Most organisations have vital knowledge trapped in scanned documents. Extracting this information is expensive and time consuming
Many organisations have vast amounts of their knowledge trapped in scanned documents.
This may be entity information – names, business numbers, contract values, dates, $ amounts, etc.
Or it may be financial information sitting in columns in a report or P&L statement.
Extracting and applying information from these documents is extremely difficult:
- Scanned documents are images and cannot be edited using text editing tools
- Traditional OCR technology only delivers the content into textual format, with high error rates
- Mapping of relationships between entities is a costly manual exercise
1WordFlow Reveal is:
Identifying Trust Deed Beneficiaries for AML Compliance
A major bank was faced with the challenge of identifying all overseas domiciled trust beneficiaries in order to ensure compliance with Anti Money Laundering (AML) legislation.
In addition to identifying the domicile, they needed to establish where the beneficiaries had related entities.
The bank held several thousand trust deed documents in scanned PDF format. The time frame for compliance was too short to allow this process to be completed manually.
The bank needed an automated solution that would extract the required information quickly and accurately.
How 1WordFlow Helped
The Bank now has a repeatable, scalable process for ensuring ongoing compliance.