Most organizations consider customers a priority over the workforce. But, companies are starting to realize employees are the most important resource of any business and they're starting to invest in workplace technology. With the increased distributed workforce, workforce management is a big challenge and companies are failing to frame robust digital workplace strategies. Artificial Intelligence has many use cases to enhance workforce management and strategy.
Highly automated companies are 6x more likely to see revenue growth of 15%+."
With the modern workforce distributed across different demographics and cultures, the ability to manage and analyze workforce data becomes difficult. Manually running workforce analytics with several metrics on each employee and understanding what the employee needs is an ineffective and hectic task. In general, organizations run this procedure once or twice a year, which may not yield the best results.
The predictive intelligence algorithms lets business teams identify problems that are effecting the workforce and suggests solutions to fine-tune performance glitches. Increasing the performance of a team can increase self-esteem, thereby resulting in better employee satisfaction and engagement. Finally, this enables organizations to build a future-ready workforce.
The right positioning of talent delivers better productivity. Getting the right talent for the right role is the key to success for any project. Deep Learning investigates workforce behavior, generates skill maps and recommends improvements to boost skill levels to meet organizational goals. Businesses can optimize and streamline workforce efforts to drive overall operational and financial efficiencies.
"Prevention is better than the cure." AI driven tools improves workplace environment monitors online interactions by an employee on a regular basis and prompts issues prior to any damage. Knowing before the risk ever occurs, can help employers handle risk effectively.
Connectivity is the key to a successful digital transformation. To foster digital transformation, organizations are adopting IoT at an increased rate. Business are hosting more interaction platforms than ever before (smartphones, social platforms, and messaging platforms). These platforms have amplified the scope for organizations to explore connected intelligence opportunities.
Dimension Data research reveals that in the US 42 percent of organizations have employees working from home on a full time basis. So, organizations have a responsibility to reach out and offer similar service delivery experiences to employees through multiple communication platforms.
In 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity. "
Organizations shouldn’t restrict themselves with a self-assisting portal. Organizations need to mobilize these services. One way is to implement an AI driven chatbot within a mobile app, be it for project management or HR management, these chatbots interact with employees 24/7 and resolve issues immediately. Also, organizations can keep employees updated by sending personalized notifications. This bi-directional communication process can increase employee engagement and satisfaction. This results in reduced employee turnover and increased employee-organization engagement.
Tracking work status requires managers to continuously check the portal and communicate with their teams everyday, instead of focusing on strategic tasks. In this case, to avoid wasting time on continuous developments, AI-powered voice assistants or chatbots can notify the workforce about the status of the issue raised untill the issue is resolved.
79% of industry experts agree that AI is already having a transformational impact on workflows and tools for knowledge workers."
To get the issue resolved, employees don't need to worry about issues like, who to assign and route tasks to (categorizing, prioritizing and assigning) involved in resolving the issue. Workflows are optimized, keeping employees free from complex workflows involved in the service management process.