Authors - Salvatore Vella, Fatima Hussain, Salah Sharieh, Alex Ferworn Abstract - Policies and procedures coordinate the work of multiple knowledge workers. These are standardized workflows with specified inputs and outputs. AI agents can automate some or all of the steps in the workflow. The automation will greatly enhance efficiency, minimize human errors, enable the employees to focus on more strategic tasks and provide oversight for these more routine tasks. This paper examines the application of AI agents to understand and automate these workflows. We propose a framework where the policy or procedure is corrected via a large language model and translated to a simplified BPEL (Business Process Execution Language) form for later execution by AI agents. This two-step approach enables the creation of reusable policy and procedure libraries that the AI agents can reuse. We demonstrate that improved policies and procedures can be created from the code. Through case studies, we show the practical benefits in real-world office settings. Integrating AI agents in knowledge work professions is an important research topic; this framework shows how this can be done in a standardized way.We provide the source code and artifacts for these experiments.
Open Zoom
