As organisations increasingly use artificial intelligence to manage routine HR processes, customer implementations of greytHR show measurable reductions in the time and effort involved in everyday HR operations. Organisations have reported up to 90% reduction in HR management costs, 70–80% reduction in performance-review effort, more than 90% reduction in payroll-processing time and 70–80% reduction in routine HR queries. In reported implementations, attendance compliance has also improved from 60% to 80%.
These outcomes point to the role technology can play in changing how HR teams spend their time. As routine processes become easier to manage, the capacity released can be directed towards workforce needs, employee experience and work that requires human judgement.
The adoption of AI-assisted workflows is also reflected in greytHR NAVOS, the company’s agentic AI assistant, which has crossed 1.4 million interactions since launch and is now enabled across approximately 17,000 organisations. Active users have grown 8X since launch, while HR users make around 10 prompts a month on average.
“AI becomes meaningful to HR when it fits naturally into the work teams are already doing. The way greytHR NAVOS is being used shows that HR professionals are increasingly turning to AI for information and everyday tasks. The opportunity is to reduce the routine effort around HR so that teams have more room for work that requires judgement, collaboration and a deeper understanding of their people and business,” said Girish Rowjee, co-founder and CEO, greytHR.
The adoption is also reflected in how organisations are using greytHR NAVOS across different workforce environments.
“greytHR NAVOS has made it much easier for us to manage HR operations for our distributed workforce. Nearly 90% of our doubts are now resolved instantly with greytHR NAVOS, with almost no need to call support,” said Noorus Safvah, HR Manager, Delta Square Engineering Private Limited.
“greytHR has helped us simplify HR operations across our diverse and multi-location workforce of over 2,000 employees. By reducing our dependence on IT for routine HR configurations and replacing manual processes with structured workflows, we have reduced HR management costs by 90% and the effort involved in performance review cycles by 70–80%. This has helped our HR team spend less time on administration and focus more on strategic people initiatives,” said Shankar Aladakatti, GM – HR, Kalyani Developers.
Behind these interactions are 62 specialised AI agents across areas including core HR, recruitment, payroll, performance management, leave and attendance, workforce management and user support.
As AI becomes more embedded in HR workflows, the focus is also expanding from answering questions to helping teams complete tasks and arrive at relevant outcomes. greytHR NAVOS is being developed to support this shift, allowing HR professionals to use natural language to access information and navigate workflows while working within existing permissions, governance and security controls.