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Generative AI

Enhancing recruitment process outsourcing with Generative AI

Generative AI in business has led a revolutionary paradigm shift – in recruitment and talent acquisition processes – among other operations. For CEOs, CTOs, and HR managers at the helm of multinational organisations, understanding the importance of Generative AI in talent acquisition is not just beneficial — it’s essential. As per a McKinsey report, 60% of companies use their generative AI systems in talent acquisition.

RPO is a strategic approach where businesses delegate all or part of their recruitment activities to external providers. Unlike traditional in-house recruitment, RPO offers scalability, consistency, and access to specialised expertise, making it particularly advantageous for multinational organisations. While RPO providers manage end-to-end recruitment processes, their AI for business models can ensure that businesses focus on their core operations while still attracting top talent.


Benefits of generative AI in the recruitment process outsourcing

In today’s global talent market, where the competition for skilled professionals is fierce, RPO providers must leverage the latest technologies to deliver superior results. This is where Generative AI in recruitment process outsourcing comes into play. By integrating Generative AI, RPO providers can enhance their capabilities, offering more efficient, accurate, and bias-free recruitment solutions.


Automating and standardising recruitment

The automation capabilities of Generative AI in talent acquisition are particularly beneficial for RPO providers. AI can handle tasks such as resume screening, interview scheduling, and candidate follow-ups, significantly reducing turnaround times. Once these tasks are completed, human teams can focus on relationship-building, onboarding, designing candidate experience management, etc.

AI-driven tools can standardise recruitment processes across different regions and job roles, ensuring consistency and compliance with local regulations. This is particularly important for multinational organisations, where recruitment practices may vary across markets.


Scalability and flexibility

The  exceptional use of AI in RPO for business success

The exceptional use of AI in RPO for business success

One of the key advantages of enhancing RPO with Generative AI is the scalability and flexibility it offers. AI-driven RPO solutions can easily adapt to the changing needs of businesses, whether they are scaling up recruitment efforts during periods of rapid growth or scaling down during restructuring phases. This flexibility is invaluable for global organisations that must navigate fluctuating market conditions and talent demands.


Cost-effectiveness

By automating labour-intensive tasks, generative AI in recruitment process outsourcing reduces the overall cost of recruitment. It also reduces the time-to-hire, which can be critical in competitive markets where top talent is quickly lapped up. AI’s ability to improve candidate-job fit reduces turnover rates, leading to long-term cost savings for organisations.


Candidate matching and selection

Generative AI in recruitment process outsourcing can analyse candidate profiles and match them with job descriptions more accurately than traditional methods. AI-powered tools can analyse vast amounts of data from various sources and cross-reference it to gain valuable insights. With this data, it can identify candidates with the skills and experience that best match the job requirements. This ensures a better alignment between candidates and roles, leading to better hires.


DEI compliance

In perhaps one of the most crucial aspects of HR operations, AI for business goes beyond automation. Generative AI helps reduce unconscious biases in the recruitment process. AI-driven tools can anonymise candidate information, such as names and demographic details, ensuring that selection decisions are based solely on skills and experience. This promotes diversity and inclusion, which are essential for fostering innovation and growth in any business.


Challenges in implementing generative AI in RPO

As with all modern use cases of AI models, generative AI in talent acquisition and RPO helps businesses optimise their processes, reduce costs, and build a more diverse and inclusive workforce. However, some facets of recruitment need to be carefully navigated. Here’s a heads-up for those challenges.


Integration with existing systems

One of the primary challenges is integrating AI tools with existing HR and recruitment platforms. Successful integration requires seamless data flow and compatibility, which can be complex, especially in organisations with legacy systems.


Data security and privacy concerns

Another critical consideration is data security. With AI for business applications handling sensitive candidate information, it’s vital to ensure that data is protected and compliant with international privacy regulations like GDPR and ISO 2700 series.


Maintaining human oversight

While AI offers numerous advantages, maintaining human oversight is crucial. AI tools can enhance recruitment processes, but human judgement is still indispensable to handle complex situations and ensure that recruitment decisions align with the organisation’s values and culture.


How can Infosys BPM help leverage generative AI in talent acquisition?

Overcoming the challenges of using generative AI in recruitment process outsourcing requires compelling research, expertise, and experience. Infosys BPM brings Infosys Topaz, an AI-first platform equipped to transform business operations.

Using the AI for business model, enterprises can effectively tackle the recurring challenges in AI use in talent acquisition.


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