What is Intelligent Automation?

It’s a valuable set of tools that can connect and automate business processes beyond RPA and BPM, such as Low-Code, RPA, AI, big data, and cloud capabilities. This can pave the way for a significant improvement in the enterprise’s segregated processes.

An effective digital automation brings together disparate data sources in one location to deliver a complete view of the business processes.

The next stage is to completely reimagine processes and workflows in order to effectively utilize the data.

However, these are frequently manual, siloed workflows tied to a department or function manual, making them prone to error and delays. This is where hyper-automation comes into its own.

Enterprises gain the most business benefits by combining digital technologies like Low-Code/BPM and RPA with advanced AI/ML-based technologies like NLP, OCR, and conversational bots. They can help you kickstart your automation strategies by working together.

With an evolving set of Al tools, you can quickly identify and automate business processes:

Intelligent Document Processing (IDP) is an example of automating data extraction from unstructured and semi-structured documents to eliminate manual data processing lags within a business process.

Conversational bots enable seamless human-machine conversations and help improve customer engagement and satisfaction.

Natural Language Processing (NLP) also facilitated human-machine interaction by enabling machines to read, comprehend, and derive meaningful insights.

Image recognition technologies can help simplify complex and large-volume information processing to support business processes such as damage estimates in auto/home insurance and finding errors on an assembly line. For intelligence Contact Center solutions, speech recognition can aid in monitoring call center interactions.

Application of this technology can benefit your business in the following ways:

• Improving interaction between people, robots, and AI decision algorithms, resulting in end-to-end business process automation. For example, using conversational bots to interact with customers and then leveraging digital bots to gather information from various legacy systems to deliver a seamless customer experience for business solutions such as Digital Banking, Digital Front Door for Patience Access and Care in Healthcare, and Intelligent Claims Management in Insurance.
• Moving the enterprise from basic process automation to more complex, long-term processes by leveraging low-code technologies that enable rapid application development and workflow automation. Most Low-Code technology vendors/System Integrators also provide pre-built solution accelerators, further reducing development time and accelerating time to market.
• Managing the full enterprise automation life cycle at scale, from identifying automation opportunities to measuring ROI based on business priorities using Business Value Analysis models. If automated using process discovery and process mining techniques, the models can identify business processes’ complexity and outcomes. These models can also aid in the prioritization of automation use cases within an enterprise and select the appropriate digital technologies to deliver end-to-end automation.

What Are the Main Components of Intelligent Automation?

• Low-Code Application Development and Business Process Management

It provides agility and the ability to deliver enterprise-ready apps, speeding up business outcomes.

Instead of extensive coding languages, these platforms employ visual interfaces with simple logic and drag-and-drop features. Know Your Customer, Policy Administration, Revenue Cycle Optimization, Customer Onboarding, Fund Accounting Optimization, HR Onboarding, Capital Calls, Franchise Management, and other business examples include:

• Robotic Process Automation

RPA is one of the most powerful and widely used automation technologies, and it is essential in the end-to-end business automation solution. RPA has yielded notable results by increasing the business’s productivity and efficiency. It makes use of ‘robots’ in computer software to conduct repetitive, rule-based digital operations including filling in the same information in several places, reentering data, or copying and pasting.

User-interface interaction, process/task execution, high volume data handling, system integration, and learning capabilities are some of RPA’s defining qualities (AI-Assisted Bots). Business processes include data migration between applications, automated data processing and validations, report production, loans, claims processing, account closure and reconciliation, and seamless data flow between current and legacy systems.

• Application of Artificial Intelligence

It is a replication of human intelligence in machines engineered to think and act like humans.

AI/ML algorithms provide several business advantages.

Shortening the time required for time-consuming data entry tasks, improving the precision of business rules and models, enabling intelligent decision making, automating and optimizing routine processes and tasks, and leveraging cognitive technologies to deliver faster business decisions are examples of these.

These technologies have grown to the point where they may now be employed in enterprise settings. 

This way customers can take a long-term, adaptive approach, experimenting and innovating with technology and new business ideas while assuming minimal risk. 

Final Thoughts

Our company assists enterprises to safely embrace and explore uncertainty by providing real-time business insights.

As a result, our customers can better integrate corporate processes and reduce silos. And, with this new 360-degree vision, they can gain a more comprehensive approach to company problems – and, most significantly, to consumer needs. Instead of being dictated by the operational architecture of the firm, business processes can now be focused toward giving the best possible customer experience.