Kubiya

Use Case 1: Translating KPIs into Technical Workflows

Problem: Product managers and business leaders struggle to directly convert high-level operational goals, such as latency reduction or uptime targets, into executable engineering tasks.
Solution: Kubiya translates specified business KPIs into structured engineering plans, coordinating the underlying technical tasks required to reach the objective.
Example: A product manager inputs an uptime target of 99.9%, and the platform automatically plans the deployment steps and routes them to a human for approval.

Use Case 2: Deterministic DevOps Automation

Problem: Standard generative AI agents can hallucinate or behave unpredictably, making them unsafe to run directly on critical cloud infrastructure.
Solution: Kubiya enforces deterministic execution paths and policy-as-code governance, ensuring that automated agents follow strict, pre-approved code paths.
Example: An operator triggers an infrastructure change, and the agent executes the task using isolated MicroVMs while strictly adhering to Open Policy Agent rules.

Use Case 3: Centralizing Engineering Tribal Knowledge

Problem: Crucial system context and past troubleshooting steps are often scattered across Slack threads, documentation, and code, leading to slow incident response times.
Solution: The platform ingests real-time communication channels, wikis, and repositories to build a semantic map of the organization's systems.
Example: When a database error occurs, the agent queries the context map to retrieve past incident resolutions and related logs immediately.