Transaction data processing
Transaction data extracted and structured.
High-volume financial data processing — transaction data, financial statements, reporting extracts and ledger data — with AI-assisted extraction and QA on every batch.
Financial data processing is the work behind accurate reporting — transaction data extracted and structured, statements prepared, reporting extracts validated, ledger data tied out. Done poorly, every downstream report and analysis is unreliable.
Opervics runs financial data processing as a managed function — AI-assisted extraction and transformation, documented validation rules, and QA sampling on every batch.
Transaction data extracted and structured.
Financial statements prepared from verified data.
Reporting data prepared and structured for BI tools.
General ledger data prepared for audit and reporting.
Faster extraction with human verification on every batch.
Volume, accuracy and turnaround reported weekly.
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.
Different operators enter data differently.
Bad data surfaces as reporting or audit issues.
Nobody knows accuracy rates or where errors originate.
New volume requires new hires and new ramp time.
Financial data handled without documented controls.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Role-based access, least-privilege workflows, auditable logs.
Segregation of duties, documented controls.
Every batch reviewed by trained finance specialists.
Volume, accuracy and turnaround reported weekly.
PDFs, scanned documents, emails, spreadsheets, accounting system exports and database extracts.
QA sampling on every batch, with error rates and accuracy trends reported weekly.
Yes. We operate inside your accounting, ERP and BI platforms with role-based access set by you.
We staff to volume and use AI-assisted extraction to keep unit costs predictable as volume grows.
No. AI extracts, transforms and flags exceptions; humans verify every batch.
Per record, per batch, per FTE, or as a monthly retainer — agreed upfront.
A short conversation is usually enough to scope the process and propose a starting point.