Adding Intelligence to Process Automation
- 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.
Evolving iBPMS, RPA, Cognitive and AI
- 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.
Intelligent Process Automation vs HyperAutomation vs Digital Process Automation
- 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.
Gartner and Hyperautomation
- 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.)”
Call it what you want - just don’t call us late for dinner…
- 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.
Going end-to-end with process automation
- 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.
- Applying Intelligent Process Automation
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.
How to use Intelligent Process Automation…intelligently
- IPA enables smarter organisations through collective intelligence (human + machine). Personalised processes can be are cost-effective and provide a competitive advantage
- Drivit 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 Drivit can help identify business use cases for the application of Intelligent Processing Automation.
Call it what you want - just don’t call us late for dinner…
- Drivit 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.
Intelligent Process Automation Services
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