Agentive use cases in FDI-HCM refer to scenarios where the system, often powered by a large language model (LLM), acts as an 'agent' to provide proactive data and insights based on questions asked specific to a domain, and sometimes offer recommendations or actions to drive better outcomes for the workforce, employees, and the organization as a whole.
If you or your customers have any such use cases, please share with us below.
