From employee onboarding to invoice processing, chances are your organization has many workflows that include documents. To perform your business activity, the data contained in these documents (unstructured data) has to be extracted and structured. Many companies do this today without the use of automation by manually performing data entry that is slow and expensive. When companies do use automation, they use optical character recognition (OCR) which requires time-consuming setup and maintenance to accommodate for variations in document formats. There is a better way to solve this problem: using artificial intelligence (AI) and machine learning (ML).
Using AI for document-centric business processes at enterprise-scale requires:
We built Appian's Intelligent Document Processing (IDP) to address all of these requirements and more. Here is a diagram to help you visualize how this works.
Let me explain each one in more detail.
Appian IDP leverages the cutting-edge AI services that Google provides. Google Cloud AutoML Natural Language and Google Cloud Document AI are used to classify incoming documents and extract the data from documents. These services use machine learning to understand documents by identifying data relationships within the documents as key-value pairs. As such, you'll be able to more easily manage document variations and more accurately extract data than with a simple OCR approach. We invested in making these capabilities seamlessly accessible to our customers. It takes just a few minutes to get started and no AI expertise is needed.
AI and machine learning is only a part of the equation. When processing complex documents at scale, inputs from people are often required to ensure smooth processing. Appian IDP is built to enable a seamless interaction between people and AI models when AI models are not confident enough a person can review and provide inputs. Also, the inputs that people provide are used to make the classification and extraction more accurate. In other words, as you process more documents, your ability to accurately classify and extract information improves and the need for human involvement decreases.
Many business processes require people to reconcile and validate the data that has been extracted from documents for accuracy. IDP provides an intuitive user interface that makes it easy to compare the document and the extracted data side-by-side and perform any reconciliation if needed.
The use of AI services allows us to identify the data relationships in the documents in the form of key-value pairs. This allows the user to perform rapid "point-and-click" reconciliations. The result is faster and more accurate document processing.
For most business processes document extraction is just a part of a larger process and there could be many steps either before or after the document processing step. Appian provides you with the flexibility to build your end-to-end business processes. The business workflows can span across people, RPA bots and AI models as shown in Figure 4 below.
The IDP capabilities are built to be modular. It can be easily incorporated as a subprocess within an existing business process or it can be used to integrate with other systems using APIs. You can use the IDP APIs to start document processing, check on the status of the document, and retrieve the extracted data from documents. The entire application is pre-built for you with a number of document types available out-of-the-box.
In conclusion, IDP brings people and cutting-edge AI together to solve document processing problems at enterprise-scale. It's fast and easy for organizations to use IDP without requiring specialized ML/AI skills. It just takes a few minutes to get started.
Try Appian IDP using the Appian Trial or request a Demo to see Appian IDP in action.
Appian is a software company that automates business processes. The Appian Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences.