OpenClaw Mission Control Guide: Operating Multi ClawDBot Systems
A practical guide to OpenClaw Mission Control for teams that need to manage multiple ClawDBot systems and execution queues.
Why mission control is now mandatory
When a startup moves from one automation lane to several parallel ClawDBot workflows, coordination complexity grows faster than headcount.
A mission control layer gives operators one source of truth for priorities, policies, and escalation state so throughput does not collapse during growth.
The four operating layers
High-performing teams separate planning, routing, execution, and incident response into explicit layers instead of mixing everything inside one dashboard.
That separation makes your system auditable and easier to improve because each layer has clear owners and measurable outcomes.
Human override as a feature, not a failure
Automation should handle the common path, but operators need instant override controls for priority changes, policy exceptions, and urgent customer impact.
Fast override loops are one of the biggest practical differences between pilot-grade robot ops and production-grade mission control.
How to roll out without disruption
Start by routing only the highest-value workflows through mission control while leaving legacy automation untouched.
Then move teams one queue at a time and track cycle time, incident recovery time, and handoff delay as your migration guardrails.