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Intelligent automation (IA) combines robotic process automation (RPA) with advanced technologies such as artificial intelligence (AI), analytics, optical character recognition (OCR), intelligent character recognition (ICR) and process mining to create end-to-end business processes that think, learn and adapt on their own. Intelligent automation is sometimes referred to as intelligent process automation (IPA) and hyper-automation.
IA supports the design and creation of the end-to-end processes that make flexible, resilient, modern business operating models possible. Augmenting human experience with IA can unleash a new wave of innovation and inspire people to boldly create new business value by freeing up employee time from responsibilities that can be handled by machines.
Effective IA requires collaboration between IT and business functions to assess the effectiveness of existing processes, then integrate systems to drive sustainable and scalable change into the process framework. For an IA initiative to succeed, employees must be involved in the transformation journey so they can experience firsthand the benefits of a new way of working and creating business value.
IA combines RPA software—which helps automate traditionally labor-intensive, rules-based tasks that don’t require human judgement or intervention—with intelligence technologies such as:
The massive social and economic impact of the COVID-19 pandemic demonstrates that resiliency depends on smart orchestration of end-to-end digital processes.
Intelligent automation is a proven strategic lever that lowers costs or improves efficiency. But businesses are increasingly looking to IA to improve resilience and manage the pressing challenge of meeting fast-changing customer needs. Smart orchestration of intelligent automation helps in the design and creation of end-to-end business processes that make flexible and resilient modern business operating models possible and allow organizations to anticipate what’s coming and lead the change.
Some business benefits achieved by effective IA include:
RPA replaces manual repetitive tasks with more efficient automated workflows using software robots, or bots. IA adds new cognitive technologies such as AI to scale business process automation enterprise-wide and free up employees to focus on higher value work.
Examples of effective RPA include: