Whilst Process Automation is about automating processes across customers, employees and systems, adding intelligence allows for a process to learn from data and make predictions when it comes to applying business rules and adapting a process for the purposes of personalising the customer experience.
Intelligent process automation is particularly useful for augmenting the capability of a knowledge worker so that the synergy of human and machine enables smarter organisations. Collectively they can act more intelligent than any person, group, or computer has ever done before.
IPA can also be used to augment digital robots in the field of RPA to process unstructured data, handle exceptions and continuously learn - RPA on its own is not intelligent because it doesn't learn.
Intelligence Process Automation isn’t new – and it’s called by many names. Gartner calls is Hyper Automationm Forrester calls it Digital Process Automation and IQPC calls it Intelligent Process Automation.
Hyperautomation deals with the application of advanced technologies, including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans. Hyperautomation extends across a range of tools that can be automated, but also refers to the sophistication of the automation (i.e., discover, analyze, design, automate, measure, monitor, reassess.)"
Whatever you call it - we believe it’s about using BPMS / Workflow, RPA, Cognitive and AI to deliver remarkable user experiences for customers and stakeholders.
Robotic Process Automation can only take you so far. Many organisations are realising that their RPA initiatives have resulted in an army of bots that aren't meeting the outcomes of the business.
To improve and make this end-to-end - businesses can apply components of Artificial Intelligence such as Machine Learning, Natural Language Processing and Robotics to provide tailored, cost-effective and smarter processes enabling an organisation to gain competitive advantage.
Machine Learning is can be useful where the correlation to an outcome is unclear
Natural Language Processing may be applied to a process where the interpretation of text or speech is required in the process.
Robotics traditionally has added intelligence in manufacturing processes but is also being applied to physical activities like delivery and assessing with the use of drones, and general-purpose interaction in the hospitality industry.
IPA enables smarter organisations through collective intelligence (human + machine). Personalised processes can be are cost-effective and provide a competitive advantage
Leonardo can provide consulting in the technologies driving IPA such as Artificial Intelligence, processing power and cloud technologies, Internet of Things and Big Data.
Most importantly Leonardo can help identify business use cases for the application of Intelligent Processing Automation.
Leonardo with its understanding of the technology and the business application of it can inspire an organisation in understanding what projects the business can now drive and how IT can deliver those projects.
Identify IPA use cases utilising current As-Is process models, identify process transformation opportunities using IPA
Led by our Process Architects adept at IPA
To ensure an organisation's data is ready for IPA
Help to develop and to deploy IPA solutions
Platform build and support (Cloud, Docker, Kubernetes, CI/CD pipelines, etc ) for hosting IPA solutions including AI models,