Intelligent Automation Tools, Technology and Solutions - Indico Data
How to automate processes which include unstructured data
Bring artificial intelligence to bear on processes involving unstructured data – and reap big business benefits.
Key Benefits of Intelligent Automation
Empower process owners
Intuitive point and click interface for unstructured data classification, extraction, and workflows; no data scientists required.
Reduce Process Cycle Times
Realize an 85% reduction in process cycle times while increasing process capacity by 4x and reducing human resources required by 80%.
Move Beyond Robotic Process Automation
Go beyond RPA and automate your most complex unstructured document-based workflows – with no need for templates or rules.
Result: Businesses can use intelligent automation to unlock their unstructured data.
85% reduction
in process cycle time
4x Increase
in process capacity
80% reduction
in resources required
What is Intelligent Automation?
Enabling organizations to automate their most complex document-based workflows
Intelligent automation software enables companies to automate processes that include unstructured data, including emails, PDFs, Word documents, images and more. Typically, at least 80% of all data in an organization is unstructured.
Robotic process automation (RPA) vs. intelligent automation
RPA is good for automating highly repetitive processes that are performed the same way time after time. But it can only deal with processes involving highly structured data. The same is true of templated approaches to automation that use optical character recognition.
Some RPA vendors claim to incorporate AI technology to automate all kinds of processes. However, many solutions are based on a rules engine that can’t effectively deal with unstructured data.
An effective enterprise intelligent automation platform is built on a massive database of labeled data points, enabling it to “read” and understand unstructured data much like a human would.
Intelligent Automation Use Cases in Financial Services, Insurance and More
Mortgage Underwriting
Automating the process by “reading” the documents and extracting relevant data for input into the bank’s credit evaluation system.
Invoice & Purchase Order Processing
Creating an extraction model to pull out necessary data from different formats of vendor invoices, normalizing it to a structured format.
Customer Contract Processing
Reviewing the customer’s current service lineup to identify upselling opportunities.
Corporate Inbox Automation/Digital Mailroom
Reading emails and attachments to extract relevant unstructured data and normalization for downstream systems.
Customer Onboarding
Automatically classifying onboarding documents and inputting relevant data into the bank’s digital management system.
Claims Processing
Automating the classification and annotation of new insurance claims and extracting pertinent information from documents.
Insurance Underwriting
Creating models to categorize and extract data from a variety of documents quickly.
Bringing transformational efficiencies to the enterprise
85% reduction in process cycle times
4x increase in process capacity
80% reduction in human resources
Ease of use
1000x less training data required
Built for unstructured data