a leading role in discovering and supporting startups and small businesses while connecting them with large corporations through open innovation initiatives.

This partnership brings together two complementary strengths: one organization with a proven execution framework but limited market access, and another with extensive access to entrepreneurs but without an integrated AI transformation model.

Partnership Diagram

Together, the two organizations will collaborate in four key areas:

  • Advancing business process optimization
  • Building AI transformation (AX) infrastructure
  • Developing AI talent
  • Jointly creating AI transformation programs

Building AI infrastructure means providing small businesses with practical AI tools and development environments that they can immediately use in their daily operations.

Joint program development combines the expertise of both organizations to create practical AI transformation curricula tailored specifically for small businesses and manufacturing companies.

Talent development closely aligns with Codepresso's capabilities in AI competency assessment, education, and certification. Rather than offering disconnected services such as assessments, training, and tools separately, the partnership creates an integrated support model that guides organizations through the entire AI transformation journey.

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What This Means for SMEs and Startups

Until now, execution-focused AI transformation has largely been accessible only to organizations with significant budgets and dedicated technical resources.

Through this partnership, the small businesses and early-stage startups identified and supported by the Seoul Center for Creative Economy & Innovation will now have access to an end-to-end AI transformation pathway—from organizational assessment and workforce training to practical on-site implementation.

Young-Geun Lee, Director of the Seoul Center for Creative Economy & Innovation, stated:

"We will actively support startups and small businesses so they can effectively apply AI in real business environments and achieve meaningful business outcomes."

AXMOS has already been expanding its B2B business across the United States, Europe, and Japan. As a result, successful AI transformation cases that begin with Korean small businesses may eventually serve as stepping stones for international business expansion.

Ultimately, the greatest barrier to AI transformation for small businesses has not been the technology itself—it has been access to the right implementation ecosystem.

This partnership opens one of those critical pathways. The true measure of its success will not be the signing of the agreement itself, but how many second, third, and fourth success stories emerge as more businesses achieve measurable results through AI.

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