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Customer
A large management consulting firm
Industry
Shared Services
Region
North America

650% ROI​

Realized within 12 months

87% capacity​

Increase across an entire team of knowledge workers​

98% reduction​

Processing time dropped from 15 mins to 15 secs​

The Customer

A company within the management consulting industry approached the Roots Automation team for help indexing and uploading documentation. This Customer’s work product is knowledge. As a result, they have a knowledge base hosted externally where they store their work product, such as presentations, white papers, research, and other written and visual content. This knowledge base allows their team to quickly find information that might be pertinent to other customers. 

This Customer is a large management consulting firm with an estimated $9 billion in revenue, supported by 11,000 employees.

The Situation

As a management consulting firm, our Customer produces massive amounts of knowledge. The Customer’s knowledge base stores their products – presentations, white papers, research and other content. Because the knowledge base is massive, the team needed to classify and index all documents and content for easier navigation and management. Each document needed to be read, classified and uploaded.

Prior to partnering with Roots Automation, the Customer was sending this work to their offshore team in India to review, classify, add and index this content into their knowledge base.

The Challenge

The offshore team classifying these documents had different coding standards, which often led to mislabeled or misclassified documents. Additionally, each document took around 15 minutes to process, making this a very time-consuming endeavor. Poor accuracy and mistakes in manual classification impacted the on-shore team’s ability to quickly find pertinent information or resources.

The Solution

Using Document Vision and Machine Learning, we trained a Digital Coworker to read documents, classify data according to metatags and upload into the knowledge base under the right folder. We used Natural Language Processing (NLP) and Optical Character Recognition (OCR) to enable the Digital Coworker to complete these tasks. Then, we enabled an easy search and find function, which not only optimized the document indexing process, but also improved the workload of the FTEs searching for these documents.

The Customer is now able to process documents in 15 seconds, compared to 15 minutes with their previous manual process. This was a +98% reduction in document processing times. Additionally, accuracy skyrocketed, alongside an 87% reduction in reliance on manual entry.

Within 8 months, the Customer reached a 650% return on investment. This extreme return is due to several factors, including the +98% decrease in time spent manually processing documents, as well as the 87% reduction in reliance on humans to complete this process.

Today, there are only 3-4 employees participating alongside this Digital Coworker, whereas the Customer previous had to rely on off-shore teams to supplement the manual effort. Although Roots Automation has opted not to work within the management consulting and business services industry in favor of our preferred healthcare and insurance sectors, this remains a highly productive form of automation.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

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Cras imperdiet placerat leo, finibus porttitor nisl euismod sed. Quisque consectetur, nisi nec consectetur faucibus, leo tortor luctus libero, in accumsan massa metus in est. Nullam vitae mollis metus, sit amet posuere dui. Vestibulum nec dui tincidunt, malesuada mauris ut, fringilla justo.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

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  3. Quisque eleifend tempor eros aenean et tempus neque nam ut porttitor velit maecenas consectetur, lacus at commodo efficitur, est neque tincidunt leo, et dictum nunc lorem a est.
  4. Maecenas viverra turpis vitae eros tempus porttitor nulla tempor nunc eros, eu elementum arcu dapibus a etiam a tristique metus.
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