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AI’s Operational Impact on Human Resources

Sam Marten – Tech & AI Writer by Sam Marten – Tech & AI Writer
December 18, 2025
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Introduction to AI in Human Resources

Human Resources is an area in many organisations where AI can have significant operational impact. The technology is now being embedded into day-to-day operations, in activities like answering employees’ questions and supporting training. The clearest impact appears where organisations can measure the tech’s outcomes, typically in time saved and the numbers of queries successfully resolved.

Fewer Tickets, More First-Time Answers

IBM’s internal virtual agent, AskHR, was built to handle employee queries and automate routine HR actions. IBM says AskHR automates more than 80 internal HR tasks and has engaged in over two million conversations with employees every year. It uses a two-tier approach, where AI resolves routine issues, and human advisers handle more complex cases. The company reports some operational benefits: a 94% success rate in answering commonly-asked questions, a 75% reduction in the number of lodged support tickets since 2016, and – the headline figure – a 40% reduction in HR operational costs over four years.

Recruitment and Onboarding Efficiencies

Vodafone’s 2024 annual report describes an internal platform it calls ‘Grow with Vodafone’. The company says it’s reduced its time-to-hire periods from 50 days to 48 days, made the job application process simpler, and added personalised skills-based job recommendations for applicants. That’s led to a 78% reduction in questions posed by potential applicants and those onboarding into new roles. The company also has a global headcount planning tool that reduces the manual work needed to assemble necessary data, plus there’s an AI-powered global HR ‘data lake’ that standardises dashboards and reduces the need for manual reporting – stakeholders can dive into the data themselves and surface the insights they need.

Training and Internal Support

Big employers have challengers getting new staff up to speed quickly; so-called time-to-competence. Bank of Americas’ newsroom describes how its onboarding and professional development organisation, ‘The Academy’ uses AI for interactive coaching, with employees completing over a million simulations in a year. The organisation operates ‘Erica for Employees’, an internal assistant that handles topics like health benefits and payroll or tax forms for employees. It’s used by over 90% of employees – for the IT service desk, having Erica triage situations is impactful, with a reduction of more than 50% in incoming calls.

Frontline Work at Big Employers

Walmart’s June 2025 corporate update describes rolling out AI tools via its associates’ app, which include a workflow tool that prioritises and recommends work tasks. At the time of publication, it was early days, but based on early results, Walmart says team leads and store managers are beginning to see shift planning times down from 90 to 30 minutes. As an employer of a diverse workforce, its app’s real-time translation ability (44 languages) is invaluable. The company is currently upgrading its associates’ software with AI to turn its internal process guides into multi-lingual instructions.

Governance and Human Safety Nets

Multinational bank, HSBC’s publication, “Transforming HSBC with AI” describes over 600 AI use cases in operation at the company, and says colleagues have access to an LLM-based productivity tool for tasks like translation and document analysis. In an environment where governance and data security are of paramount importance, it’s ensured that all automated systems abide by existing codes, something that’s enforced by dedicated AI Review Councils and AI lifecycle management frameworks. In HR this matters, regardless of vertical. Governance decisions should shape what can be automated, how people data is handled, and how accountability is maintained into the long term.

Operational Trade-Offs

Operational impact is about trust as well as speed and efficiency. A self-service agent answering confidently but incorrectly creates rework, escalations, and causes problems. A pragmatic pattern for reducing risk is to keep humans in the loop, especially for complex decisions. IBM’s two-tier model, Vodafone’s tailored job recommendations, and Walmart an HSBC’s data governance and security bring oversight. Hybrid service models plus data discipline and oversight are what enable AI to scale without undermining employee confidence or fairness.

Where This is Heading

The pattern of successful operational deployment has been consistent in the cases of the HR function in these large enterprises. They each started with high-volume questions and repetitive transactions, expanded into hiring and training, and then pushed AI to the frontline where it can save time. The biggest gains come when AI turns HR from a service queue into a faster, more consistently-operating function.

Conclusion

The use of AI in Human Resources has the potential to significantly improve operational efficiency, reduce costs, and enhance the overall employee experience. By automating routine tasks, providing personalized support, and enabling data-driven decision-making, AI can help HR teams to focus on more strategic and high-value tasks. As the technology continues to evolve, it is likely that we will see even more innovative applications of AI in HR, leading to greater benefits for both employers and employees.

FAQs

  • Q: What is the main benefit of using AI in HR?
    A: The main benefit of using AI in HR is to improve operational efficiency, reduce costs, and enhance the overall employee experience.
  • Q: How can AI be used in recruitment and onboarding?
    A: AI can be used in recruitment and onboarding to automate routine tasks, provide personalized job recommendations, and streamline the application process.
  • Q: What is the importance of governance and human safety nets in AI-powered HR systems?
    A: Governance and human safety nets are crucial in AI-powered HR systems to ensure that automated systems abide by existing codes, handle people data securely, and maintain accountability.
  • Q: How can AI be used to support employee training and development?
    A: AI can be used to support employee training and development by providing interactive coaching, personalized learning recommendations, and real-time feedback.
  • Q: What is the future of AI in HR?
    A: The future of AI in HR is likely to involve even more innovative applications of the technology, leading to greater benefits for both employers and employees.
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Sam Marten – Tech & AI Writer

Sam Marten – Tech & AI Writer

Sam Marten is a skilled technology writer with a strong focus on artificial intelligence, emerging tech trends, and digital innovation. With years of experience in tech journalism, he has written in-depth articles for leading tech blogs and publications, breaking down complex AI concepts into engaging and accessible content. His expertise includes machine learning, automation, cybersecurity, and the impact of AI on various industries. Passionate about exploring the future of technology, Sam stays up to date with the latest advancements, providing insightful analysis and practical insights for tech enthusiasts and professionals alike. Beyond writing, he enjoys testing AI-powered tools, reviewing new software, and discussing the ethical implications of artificial intelligence in modern society.

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