Digitalization through Intelligent Automation
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What is Intelligent Automation?
Intelligent Automation (AI) is an approach to business automation that combines advanced technologies such as Artificial Intelligence (AI) and Robotic Process Automation (RPA) to automate and improve business processes. This technology uses machine learning algorithms to learn from data and make autonomous decisions, continuously improving its ability to perform tasks. IA can help streamline business operations, reduce costs, and enhance the customer experience. Additionally, IA is suited for complex tasks like natural language processing and computer vision, which go beyond the capabilities of traditional RPA.
What is it used for?
Intelligent Automation refers to the use of automation technologies, artificial intelligence (AI), business process management (BPM) and robotic process automation (RPA)to simplify and scale decision-making within organizations.
In business operations, effective process management is a vital element for growth. According to KPMG, Intelligent Automation (IA) and Data & Analytics (D&A) are now at the top of many companies’ strategic agendas.
IA is designed to streamline processes, free up resources, and improve operational efficiency. It applies to a wide variety of functions and business scenarios. Achieving its potential requires cross-departmental collaboration, with teams working independently but in synergy, all while meeting tight deadlines.
Business leaders view IA as a key enabler of growth, offering data-driven opportunities to improve high-value activities such as customer experience. Globally, companies are turning to intelligent automation to empower the digital workforce.
In today’s post-pandemic landscape—where remote work is increasingly common—IA has emerged as a powerful tool to redefine how businesses operate.
Importantly, Intelligent Automation should not be confused with traditional RPA. IA offers a broader scope by enhancing rule-based automation with decision-making capabilities, delivering results more efficiently and adaptively.
The 3 Components of Intelligent Automation
Intelligent Automation is built upon three core technologies that together fuel digital transformation:
- AI Decision Engine
The most critical component. By applying machine learning and complex algorithms to structured and unstructured data, businesses can build knowledge bases and make predictive, data-driven decisions. - Business Process Management (BPM)
Also known as workflow automation, BPM enhances time and cost efficiency through continuous process reengineering. Modern BPM suites are vital for accelerating digital transformation and achieving strategic business goals. - Robotic Process Automation (RPA)
RPA automates simple, repetitive tasks that contribute significantly to business efficiency. By integrating AI, RPA systems can take on more complex tasks and adapt to diverse use cases, allowing human employees to focus on strategic, value-added work.
Together, these components create a transformative solution that simplifies workflows and enhances the customer experience.
The 7 Benefits of Intelligent Automation
- Cost Reduction and Productivity Gains
By automating systems and processes, IA boosts productivity while maintaining accuracy. AI is a scalable technology, enabling business optimization without increasing risk or overburdening staff. - Improved Accuracy
Consistent, data-driven processes reduce errors and enhance quality. AI-driven decision-making ensures repeatable, reliable outcomes. - Enhanced Customer Experience
Faster time-to-market, improved reliability, and higher-quality products result in better customer engagement and a competitive advantage. - Better Workflow Coordination
When IA is combined with BPM and RPA, it facilitates seamless coordination between robots, human workers, and systems. - Employee Empowerment
IA relieves employees from routine, low-value tasks, enabling them to focus on higher-impact responsibilities. - Greater Agility and Speed
Intelligent Automation accelerates data processing and enables continuous process improvement. - Simplified Document Management
Automating document handling reduces manual effort, increases speed, and decreases the likelihood of human error.
Applications of intelligent automation
AI and Intelligent Automation have applications across virtually every industry. Some of the most prominent include:
- Automotive: AI helps manufacturers predict and adjust production in real time, increasing efficiency in procurement and minimizing manual workloads.
- Biotech & Life Sciences: Highly regulated fields like drug manufacturing benefit from scalable, data-driven processes. AI enabled the rapid development and testing of COVID-19 vaccines.
- Healthcare: Natural Language Processing (NLP) supports remote appointments and chatbot-assisted diagnostics, reducing the need for human intervention and expediting patient care.
- Insurance: IA automates claims processing, rate calculations, and document handling while supporting regulatory compliance.
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