BR’s radical new document technology enables it to offer a radical new business model for processing documents – the Document Factory.
Traditional document scanning is typically priced at three times estimated labor and those estimates are based on being able to meet peak demand using outmoded work flows. There are additional charges associated with making the scanned copy useful by adding text conversion and document coding or indexing. The result: per page scanning charges in the $.08 to $.10 range and total indexing fees to prepare a document for loading into an ECM on the order of $.92 per document for text and 8 fields of data.
The BR Document Factory economic model is radically better for businesses. Scanning charges are based on annual volumes priced at cost plus 15% with the annual budget set at 50% of the preceding three years’ scanning costs. BR can set the budget at 50% because its labor costs are substantially lower. Among other things, BR achieves far greater scanner throughput by eliminating document separator sheets that in a traditional scanning operation can account for 25% of the pages scanned. Prep time and scanning time are substantially faster without the need to use separator sheets. BR’s visual recognition process enables it to identify document breaks more consistently and accurately than manual scanning prep people or scanner operators.
Because the scanning charges are based on capacity, not pages, clients can load the factory with archived documents they would like to make accessible in an ECM and/or which they client would like to dispose of in a legally defensible matter – there is no incremental scanning cost for those documents.
BR’s glyph recognition and visual coding technology let it provide text and coded data for $.25 per document output from the system. However, BR typically only needs to output as low as 10% of the documents that are processed. Some can be eliminated as being visual duplicates of the same documents (based on visual similarity, NOT on the hash values of the scanned images), some can be eliminated as being interim work copies of final documents, and many can be eliminated because they fall into non-record clusters of visually similar records. Those that are kept can be visually coded to extract virtually unlimited key data elements.
The high level of automation in BR’s work flow and the consistent, persistent nature of the decisions made about document clusters means that once scanned, the documents do not have to be held for months pending completion of coding and QC steps.
BeyondRecognition suspects that this new business model may be disruptive to traditional scanning and coding operations using older technologies and work flows.