The situation
Superseva, a BPO processing high document volumes for enterprise clients, hit the classic back-office wall: extraction throughput scaled only with headcount, manual entry carried a 2–5% error rate, and QA sampled a fraction of output.
What MORR deployed
An AI-powered document pipeline integrated directly into existing BPO workflows: multi-format OCR, automatic classification, field extraction, and a validation layer that replaced manual QA — with enterprise-grade data security throughout.
The results
Per-document processing time fell from 3–5 minutes to 15–30 seconds. Error rates dropped below 1%. The operation absorbed 10x volume without proportional hiring, and the engagement is expanding into voice and analytics.
Why it matters if you run a contact centre or shared services
Documents are the unglamorous half of operations transformation — and often the faster payback. The same phased model applies: one document type, one workflow, measured baseline, then expand.