Case Studies
A service business moved high-volume intake into AI-assisted classification, summaries, and human review.
Situation
Manual handoffs hid bottlenecks and made response times inconsistent.
What changed
Review rules and data flow mattered more than model choice.
Found fields, owners, and slow handoffs.
Tagged type, urgency, and owner.
Extracted context with source references.
Monitored edits, exceptions, and cycle time.
Project shape
The first version targeted the highest-volume intake class.
Document volume, categories, fields, and risks.
Add classification, summaries, and queue updates.
Tune confidence, actions, and escalation paths.
Use volume and rework data.
Software plus operating clarity.
No. Sensitive and low-confidence cases stayed human-led.
No. The team also gained visibility into bottlenecks and rework.
Related paths
Closest to workflow automation and document intake.
Describe the inbox, queue, document, or handoff workflow.