The use of artificial intelligence within cloud environments enable automation to occur. Automation, within the cloud context, means processes that can be performed without the intervention of a human at any point in the task flow. The machine automatically will obtain all the necessary information needed to perform an event, then carry out the performance of the event on a schedule, track its progress, measure its results, and capture it all in a log that is safe and secure for posterior analysis.

The advantages of using automation over legacy systems is almost unmeasurable since the results are radically different. It no longer is just about speed and accuracy, automation surpasses legacy systems by integrating with other systems, enabling further artificial intelligence integration, and completely change the culture of the business. It no longer is a comparison to determine which methodology is better, it is now an inevitable reality: firms who fail to implement automation will fall behind competitors who do. For instance, take supply chain management, where time means money. As industry tycoon Nader Mikhail stated: ‘for the average Fortune 100 company, a supply chain shortened by just one day frees up anywhere from US$50 million to US$100 million in cash-flow.’

In our experience, firms tend to start by integrating automation for mundane and iterative tasks. The boring tasks no one in the organization wants to do given their repetitive nature. These are the prime tasks to be validated first. Once an enterprise has deployed an automation process and gauged its benefits, the results are always the same: they will want more automation.

At DFX-5, we help organizations complete critical tasks with little to no human intervention. Our industry tested solutions empower your employees to accomplish more with less. Your workforce should focus on doing more revenue generating actions, rather than repetitive operational tasks.

For example, one of our clients had multiple employees performing voice-to-text message transcriptions. While the work continued to pile, the employees had trouble keeping up with the new volume of messages needed to transcribe. Meanwhile, the employer was hesitant on hiring new workers since the transcriptions were highly technical and required domain expertise, not just an understanding of the language. The situation was becoming problematic and the employer could no longer grow the business due to a scalability limitation. We suggested the use of a machine learning service that automatically transcribes the audio files into texts. Then the texts could be reviewed by the staff. The simple workflow diminished the time needed to transcribe each file and enabled the company to complete all the work within the timeframes and there was no need to hire new staff. In fact, the employer saved so much time, that not only was the staff able to complete the work on time, they could handle new clients given they had a scalable system for transcriptions.

The type of process we automate:

• Iterative Tasks
• Contact Centers
• Lead Generation
• Voice-to-Text, Text translate and Text Comprehend
• Image analysis and text capture from images