Data Entry Automator

The Problem

Administrative and support businesses run on data that needs to move between systems: client details into CRMs, invoice data into accounting platforms, form submissions into databases. Manual data entry is one of the biggest time sinks in admin operations. It is also where errors creep in — transposed numbers, misspelled names, fields entered in the wrong format. Each error creates downstream problems that take more time to fix than the original entry.

How It Works

The Data Entry Automator extracts structured data from documents, scanned forms, emails, and PDF attachments using OCR and AI classification. It maps extracted fields to the correct locations in your target systems (SAP, Oracle, Microsoft Dynamics, or other platforms), validates the data against existing records, and enters it automatically. The agent handles multiple document formats and adapts to variations in layout. When it encounters data it cannot confidently process, it queues it for human review with the problematic field highlighted.

Accurate Data Without the Grind

Data entry backlogs clear because the agent processes documents as they arrive. Error rates drop because validation is applied consistently to every record. Staff previously doing manual entry can move to more valuable work. We have delivered similar automation in healthcare — see our patient data entry case study. Our RPA services are built for this kind of high-volume data processing.