Multi-source extraction
Structured and unstructured data from PDFs, scans, emails, forms and portals.
Opervics runs data processing as a managed function — AI-assisted extraction, field validation and transformation across structured and unstructured sources, with human verification and QA on every batch.
Data processing is the operational work between raw input and usable data — extraction from documents and systems, field-level validation, transformation into your required format, and delivery into your CRM, ERP, database or reporting layer. Done poorly, it creates downstream errors that surface as billing, reporting or customer-service problems.
Opervics runs data processing as a managed function. AI-assisted extraction pulls structured data from PDFs, scans, emails, forms and web portals. Field validation catches format errors, missing values and inconsistencies before anything reaches your systems. Human QA reviews a documented sample of every batch — so accuracy is measured, not assumed.
Structured and unstructured data from PDFs, scans, emails, forms and portals.
Format checks, required-field validation, and value consistency.
Reformatting to your CRM, ERP or reporting schema.
AI-assisted duplicate flagging and exception handling.
Documented QA sampling with error rates reported weekly.
Throughput, accuracy, error rates and turnaround tracked and reported.
These are the same operational issues we see across clients — and the same ones our process is designed to remove.
Volume grows, headcount can't keep up, backlogs build.
Different operators enter the same data differently.
Bad data surfaces later as billing issues, reporting errors or customer complaints.
Nobody knows accuracy rates or where errors are coming from.
One experienced operator holds the process together.
New volume requires new hires, new training, new ramp time.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Encryption in transit and at rest, role-based access, and least-privilege workflows across every account.
NDA-bound teams, restricted environments, and auditable access logs for regulated services.
AI output is reviewed by trained specialists before it reaches your systems — no blind automation.
Service-specific SLAs, tracking, and audit-ready reporting from day one.
PDFs, scanned documents, emails, web forms, spreadsheets, web portals, and direct database extracts — structured or unstructured.
QA sampling on every batch, with error rates and accuracy trends reported weekly. You see the numbers, not just assurances.
We staff to volume and use AI-assisted extraction to keep unit costs predictable as volume grows. Additional operators can be assigned within days.
Yes. We operate inside Salesforce, HubSpot, NetSuite, SAP, Microsoft Dynamics, Zoho and other platforms with role-based access set by you.
No. AI extracts, transforms and flags exceptions. Humans verify every batch before data reaches your systems.
Per record, per batch, per FTE, or as a monthly retainer — agreed upfront with no hidden add-ons.
A short conversation is usually enough to scope the process and propose a starting point.