Most traditional systems although extremely functional tend to be more transactional in nature; thus lacking the ability in creating a friendly user engagement. Traditional HRMS systems fall under this category. However, recent advancements in the User Interface (UI)/User Experience (UX) sector, AI and NLP have paved way to the birth of bots which have in-turn paved the way to an interactive and engaging consumer experience, giving the dull and boring HRMS a refreshing face lift.

Among the many popular products in the market, and in an effort to make HRMS more engaging, CMSS brings H# (pronounced H sharp) - a chat/speech bot which directly plugs into existing HCM solutions like : PeopleSoft, SAP HCM etc.

At the core of H#, sits H#’s AI Engine and Natural Language Processor that makes interactive HR experience feel like a seamless extension of personal HR experience.

From an employee’s induction to his exit, H# helps perform HR related tasks like - fetching salary information, applying for leave, fill forms, take surveys and even collaborate with other employees - through a unified chat, speech and mobile interface. All while giving HR a whole new touch point for employee engagement - with a hint of personality and being as natural as having a conversation.

A snippet of how H#’s AI engine leverages HCM

•  Optimizing Helpdesk: Most queries that are raised to HR helpdesk are repetitive in nature. With the Capabilities of artificial intelligence and machine learning, bots can now understand user’s intent and drive out responses based on the logged in employees profile. Thus, resolving a query without having to wait in queue. Not only is this an advantage on the employee end, but also, help’s the human resources team to expend their time in other employee engagement activities.
•  Content recognition from large documents: Policy documents typically contain comprehensive content about various policies, consequently making them difficult to read and extract information from. H# can assist an employee looking for specific information from the policy document.
•  Notify events and perform actions: H# could be used to push notifications. As an example, H# could push out messages during an emergency like floods or remind them of upcoming performance review meetings.
•  Suggestive Assistance: With data intelligence H#’s engine could assist decision makers by seeking relevant information from sources.