How AI and automation Are reshaping contingent workforce management
Aaron Wawman

Sales Director

How AI and automation Are reshaping contingent workforce management

The world of work is changing rapidly, driven by technological advancements and evolving business needs. One of the most significant shifts has been the rise of the contingent workforce, with freelancers, contractors, and temporary employees helping organisations fill skills gaps with flexibility and speed 

The integration of AI in workforce management is increasing, and revolutionising how organisations source, manage, and optimise their contingent talent pools. 81% of UK HR experts are open to integrating AI into their workplace functions, with half expressing excitement and curiosity about its potential.  

AI in contingent workforce management: Transforming talent acquisition and deployment 

AI is making waves in contingent workforce management by streamlining recruitment processes, taking the first steps of decision-making, and potentially matching talent more accurately 

AI-powered platforms can analyse huge amounts of data to identify the best candidates for a project, predict future talent needs, and assess worker performance in real time. For contingent workforce management, this could mean faster onboarding, reduced hiring bias, and more precise alignment between business requirements and workforce capabilities. 

However, there are some concerns about relying on AI too much in this area. For example, if the data used to train AI systems contains existing biases, these tools may inadvertently overlook highly qualified candidates who don't fit historical patterns.  

One historic example of this was when an algorithm that was being tested as a recruitment tool by an ecommerce company was found to be sexist and had to be stopped. The AI system was said to be trained on data submitted by applicants over a 10-year period, much of which came from men. 

To ensure successful use of AI in workforce management, ongoing human oversight and input, along with leveraging the most current and accurate data, will be essential for guiding fair and effective decision-making. 

Automation in contingent workforce management: Streamlining processes and boosting efficiency 

Automation in HR and workforce management is reshaping how organisations handle administrative tasks and compliance requirements, freeing people up to focus on strategic initiatives.  

Automated systems can manage onboarding, time tracking, invoicing, and contract renewals for contingent workers, reducing manual errors and ensuring consistent compliance with labour regulations.  

This not only enhances operational efficiency but also minimises risks associated with managing a flexible workforce. Some examples include: 

  • Automated onboarding: Digital workflows can accelerate the integration of new contingent workers, ensuring they have access to all the necessary tools and information from day one. 

  • Payroll and compliance: Automation can track hours worked, calculate payments, and handle tax documentation, simplifying complex processes for both HR and workers. 

  • Performance management: Automated feedback systems collect and analyse performance data, enabling data-driven decisions for future assignments. 

 

In the same way as in AI, automation needs monitoring and managing in a number of scenarios. For example, automated onboarding will be designed for the masses and might not meet the needs of workers with disabilities Using automation alone to make decisions on future assignments of workers might not take into account nuances such as preferred environments, personalities, and job satisfaction, which would affect future performance and retention.  

Whilst there is much to be excited about with AI and automation in workforce management, the value of human oversight and input cannot be underestimated. 

Future of Work technology: Shaping workforce strategy innovation 

The convergence of AI and automation is quickly driving contingent workforce strategy innovation forward. Organisations are leveraging advanced analytics, cloud-based platforms, and digital collaboration tools to create agile, data-driven contingent workforce programmes. These technologies enable organisations to quickly scale teams up or down in response to market demands, access niche talent pools, and try to ensura a culture of continuous learning and adaptation. 

 

Organisations can potentially build more flexible, efficient, and innovative workforce strategies by embracing AI and automation technology, unlocking new opportunities in talent acquisition, engagement, and performance. As technology continues to evolve, those who invest in workforce strategy innovation will lead the way in attracting and managing top contingent talent.   

But ultimately, it will be the organisations that retain the human touch and harness the unique skills and insights of real people, alongside AI and automation, that achieve the greatest success in this evolving landscape. 

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