Raltic connects the pieces that separate a useful agent demo from a repeatable team workflow: shared context, bounded runtimes, visible execution, human review, tasks, and reusable decisions.
Shared operating context
Keep the brief, agent runs, tasks, human review, artifacts, and final decision together in one searchable AI workflow room.
Explore the featureExplicit decision ownership
Create visible human review boundaries around AI agent outputs with shared evidence, in-review tasks, and accountable decisions.
Explore the featureLocal runtime participation
Connect verified Claude Code and OpenAI Codex local runtimes to shared Raltic workflow rooms while keeping repository access on the runtime machine.
Explore the featureManaged agent execution
Start managed cloud agents in Raltic workflow rooms without a local install, then review their work, run state, tasks, and artifacts together.
Explore the featureVisible execution state
See agent run status, posted evidence, artifacts, tasks, and review state in the workflow room where the team owns the outcome.
Explore the featureOperational continuity
Coordinate AI agent tasks, human review, handoffs, and final decisions inside the same searchable workflow room.
Explore the featureProduct boundary
A completed agent run remains separate from a human-approved decision.
Local repository access and model-provider processing are described as separate data paths.
Connector credentials are encrypted and granted per agent; access is not assumed.
Raltic coordinates review, while sensitive external systems retain their own authorization controls.