AI Case Study

"Legacy IT processes involve many repetitive, monotonous, intrinsically linked processes generated within Hovis’ IT function, it would take a long time to integrate these processes and systems, Thoughtonomy's solution managed to automate this and reduce the amount of repetitive tasks that were labour-intensive and time-consuming, and shifting Hovis colleagues’ focus on improving accuracy and delivery. Within IT, the Thoughtonomy IA solution will
perform monotonous, administrative tasks – executing work in the background 24-hours a day, helping to integrate processes and improve accuracy and delivery.

The use of machine learning allows the Virtual Workforce to learn without being explicitly programmed. Virtual Workers have the ability to learn directly from interactions with human workers in order to improve efficiency and effectiveness, as well as heuristic learning (using historical data and trends to adapt an action or activity) and the use of evaluation and experimentation to define the best route to a successful or timely outcome. This learning can be transferred directly into operational processes, or passed through independent governance and approval before being committed to production.

Thoughtonomy’s Virtual Workers exploit Artificial Intelligence (AI) in the form of Cognitive Data Processing (CDP) for the simulation of human intellect through learning (the acquisition of information and rules for using that information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction (identifying that a course of action is proving or likely to prove unsuccessful and modifying that course). These technologies extend the ability of Virtual Workers to deliver automation and digitization of processes across both fully structured, rules-based activities, into semi-structured and un-structured interactions where the information being provided may be unclear and/or contained in natural language interaction."