RPA Initiatives

Boost RPA efficiency by unlocking unstructured data

Read on to discover how Indico’s breakthrough Unstructured Data Platform for the first time enables enterprises to add structure to their unstructured data – in turn, unlocking far greater value from their existing RPA solution.

The Indico Unstructured Data Platform complements your Robotic Process Automation tool by enabling you to automate processes involving unstructured data. Unstructured data accounts for up to 85% of data in the enterprise and is currently out of reach of traditional RPA and automation tools, including PDFs, documents, emails, images, audio, videos, and more. Indico takes this unstructured data, turns it into structured data, and allows you to maximize your RPA investment.

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Robotic Process Automation

Automates repetitive processes involving structured data.

Unstructured Data Platforms

Automate processes involving unstructured data, including images, PDFs, emails, Word documents, and more.

RPA + Unstructured Data Platforms

The best of both worlds – The Indico Unstructured Data Platform ingests unstructured data, converts it to a structured format, and feeds it back to an RPA tool.

Resulting in:

85%

Reduction in process cycle time

4X

Increase in process capacity

80%

Reduction in resources required

Unstructured Data Platforms vs. Robotic Process Automation explained

When comparing Unstructured Data Platforms vs. RPA, it’s worth
knowing the differences between them.


Unstructured data platforms include:
  • Machine learning (ML) and deep learning models classify and extract documents, and perform software training
  • Optical character recognition (OCR) converts document images into machine-coded text, using ML and deep learning algorithms to train for increased accuracy.
  • Natural Language Processing (NLP) analyzes text in documents, understands the surrounding context, consolidates extracted data, and maps the extracted fields to a defined taxonomy.

Customers should not be thinking in terms of unstructured data platforms or robotic process automation. Unstructured Data Platforms translate unstructured content into structured data, and feed that data back into the RPA platform being used. RPA and unstructured data platforms are combined to solve a number of use cases in insurance, financial services, commercial real estate, legal and compliance, sales and support, general operations, and more.

How the Indico Unstructured Data
Platform™ complements robotic
process automation: use cases

Invoice automation

For invoice processing, RPA can automate data input, reconciliation error correction, and some decision-making. But the challenge is dealing with the many formats different vendors use for their invoices. That’s where an unstructured data platform contributes by creating an extraction model to pull out necessary data from the invoices, normalize it to a structured format, and send it back to the RPA platform for automated data input, error handling, and so on.

Insurance claims processing

Insurance companies can automate some claim processes with RPA, such as inputting data from structured sources and ensuring required fields are completed. But, insurance claims include unstructured data from photos showing auto damage to scanned driver’s licenses in PDFs to medical images. An unstructured data platform extracts relevant information from these sources, adding value to RPA.

Contract renewals

RPA tools can automate processes triggered by a specific event, such as the end of a contract period. A cable television company, for example, can use RPA to automatically send customers an email when their contract is nearing its expiration date, urging a renewal. But, with its ability to understand context, an unstructured data solution can look at the customer’s current service lineup and activity throughout the year. This process can show an opportunity to upsell additional services.

Financial document analysis

Financial firms compile lots of data for monthly and quarterly reports. RPA can aid the process by automating data collection from various structured sources. But, introduce an unstructured PDF document to the process, and RPA hits its limit. Now, you need the OCR and potentially the NLP capabilities of an unstructured data solution to pull out relevant information and convert it to a structured format that the RPA tool can handle.

Corporate inbox (digital mailroom)

Companies typically manage a central inbox and receive many emails from customers, contractors, and suppliers, often with attachments. RPA can detect when a new email arrives with an attachment and automatically routes the email to an intelligent automation tool. IPA extracts the attachment and “reads” it, using OCR and NLP. Next, it extracts relevant unstructured content such as payment terms, invoice numbers, contractual language, etc. An unstructured data platform normalizes the data in an appropriate format and sends it to a downstream platform, such as a customer relationship management (CRM) or enterprise resource planning (ERP) tool.

Learn how to maximize your
existing RPA investment

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RPA + unstructured data
delivers big benefits

Combining RPA projects with unstructured data delivers:

85% reduction in process cycle times

Drive customer satisfaction and faster time to market for new initiatives

4x increase in process capacity

Drive customer satisfaction and faster time to market for new initiatives

80% reduction in human resources

Free up critical resources to work on higher value-add projects rather than repetitive low-value tasks

1000x less training data required

When compared to traditional artificial intelligence solutions

The Indico Unstructured Data Platform


Indico Data transforms unstructured data into actionable insights. With its innovative AI- and ML-powered software platform, enterprises of all sizes can automate, analyze, and apply unstructured data—documents, emails, images, videos and more—to a wide range of enterprise workflows. The Indico Unstructured Data Platform enables companies to gain rich insight and maximize the value of their existing software investments, including RPA, CRM, ERP, BI, by enabling these systems to work with unstructured data.


“Indico’s unique technology advantage addressing unstructured data combined with their business-first application experience enables us to solve a breadth of use cases that we previously had been unable to automate.”

-Brandi Corbello, VP Transformation, Head of CoE, Cushman & Wakefield

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