Content Capture
Forms and Documents
Uniquely, A2iA’s recognition engines locate user-defined keywords or phrases and capture both handwritten and printed or digital information from all types of forms and documents.
- Locate and extract machine print through to complex, cursive handwriting: alpha, numeric, and alpha-numeric content.
- Process structured forms and completely unstructured free-form handwritten letters.
- Automatically index and route documents on a holistic, transaction level for increased accuracy.
- Enhance privacy by removing human interaction from document handling.
Payments
Capture policyholder payments and match them with accompanying documents to allow for automatic reconciliation and expedited response times.
- Locate and capture information from all fields on checks, both business and personal, as well as related payment documents.
- Extract and match user-defined fields, such as date, amount and payee/payor names, with related documents such as a change of beneficiary form or handwritten letter.
- Cut processing and check-float times by automatically reconciling policyholder payments.
High-Level, Advanced Classification
Large volumes of documents and their complex nature can hinder your ability to accurately and quickly route documents to various departments for processing or to other IT systems for archive or database mining. Employing A2iA’s intelligent recognition technology to perform advanced classification, regardless of volume or complexity, allows you to eliminate the risk of human-error and increase processing speeds.
Incoming documents are automatically routed based on both their layout and content. Each document is analyzed individually, as well as in relation to the others; a subject-matter is determined such as a change of beneficiary, policy change, or based on particular keywords like “flood,” “accident,” or “change of address” and then routed to the appropriate department or workflow. A2iA’s engines perform document-level classification by looking at entire envelopes or files just as a human would, so you can eliminate manual sorting, speed efficiencies and cut operational costs. |