Creates agents, workflows, scorecards, and dashboards from natural-language instructions, using organizational context and approval controls.

Coordinates AI-assisted software workflows, including ticket resolution and incident handling, with human approvals and team notifications.

Enforces access controls, scorecards, policies, and approval checkpoints before agents or teams change software systems.

Unifies software, infrastructure, ownership, and tool data into a governed context layer for developers and AI agents.

Discovers agents, skills, and connected tools in a shared registry and controls what each agent can access and do.

Tracks engineering delivery and agent performance alongside adoption, service health, human overrides, and time saved.