Employee Resource Center (ERC) Chatbot
Description
Enable self-service for employees seeking information about various employee-related topics.
Detailed example
The NLP algorithm functions by classifying user inputs into predefined topics using advanced natural language processing techniques. It evaluates the input against a set of trained models and assigns a response based on a confidence score calculated by the algorithm. Only responses associated with these pre-established topics are provided, ensuring accuracy and consistency. The algorithm does not generate new or ad-hoc answers outside the defined topics, making it reliable for controlled environments where precision and adherence to predetermined content are critical.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
This chatbot has proven to reduce the reliance on the ERC staff to answer employee inquiries greatly improving ERC operations.
Audit / financial statement impact
The output is not presumed to be high-impact and is not used as the principal basis for significant decisions/actions
Controls / human review
ATO: No; PIA: Not published
Data needed
Transcripts from ongoing operations.