Human resources is an area where AI can have a significant impact on operations in many organizations. This technology is now integrated into daily operations, such as answering employee questions and supporting training. The most obvious impact is when an organization can measure the success of the technology, usually in time savings and number of successfully resolved queries.
Fewer tickets, more first-time responses
AskHR, IBM’s in-house virtual agent, was built to handle employee queries and automate routine human resources tasks. IBM says AskHR has automated more than 80 internal human resources tasks and conducts more than 2 million conversations with employees each year. It uses a two-tiered approach, where AI solves routine problems and human advisors handle more complex cases.
The company reports operational benefits include a 94% success rate in answering frequently asked questions, a 75% reduction in support ticket submissions since 2016, and, most importantly, a 40% reduction in HR operational costs over four years.
However, it’s important to note that IBM isn’t using AI to route queries to existing documentation. Automation can complete transactions, reducing the need to hand off queries to human staff.
Streamline recruitment and new employee training
Vodafone’s 2024 annual report describes an internal platform it calls ‘Growing with Vodafone’. The company says it has shortened the time to hire from 50 days to 48 days, simplified the job application process, and added skill-based job recommendations tailored to applicants. As a result, we’ve seen a 78% reduction in questions from potential applicants and those joining new roles.
The company also has a global workforce planning tool that reduces the manual effort required to collect the data needed, as well as an AI-powered global HR “data lake” that standardizes dashboards and reduces the need for manual reporting, allowing stakeholders to explore the data themselves and uncover the insights they need.
Training and internal support
Big employers have a challenger to get new staff up to speed quickly. The time it takes to reach so-called ability. The Bank of Americas newsroom explains how the company’s onboarding and professional development organization, The Academy, leverages AI for interactive coaching, with employees completing more than 1 million simulations annually.
The organization runs an internal assistant called Erica for Employees, which handles topics such as employee medical benefits, payroll statements, and tax forms. Used by over 90% of employees. For IT service desks, Erica triage conditions are impactful, reducing incoming calls by more than 50%.
Such tools reduce hidden work (searching, repeating questions, waiting for answers, etc.) and associated costs. Additionally, faster time to competency is particularly valuable in regulated and customer-facing environments.
Work on the front lines for major employers
Walmart’s June 2025 company update describes the deployment of AI tools through partner apps, including workflow tools that prioritize and recommend business tasks. It was still in its early stages at the time of publication, but based on early results, Walmart says it is starting to reduce the time it takes team leaders and store managers to plan shifts from 90 minutes to 30 minutes.
As a company that employs a diverse workforce, the app’s real-time translation capabilities (in 44 languages) are invaluable. The company is currently upgrading its employee software with AI to turn internal process guides into multilingual instructions. More than 900,000 employees use the system every week, and more than 3 million queries per day pass through the employee conversational AI platform.
Employee efficiencies at Walmart scale are impressive, but there are clear benefits to companies of all sizes from providing faster coaching and better support to employees across multilingual teams. In addition to immediate cost savings, this type of easy-to-use and effective software can all have a positive impact on retention, safety standards, and quality of service.
Governance and human safety nets
Multinational bank HSBC’s publication “Transforming HSBC with AI” describes more than 600 AI use cases in operation at the company, and says colleagues can access LLM-based productivity tools for tasks such as translation and document analysis. In environments where governance and data security are paramount, ensuring that all automated systems comply with existing code, which is enforced by a dedicated AI review council and AI lifecycle management framework.
This is important for HR departments, regardless of industry. Governance decisions must shape what can be automated, how people’s data is handled, and how accountability is maintained over time. Human resources data is often personally identifiable, so achieving and maintaining the highest standards is critical.
Operational trade-offs
Operational impact is not just about speed and efficiency, but also about trust. Self-service agents respond with confidence, but inadvertently cause rework and escalation, causing problems. A practical pattern to reduce risk is to keep humans in the loop, especially when it comes to complex decisions.
IBM’s two-tier model, Vodafone’s customized job listings, and Walmart and HSBC’s data governance and security provide oversight. Hybrid service models and data discipline and oversight allow you to scale AI without compromising employee trust or fairness.
where is this going
For the human resources departments of these large companies, the pattern of successful operational deployments is consistent. They each started with high-volume questions and repetitive transactions, expanded into recruitment and training, and then pushed AI to the forefront of time-saving opportunities. The biggest benefits will come when AI transforms HR from a service queue to a function that operates faster and more consistently.
(Image source: “Business Meetings” by thinkpanama is licensed under CC BY-NC 2.0.)
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