Use case.
Internal Handbook Assistant.
Struggling to locate specific policies or procedures within your company's extensive internal handbook? This assistant streamlines the search process, delivering quick and precise answers to all your handbook-related questions.
Easily accessible internal information
Improved accessibility of company information
Improved accuracy to minimize misunderstandings
Increase user engagement
What you previously had to do.
Manual searching for the right location of information.
Required to potentially understand and interpret complex topics or processes.
Asking for assistance would still require manual effort.
What this task now looks like.
Type questions and receive instant answers, removing the need for manual search.
Enable the assistant to clarify or simply more complex topics in the language of the users.
Use the assistant as a central, organized directory for company information.
You can choose from various LLMs.
For this use case, we recommend Azure GPT-3.5.
Struggling to locate specific policies or procedures within your company's extensive internal handbook? This assistant streamlines the search process, delivering quick and precise answers to all your handbook-related questions.
Train from different data sources.
Data examples.
You can train your Generative AI assistant from different data sources. Here are some examples.
Company Policies and Guidelines
Contains all internal rules, procedures, and ethics guidelines, aiding in general compliance and behavior. In formats such as PDFs and text documents.
Training Material and Resources
Offers learning content for onboarding and ongoing education, supporting employee growth and alignment with company standards. In formats such as PDFs and text documents.
Knowledge Base and FAQs
Centralizes common queries and solutions, facilitating quicker resolutions and consistent information sharing. In formats such as PDFs, text documents or website pages.
This might also be relevant for you.
Further resources
We have collected a list of resources that might be helpful for you to learn more about this use case.