Article -> Article Details

Businesses are going through a tremendous transition in today's tech-driven world, and automation powered by artificial intelligence (AI) is one of the primary drivers of this revolution. Intelligent Automation (IA) and Hyper Automation are two of the most discussed concepts in this subject. Despite their frequent interchangeability, the scope, technologies, and business applications of these two methodologies are vastly different.

Let's look at the definitions of each phrase, compare and contrast them, and help you choose the one that best meets your company's needs.

What is driving the surge in automation?

Gartner projects that by 2026, more than 30% of organizations will have automated more than half of their activities. Ninety percent of large firms plan to deploy hyper automation, making it a strategic priority. Meanwhile, intelligent automation transforms processes by lowering costs, increasing accuracy, and generating outcomes faster.

Market forecasts reveal:

The intelligent automation business is predicted to develop at a CAGR of 23.6% to $115.17 billion by 2034.

With a compound annual growth rate of 17.04%, the hyper automation sector is predicted to reach $270.63 billion by 2034.

It is obvious that automation is a fundamental component of contemporary company strategy and not only a passing fad.

Intelligent Automation: What Is It?

Intelligent Automation blends AI technologies like Optical Character Recognition (OCR), Natural Language Processing (NLP), and Machine Learning (ML) with Robotic Process Automation (RPA).The objective? to automate semi-cognitive processes, such as processing invoices, reading emails, and confirming documents.

Consider a financial process, for example, where IA:

extracts information from invoices using OCR,

Applies NLP to interpret and categorize it,

Uses ML to flag anomalies,

uses RPA to feed ERP systems with verified data.

This results in a clever, flexible procedure that guarantees correctness while saving time.

Core Technologies in IA:

RPA automates repetitive, rule-based processes.

AI/ML: Learns from data and improves over time.

NLP: understands and interprets spoken language.

Text is extracted from scanned documents using OCR.

Complex workflows are orchestrated by business process management, or BPM.

Advantages of Intelligent Automation

Higher operational efficiency

Cost reduction through less manual work

Improved accuracy and compliance

Faster and better customer experience

Scalable and flexible across business units

What is Hyper Automation?

Hyper-automation elevates the situation. It is an all-encompassing, company-wide approach that automates entire business ecosystems rather than simply individual jobs by combining IA, RPA, low-code platforms, analytics, and more.

In contrast to IA, which usually concentrates on specific workflows, hyper automation combines end-to-end process automation, dismantling departmental silos and guaranteeing a smooth digital transformation.

Core Components of Hyper Automation:

Automation is built on RPA and AI/ML.

Process mining: Examines current procedures to find areas for automation.

Low-code/no-code platforms: These enable even non-technical people to implement automation more quickly.

iPaaS: Links different apps and systems together.

Real-time analytics: Tracks performance, forecasts results, and facilitates wiser choices.

Benefits of Hyper Automation:

Full departmental workflow coordination

Using real-time data to make predictive decisions

High scalability for growing businesses

Better governance and compliance tracking

Fosters innovation by freeing up human capital

Intelligent Automation vs Hyper Automation: What Should You Choose?

The choice between IA and Hyper Automation depends on your business goals:

Intelligent Automation is perfect if you want to automate some tasks, like processing invoices or sorting emails.

Hyper Automation is the way to go if you want to digitally transform your entire company, including operations and IT.

Still not sure? Assessing your existing situation and directing your automation path can be accomplished by speaking with an RPA services provider such as AnavClouds Analytics.ai.

Difficulties to Remember

While automation offers immense benefits, there are challenges:

Integration with legacy systems

Data security and quality concerns

Change management

Skill gaps in teams

High initial investment

Tips for a Smooth Implementation:

Conduct frequent process audits

Use low-code tools for faster deployment

Upskill employees to embrace automation

Join forces with a reputable RPA consulting company.

Make ensuring that mechanisms for governance and compliance are in place.

Automation's Future

Automation will become a competitive need as companies aim for agility and efficiency. The long-term ROI—in terms of speed, savings, and innovation—is indisputable, despite the potential upfront cost.

Having the correct partner is crucial, regardless of whether you decide on Intelligent Automation or Hyper Automation.

AnavClouds Analytics.ai is here to help you evaluate, implement, and scale the right automation strategy tailored to your needs.

Source: https://www.anavcloudsanalytics.ai/blog/intelligent-automation-vs-hyper-automation/