Heliox OS / Use cases / Autonomous workflows
Autonomous workflows

Long-running work without unlimited authority.

Heliox can plan multi-step work, run independent actions, recover durable tasks, and offer a next step—while keeping high-risk or irreversible effects behind supervision.

Durable jobsBounded parallelismInterruptible execution
Implemented with bounded autonomy

What Heliox does

  • Breaks a goal into registered actions and routes them to specialist agents.
  • Runs independent work concurrently within configured resource and agent limits.
  • Stores durable job state so supported tasks can recover after interruption.
  • Uses narration, proactive suggestions, and learned risk as advisory companion signals.

Typical flow

  1. State an outcome and relevant constraints.
  2. Inspect the plan when supervision is required.
  3. Approve only the gated action—not a blanket future authority.
  4. Review verified outputs and optional next-step suggestions.

Safety boundary

Autonomy is bounded by source policy, credentials, permission tiers, approvals, timeouts, and stop controls. Learned models may increase caution but cannot grant permission.

Known limits

Where this can fail

Not every task can recover cleanly, and not every external effect is reversible. Model quality, provider latency, application support, and missing context can still cause a plan to fail.

Inspect the evidence

Read generated coverage, measured latency, hardware boundaries, and known limitations.

Open proof center