Scale-out
Capacity on demand
Agent concurrency crosses a threshold. RPA allocates additional qualifying PersonAs from documentary inventory so no action ships without someone it could be associated with.
ET-01Collective attribution · fictional
EtAl™
Elastic Attribution Layer
And others. On demand.
Human accountability that scales with your workload. EtAl orchestrates responsible-party capacity and consequence distribution alongside PersonA™, FrameWork™ and ExhibitA™ — it replaces none of them.
Your agents scale automatically. Now everyone else can too.
RPAEtAl module
Fictional capabilityResponsible Party Autoscaling™
Powered by Elastic Liability Architecture™
Traditional RPA automated humans out of the workflow. Extant RPA puts them back in the incident report.
RPA keeps responsible-party capacity in step with agent throughput. When workload rises, it provisions PersonA™ representations; when workload falls, it releases them from future allocation.
Scale-in
Graceful deprovisioning
Idle representations leave the pool. Prior attributions, packages and records stay exactly where they were delivered.
“RPA deprovisions the PersonA. It does not release the person.”
Handoff
Upstream of CDN™
RPA supplies capacity. Delivery is the Consequence Distribution Network’s job.
“RPA makes sure there is someone. CDN makes sure it lands on them.”
Platform Logic
Capacity tracks demand. Zero attribution backlog.
Human Reality
Provisioning a representation does not ask, inform or involve the person it is derived from.
Agent Latitude
Throughput is never throttled waiting for a human to become available.