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Cost reduction
SLA acceleration
Back-office turn around
A large U.S.-based KPO supporting healthcare, insurance, and legal organizations was managing high-volume case file operations across medical charts, insurance claim documents, trial records, scanned PDFs, faxes, mailed documents, and email attachments.
Although many source documents were electronic, records arrived in fragmented formats with limited interoperability. Teams still had to manually collate, classify, tag, link, and assemble complete case files before analysis could begin.
This created cost pressure, inconsistent throughput, and delays that affected downstream medical, claims, and legal workflows.
As client volumes grew, leadership needed a scalable operating model that could improve turnaround and transparency without simply adding more people.
Novacis Digital delivered DigiDocPro.AI Intelligent Document Processing, a purpose-built document intelligence solution for KPO teams managing regulated healthcare, insurance, and legal case files.
The solution organized fragmented intake into a unified case record by applying image processing, text mining, document classification, data extraction, workflow routing, and analytics-driven case discovery.
DigiDocPro.AI Insights provided timeline views, chronology sorting, interactive dashboards, alerts, and action tools for faster review and better operational visibility.
The technical difference was the combination of document processing and case intelligence: the platform did not stop at extraction; it assembled facts, events, evidence, actions, and case outputs into review-ready records.
Human-in-the-loop checks, secure cloud deployment, validation workflows, and audit-ready status tracking supported governance at scale.
This shifted the operating model from document-by-document preparation to governed case-file execution.
Document Intelligence Capabilities
Case Operations Features
Novacis Digital moved the client from manual case file preparation to SaaS-based intelligent document processing through an assessment-led deployment model.
The initial rollout supported back-office teams responsible for collating, classifying, extracting, and preparing case records across healthcare, insurance, and legal end-client workflows.
The solution created early wins in processing speed, turnaround time, and operational visibility, while supporting a transaction-based model for the KPO and its end clients.
The results tied directly to the client’s need for scalable growth, reducing dependence on manual effort while improving transparency across case operations.
Delivered processing cost reduction equivalent to $400,000 avoided per $1 million of annual eligible processing spend.
Accelerated case processing by 35%, improving SLA responsiveness for healthcare, insurance, and legal end clients.
Increased throughput by 30%, allowing the KPO to absorb volume growth without adding capacity at the same rate.
Created unified case files from fragmented intake sources across email attachments, PDFs, scanned images, faxes, and mailed records.
Improved TAT by 25%, reducing manual handoffs across collation, classification, tagging, linking, and reporting.