Gyeongninara data accessible via ChatGPT and other AI apps; eliminates need for manual Excel input
Webcash, a financial AI company, announced Thursday it will launch "Gyeongninara MCP" in December — a platform that lets businesses query and analyze corporate data stored in its small and medium-sized enterprise management platform "Gyeongninara" directly through generative AI apps. Alongside the launch, the company is accepting applications for a pilot program through Nov. 13.
With Gyeongninara MCP, users can ask questions and receive answers through AI apps they already use, such as ChatGPT, drawing on data from Gyeongninara — including bank account transaction histories and sales and purchase tax invoices. Because the AI retrieves Gyeongninara data directly via MCP (Model Context Protocol), an open connectivity standard, users no longer need to download data to Excel and manually upload it to an AI app.
For example, a user can ask "Show me where spending increased compared to last month," and the system will instantly compile a list of vendors where outlays rose, along with the amounts, by comparing current and prior-month withdrawal records. Users can also search transaction histories by period or amount, and look up purchase tax invoices by vendor.
To activate Gyeongninara MCP, a company administrator must enable the integration feature within Gyeongninara and consent to data sharing; disabling the integration severs the connection. Data accessible through AI apps is divided into four business categories — cash management, sales, purchasing and basic information — and companies can choose to allow access only to the categories they need.
The pilot program will recruit 10 companies from among existing Gyeongninara customers. Selected firms will be able to use Gyeongninara MCP in actual operations for one year.
"More companies are using generative AI for work, but their cash and tax invoice data has still been sitting outside AI's reach," Webcash CEO Kang Won-ju said. "Starting with Gyeongninara MCP, we will keep expanding the range of management data that can be used within AI." Kang added that next year the company plans to introduce "Gyeongni365" (tentative name), an accounting-specialized AI agent, so that accounting tasks can be handled easily not only through general-purpose AI apps but also through a dedicated agent.
Meanwhile, Webcash is joining a government-led initiative to develop an independent AI foundation model, where it will work on building a finance-specialized AI agent.
The company is participating in the project on the strength of its financial AI technology accumulated in the corporate cash management sector. It plans to make active use of "Operia," an intelligent relational database connector that automatically converts natural-language queries into SQL database queries to extract data.
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