IA, also called Hyperautomation, is a concept leveraging a new generation of software-based automation.
It combines methods and technologies to execute business processes automatically on behalf of knowledge workers.
This automation is achieved by mimicking the capabilities that knowledge workers use in performing their work activities (eg. language vision, execution, and thinking & learning).
The goal of using IA is to achieve a business outcome through a redesigned automated process, with no or minimal human intervention.
As a result, IA increases process speed, reduces cost, enhances compliance and quality, increases process resilience, and optimizes decision outcomes.
Ultimately, it improves customer and employee satisfaction and boosts revenues.
This definition has been written by the authors, inspired by IEEE Std. 2755-2017.
*IEEE Guide for Terms and Concepts in Intelligent Process Automation*
Benefit from the largest available library of 500+ IA use cases by industry and by use function
Get the lessons learned from 100+ IA transformation success (and failures)
Gain access to insights garnered from 200+ IA industry experts
Worked with +100 customers
+1 million robot Runs / month
+$100 Millions savings delivered
Filtering & Correlation on +6 Million Events / month
Large Bots footprint on +450000 servers
+50% automation rate on 600000 tickets/month
Recognized global expert and pioneer in the field of Intelligent Automation & Hyperautomation
Recognized global expert in the field of Intelligent Automation with a strong Chief Automation/AI Officer profile (CAO)
Technology leader with more than 15y´s experience in IT management and Digital Transformation.
Recognized global thought leader in the areas of AI, Blockchain and Fintech
Recognized Global Expert in Digital Innovation and Enterprise Computing
Recognized Global Expert in change and transformation in the fields of Automation and Optimization
A 20 year experienced specialist in delivering ROI and performance turnaround