Government services
Document intake, classification, and assisted extraction with reviewer queues—clearing backlogs and sustaining faster turnaround.
Context
Seasonal peaks and paper-heavy processes created unpredictable queues. Staff spent time on repetitive sorting and data entry instead of decisions that require judgment. Citizens experienced long waits precisely when demand spiked.
Approach
We implemented governed document intake with OCR, classification, and assisted extraction. Reviewer queues, SLAs, and exception paths kept humans in control for edge cases while automation absorbed the bulk of repetitive work.
Impact
The backlog cleared and teams sustained faster turnaround during the next peak season. Leadership could track queues and SLAs in real time, and thousands of staff hours shifted to higher-value citizen-facing work each year.
4.2k+
Staff hours redirected annually
Human-in-the-loop
Reviewer oversight
Real-time
SLA visibility
Share your objectives and constraints—we'll respond with a clear path to a demo or discovery workshop.
