ClawDBot Fleet Capacity Planning: Forecasting Load Before It Breaks
Capacity planning framework for ClawDBot fleets, including demand forecasting, utilization thresholds, and staffing triggers.
Plan around peak, not average
Average utilization hides risk. Capacity decisions should be based on peak windows, queue burst patterns, and recovery time.
Modeling only average demand creates brittle plans that fail exactly when customer impact is highest.
Define red-line utilization
Set explicit utilization thresholds where quality degrades, such as rising retries, delayed acknowledgements, or SLA misses.
These red lines become action triggers for rerouting, temporary throttling, or on-call escalation.
Use scenario-based forecasting
Forecast low, baseline, and surge scenarios each week so leadership can align staffing and automation priorities.
Scenario planning gives teams a pre-agreed response playbook instead of improvising during demand spikes.
Close the loop with post-mortems
Every overload event should update your forecasting assumptions and queue admission policies.
Capacity planning is not a quarterly document; it is an operating loop tied to production evidence.