Process Optimisation

Process Optimisation

Elucidate AI dives deep into your operational processes and identifies key areas to optimize. By applying automation to repetitive tasks and intelligent algorithms to your business’s most critical processes, you free up your employees valuable time so that they can focus on higher level operations.

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Some key use cases include:

1. Process Automation

Historically, operational process have been performed manually by human employees, with repetitive tasks often leading to de-motivation and reduced job satisfaction. With the advent of modern machine learning, tasks typically reserved for human operators may be automated via intelligent algorithms and robotic process optimisation. Robotic process optimisation is a technology that enables software to carry out rule-based and repetitive tasks. Such automation frees up employees time so they can focus on higher value, engaging tasks such as analysis and the development of insights, with the added benefit of enhanced job satisfaction.

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2.Outcome Optimization

The outcome of one or several processes may be optimised for simultaneously. This is facilitated by altering any contributing (potentially automated) processes in a manner that leads to the most favourable outcome. A continuous improvement technique is incorporated to accommodate for the dynamism of your business.Common outcomes that may be optimised include typical business objectives such as profit, sales, retention and market penetration. Businesses that have been doing this manually all along benefit by leveraging modern data science techniques to enable further gains.

Furthermore, a system may block a particular user’s request or prevent a user from accessing their account if it detects potentially fraudulent activity.

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