What is intelligent automation?

Does it use artificial intelligence?

And most importantly, how can I apply it to my organization?

For many business leaders, intelligent automation (IA) is an exciting initiative. This big picture has been thrown around future leadership summits.

“Intelligent automation is the future. It’s the next big thing,” he says. “You can’t compete without it.”

And they are right. But while it is true that intelligent automation can be a game-changer, first your organization needs to understand what it is and how it can contribute to achieving your business goals.

Intelligent automation is remarkable — and ready to make an effective difference in almost any industry, from banking and insurance to healthcare and back-office departments. But before we get to the “how”, let’s get to the “what”.

Intelligent automation examples

Intelligent automation can be an important part of your business but identifying where it can make the most impact.

For many organizations, taking advantage of IA starts with their content services platform, which provides a complete overview of all the content that is needed to deploy an intelligent automation solution quickly and efficiently۔ In this environment, IA can provide information, reduce costs, improve speed and accuracy, and eliminate barriers.

Let’s take a brief look at five smart automation solutions — and how you can make them work.

1. Intelligent capture

Intelligent capture is the linchpin of intelligent automation. Not only does it retrieve data — even non-structured data such as handwriting — but it also actually understands and classifies the data.

An effective intelligent capture solution will:

· Rate, extract and verify incoming information.

· Speed ​​of completion of the process

· Reduce costs.

· Reduce the risk of human error.

· Allow workspace really “without paper”.

Use Case: With less load than a leading truck, Super Regional Carrier deployed intelligent capture in its Accounts Receivable (AR) department.

The change, which focused primarily on moving from a “very good manual system” to remittance documents, allowed the AR team to process up to 400 documents per hour, up to 2,000. Intelligent Capture Solutions extracted remittance and payment information as soon as it entered the business and exported it to a system where information was verified against data sources known in AS / 400 and SAP.

2. Intelligent process automation (IPA)

Most companies have structured processes that they can map to flow charts, meaning they have predictable steps and results. These are processes that you can easily improve with intelligent automation to deliver meaningful value to the right people.

When done with the right solution, an intelligent process will automate:

· Carefully route the documents for approval, based on the rules.

· Automatically retrieves relevant context information.

· Automate rule-based tasks

· Send job and update notifications.

· Intelligently balance the workload.

Use the case: Years ago, a Vienna-based financial institution suffered a lot because it put new clients on board. Its legacy system was time-consuming, expensive, and scattered in various formats from data sheets to paper, all requiring frequent manual entries and the risk of errors.

By adopting a content services platform with built-in intelligent process automation, the financial institution integrates its core banking system and records everything from first customer appointments to risk rating and release, and even customer records. Allows automated processes without interruption until creation.

3. Robotic process automation

Robotic process automation (RPA) is an essential element of a fully understood IA strategy. With RPA, “bots” become part of your workforce — your digital workforce. By allowing bots to process high-volume data repeatedly, you free up your workforce for high-value tasks.

A successful RPA solution will:

· Analyze click-through processes quickly, accurately, and intuitively.

· Automatic documentation process

· Take advantage of low code, drag, and drop tools to build bots quickly and easily and create a brand new automation

· Run automation without attention or attendance, ensuring maximum boot usage and scalability

· Configure your bots using the real-time dashboard for live monitoring and intuitive management

Use case: Administrative tasks are often preceded by organizations that identify them as RPA candidates, but you can apply RPA to almost any task that follows the same procedure each time. Examples include answering frequently asked questions in customer service, verifying the accuracy of receipts based on default rules in accounting, recording staff hours and HR absenteeism, and locating logistics deliveries.