Elevate registry office activities and citizens experience with a more efficient and transparent process. Document automation provides
a centralised location to store and classify digital records for operational efficiency. You also have the ability to automatically apply
document retention rules to help you comply with data privacy regulations.
Scanned documents and images are ingested on a centralised platform through workflow and compared against the existing Register’s
dataset in order to match the image with the relevant digital record. Utilisation of ML processing enables all relevant information to be extracted from the
image and allows for records assigned to the same individual to be matched to create a digital identity.
If required, a quality control (QC) check can be implemented in order to ensure a successful match between a scanned image and a record, and/or to extract
missing information. Records which are rejected in the QC process or that generate a business exception (e.g. duplicates) are passed to the exception handling
queue. These will be dealt with by Iron Mountain teams according to the agreed business rules or, where the exception falls outside of set business rules are
placed in the customer exception queue.
The updated record database containing both a unique pointer to the image of the record (and location for complex images) can then be ingested into the Iron
Mountain InSight Content Services Platform for end to end information management. Alternatively, the extracted metadata can be ingested into an existing
content repository system.
By implementing this solution, citizens’ requests can be managed automatically. This results in a more efficient, cost effective process for government entities
and a better customer experience.