HomeBuzzAI Based HR Chatbot to Answer Questions Automatically

AI Based HR Chatbot to Answer Questions Automatically

To assist HR regarding the management related the queries and question a chatbot has been developed that will answer employees question automatically

Leena AI wants to change the traditional time-consuming methods of asking a query or answering it by building HR bots to answer questions for employees instantly. The first startup called Chatteron, which the founders started that product has helped people build their own chatbots.

Addresses specific requirement

The bots can be integrated into Slack or Workplace by Facebook and they are built and trained using information in policy documents and by pulling data from various back-end systems like Oracle and SAP.

Company’s other product helped people build their own chatbots and along the way, company discovered while doing their market research a particularly strong need in HR. The company started Leena AI last year to address that specific requirement.

When the team was building bots, they learned through its experience with Chatteron (previous startup) that it’s better to concentrate on a single subject because the underlying machine learning model gets better the more it’s used.

Once you create a bot, for it to really add value and be [extremely] accurate, and for it to really go deep, it takes a lot of time and effort and that can only happen through verticalization said company official.

Similar queries and natural language processing

As the founders have become more knowledgeable about the needs of HR, they have learned that 80 percent of the questions cover similar topics, like vacation, sick time and expense reporting. They have also seen companies using similar back-end systems, so they can now build standard integrators for common applications like SAP, Oracle and NetSuite.

Even though people may ask similar questions, the company may have unique terminology or people may ask the question in an unusual way and that’s where the natural language processing (NLP) comes in. The system can learn these variations over time as they build a larger database of possible queries. The ultimate goal of the company is to help bridge multiple legacy systems to provide answers seamlessly for employees to all their questions.

 

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