AI and cloud company MegazoneCloud will cooperate with global accounting and consulting firm EY Hanyoung on financial AI business.

The two companies decided to jointly pursue AI projects for financial firms. EY Hanyoung will draw up AI application directions and workflow improvement plans based on its financial industry consulting capabilities. MegazoneCloud plans to work by building and operating AI services tailored to financial firms' work environments through its AI offerings, including AIR Studio.

Based on this, the two companies plan to jointly identify major domestic financial clients and expand AI business opportunities that meet the financial sector's requirements for regulation, security and internal control.

They also plan to find joint business opportunities in the financial industry and pursue proposals to customers. They plan to conduct marketing cooperation to expand the market, including joint seminars, publishing white papers and securing references. Based on AI transformation models and success cases secured in the financial industry, they plan to expand the scope of cooperation to other industries such as the public sector, manufacturing and retail.

AIR Studio supports companies beyond simply adopting generative AI by enabling them to integrate and manage security, access rights, costs and policies while scaling and operating it stably to fit actual work.

MegazoneCloud CEO Dong-hoon Yeom (염동훈) said an operating system that includes security, access rights, cost and policy management, as well as technical implementation, must support AI for it to lead to real work results. He said the companies will combine EY Hanyoung's financial consulting expertise and MegazoneCloud's AI execution and operational capabilities to help financial clients adopt AI safely and expand it into tangible work outcomes.

Dong-hoon Lim (임동훈), head of EY Hanyoung's financial business division, said AI transformation in the financial sector is shifting beyond simple technology adoption to a stage of building an operable AI system that includes data quality, internal control and regulatory responses. He said the companies will support a more practical approach to AI by presenting realistic operational standards and execution directions that fit the characteristics of the financial industry based on their expertise.