Serval

企业AI的难点在于管理和配置工具及技能，而非推理能力。

Serval converts natural language descriptions into workflow code using AI, achieving zero development time for workflow creation and database updates. Users simply describe required steps, permissions, and logic, and the system automatically generates corresponding code.

The core challenge of enterprise AI is not reasoning capability, but rather permission management and tool configuration architecture. Serval adopts a dual-agent architecture where admin agents build tools and skills while help desk agents serve end users, ensuring AI operates within security boundaries.

Serval's AI code generation engine instantly transforms natural language workflow/database descriptions into executable code with zero development time.

Serval founder Jake Stauch explains the core value of AI-native enterprise service management platforms: replacing manually configured workflow engines with AI-automated ones, enabling enterprises to dynamically adapt to rapidly changing business processes and solving the problem of lengthy development-to-deployment cycles in traditional enterprise software.

A fundamental tension is emerging in enterprise AI agents: employees desire full autonomy from their cloud agents, while organizational security and IT teams remain cautious about such broad access, reshaping enterprise AI product design.