Using Generative Artificial Intelligence Systems To Create And Configure Policies In Enterprise Systems With Natural Language

A method comprising:

• receiving a natural language query defining a policy for a workflow;
• retrieving supplementary information relevant to at least one of the workflow and the natural language query, the supplementary information including at least one code fragment;
• and
• building an input prompt for a large language model, the input prompt including the natural language query and the supplementary information, the input prompt directing the large language model to generate, based at least in part on the at least one code fragment, code that is executable to implement the policy for the workflow.

A system comprising:

• one or more hardware processors;
• one or more non-transitory computer-readable media storing instructions that, when executed by the one or more hardware processors, cause the system to perform operations comprising:
• receiving a natural language query defining a policy for a workflow;
• retrieving supplementary information relevant to at least one of the workflow and the natural language query, the supplementary information including at least one code fragment;
• and
• building an input prompt for a large language model, the input prompt including the natural language query and the supplementary information, the input prompt directing the large language model to generate, based at least in part on the at least one code fragment, code that is executable to implement the policy for the workflow.