Ragic has announced the launch of its new Ragic AI Agent, an embedded artificial intelligence system designed to operate directly inside user databases and automate repetitive business workflows without requiring external integrations, manual data transfers, or technical deployment.
COVINA, Calif., May 28, 2026 — The company described the AI Agent as a new step toward making enterprise automation more accessible to organizations that lack in-house technical teams. Built as part of its no-code database environment, the system allows businesses to run AI-driven processes within their existing operational data, eliminating the need for separate APIs, connectors, or third-party tools.
According to the company, the AI Agent functions natively within the database, enabling it to read records, update forms, execute workflows, and apply business logic directly where the data resides. This structure is intended to reduce friction between AI decision-making and day-to-day operations, allowing outputs to immediately trigger downstream tasks without manual intervention.
Ragic CEO and Founder Jeff Kuo said the goal is to simplify enterprise AI adoption by reducing both cost and technical complexity. He noted that many organizations struggle with fragmented AI tools or require extensive customization cycles before achieving stable results, while the Ragic AI Agent is designed to be configured quickly and refined progressively through natural language instructions.
The system is embedded directly into the platform’s spreadsheet-like interface, allowing users to build workflows through drag-and-drop configuration combined with prompt-based instructions. The company emphasized that no coding or installation is required, and the AI Agent can be activated directly in the browser environment, making it accessible to operational teams in HR, finance, sales, and administrative departments.
Ragic also highlighted that the AI Agent is designed for organization-wide deployment rather than individual use cases. A single workflow setup can be shared across teams, ensuring that automation benefits extend throughout an organization rather than being isolated to personal assistants or siloed tools.
Security and governance were positioned as central features of the system. The AI Agent operates within the user’s existing database permissions, meaning it only accesses data that is already authorized within role-based controls. Administrators can further define specific boundaries for each AI Agent, including what actions it is allowed to perform, ensuring compliance with internal governance standards. The company also stated that enterprise-grade security protocols are maintained, and all operations remain within the user’s account environment.
By keeping the AI system fully embedded within its platform, Ragic aims to address growing demand for practical AI tools that can be deployed without complex infrastructure. The company said the approach is intended to bridge the gap between AI capability and everyday business usability, particularly for small and mid-sized organizations seeking automation without additional engineering overhead.