Document as a service
Level up your automation.
Document as a Service (DaaS) is an Intelligent Document Processing (IDP) service which turns unstructured content into actionable information and transfers it to RPA robots for processing.
Feeding RPA robots with data from emails, PDFs, pictures or other free forms opens up new opportunities for end-to-end process automation for business-critical tasks. A web-based user interface provides the capability for human-in-the-loop verification and correction. The associated analytics generate new training data for the continuously learning AI models.
Conventional RPA can bring significant results in the early phase of an automation journey by automating simple, rule-based, manual or high-volume tasks. Yet critical business processes tend to consist of numerous linked tasks, some of which are complex and contain unstructured data. These are typically handled manually by service center agents. This is where intelligent document processing can help.
Do you recognise these issues in your RPA activities?
Your automation level is too low (under 40%)
Your automation scope is too narrow
Too much work is left for manual handling and processing
Robots can’t process your data (PDFs, images, emails, etc.)
Complex or fragmented spaghetti automation
AI could help but seems too expensive and difficult
Your automation business cases are unclear – or poor
Problems with RPA software upgrades
A cloud-native turnkey service
which combines RPA and AI to increase the level of automation by expanding RaaS processes to include applications where data is unstructured.
A web-based user interface
provides the capability for human-in-the-loop verification, correction and analytics. Processed documents with a confidence value below a predefined threshold are marked for human verification.
Data recognition accuracy
increases with production volume to drive a continuously increasing automation rate. This leads to fewer documents going to manual handling; creating a virtuous circle. All manual handling automatically generates new training data that enables active learning AI models.
An enterprise solution
is available with different service levels. With a guaranteed SLA commitment, customers gain rapid resolution of any issues.
DaaS uses enterprise-grade security.
Common use cases
Purchase invoice handling
Sales order automation
Quotation request automation
Master data maintenance
Structuring field reporting
Reassigning message influx
DaaS includes preconfigured modules for the most common uses cases, including the handling of invoices, sales orders and quotation requests, which are typically quite homogenous. These modules guarantee a quick start, so you save costs compared with one-off AI projects.
In addition to these common use cases, DaaS can be applied to further customer-specific unstructured data handling.
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