Digital employees powered by AI and machine learning
AI-enabled Digital Workforce enables organizations to be more productive, with a better employee experience and improved customer satisfaction.
Tara is one of the six digital works of workFusion. Tara is a sophisticated bot — complete with a name, face, personality, CV, and deep industry expertise and experience.
Enterprises today in every sector are facing the greatest labor shortage in history, and it’s even more difficult to source, hire, and train knowledge workers who can perform complex jobs that require numerous daily data-driven decisions.
According to the US Labor Department, around 4.5 million employees left their jobs in November 2021, a trend that was observed since September 2021 with 3% of the workforce quitting their jobs each month. This amassed a record 75.5 million resignations in 2021 in America alone and the trend is expected to continue this year. Furthermore, 23% of the workforce have expressed the desire to switch to new companies in 2022.
Why is great resignation happening?
The Great Resignation started when the American administration refused to provide employee benefits in response to the COVID-19 pandemic and was fueled by burnout, switch from office to work from home culture, desire to move into a more suitable profession, and long-term goals.
A 2021 study conducted by Zety on the Great Resignation concluded the biggest causes of quitting. Low salary, limited career opportunities, not being valued by the manager, relationship with colleagues, inadequate pandemic health measures, poor employee benefits, switch the job industry, negative interactions with customers, on-site work, and seeing other colleagues quit are some of the major reasons of the Great Resignation. [jagranjosh]
Through digital workers Businesses can expand their team’s capacity with “digital colleagues who never get tired, can’t be distracted, and perform flawlessly. these new digital workers arrive on the job fully trained, are immediately productive, and can work independently or under supervision (what’s known as “human-in-the-loop” interaction).
These digital workers can be deployed as-is, or companies can customize them so that they are unique to their businesses and processes. It would be a self-learning ecosystem of digital workers. They can be up and running in a short period of time, increasing time to value while reducing costs, speeding compliance, and enhancing customer and employee experiences.