Let's connect ↗Advanced Data Capture
Turn PDFs, scans, images and fax documents into structured information for enterprise workflows. Pragma Edge Advanced Data Capture combines extraction, rules-based processing and human enrichment to connect document intake with downstream business systems.
Cloud services and workflow tools make it easier to connect tasks, but disconnected automation can move a bottleneck rather than remove it. The customer needs a process that remains understandable when an input is incomplete or an application is unavailable.
Pragma Edge brings process context, integration engineering and operational ownership into the same engagement. We map task handoffs, required data, approval points and exception routes before defining the implementation sequence.
A useful first release completes a bounded process and makes unfinished work visible. That creates a foundation for expanding automation with evidence about cycle time, manual effort and recovery, rather than assumptions about adoption.
An order may arrive digitally and still require someone to read it, rekey every field and chase the missing details. The document is electronic; the process remains manual. That makes throughput depend on a person moving information between screens.
Process document inputs from scanners, fax, desktop and mobile sources.
Apply OCR, classification and machine-learning-assisted processing to varied document layouts.
Combine rules, quality checks, reconciliation and human participation before data moves downstream.
Convert captured content into formats including EDI, EDIFACT, XML and flat files for enterprise integration.
Scope document types, extraction fields, validation rules and review thresholds. Connect accepted records to the receiving workflow and route uncertain or incomplete values to a reviewer.
Baseline the measures relevant to your engagement, then compare results through implementation and operation.
Illustrative use cases to shape your evaluation.
Give lower-volume partners a document-based entry path without asking the order team to retype the same information. Define required fields, customer identifiers and exception ownership before connecting the intake to order processing.
Separate extraction from acceptance. A readable value still needs the right business context. Route missing purchase-order references or inconsistent totals to a reviewer before the record reaches the next system.
Agree a baseline and an acceptance threshold with the process owner. These are evaluation measures, not claimed customer results.
Bring common documents and awkward examples: poor scans, changed layouts and incomplete fields. Evaluate field-level quality, review effort and receiving-system acceptance against the current process.
Plan a focused product conversation ↗