Use cases
H2O Document AI enables you to solve many use cases around unstructured data that:
- Vary greatly in language and layout
- Come in inconsistent or irregular formats
- Come from multiple internal and external sources
- Are digitally born, physical print, or scan/fax
- Have rigidly defined standards or contain free text
Example use case: University of San Francisco (UCSF) Health
The University of San Francisco (UCSF) Health is one of the top 10 hospitals in the United States and ranked #1 in neurology & neurosurgery.
UCSF Health struggled with numerous document processes, such as medical referrals, that led to wasted time and poor customer experiences.
With H2O Document AI, UCSF Health has fully automated multiple processes for multiple documents. As a result, higher levels of efficiency have been reported while customer experiences have improved.
"When we started this journey, we were hopeful that information extraction from semi-structured documents was possible, but we weren’t sure. Some in the industry told us it couldn’t be done. Now that the UCSF-H2O.ai collaboration team has delivered, it opens up many possibilities." - Bob Rogers, Expert in Residence for AI, UCSF
Business domains
You can use H2O Document AI in various industries, such as finance, insurance, transportation, healthcare, life sciences, telecom, manufacturing, service providers, legal, government, retail, energy, utilities, etc. For example:
| Finance | Insurance | Transportation | Healthcare and life sciences |
|---|---|---|---|
| Bank documents | Customer engagement | Air Waybil (AWB) | Medical Records |
| Bank confirmations | Policies, claims, & contracts | Contracts | School forms |
| Municipal bonds | Benefits administration | Regulatory forms | Durable medical equipment (DME) requests |
| LIBOR regulations | Special handling forms | Progress notes | |
| Marketing documents | Claim forms |
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