Overview
A modeled document-operations benchmark compares repeated full-context inference with a controlled cached-context workflow.
The problem
Large, repeated source bundles increased latency and token cost even when most of the context stayed unchanged.
The solution
Stable knowledge was cached, task context was compressed and uncertain extractions were escalated before release.
The results
Each result below is modeled against the defined baseline and quality gate. It is not yet an independently verified customer claim.
31% fewer tokens
Stable context was reused instead of resent.
6% higher quality
Escalation reduced unsupported extractions.
29% lower cost
Efficient models handled bounded document steps.
Conclusion
This study provides a transparent deployment hypothesis for the workload. Flo
cta validates the same path against real company data before any saving is presented as realized.