RAG Agent
A new and improved RAG agent with enhanced search and retrieval capable of handling more complex and conversational FAQs. Here too, the Agent is capable of asking clarifying questions to improve its search query and get a more accurate response. The RAG Agent also handles more context by parsing more results so we expect it to improve our answer rates as well! Think of this agent like a librarian that looks up information in the database and gets you the relevant resources.
Task Identification Agent
The agent that interacts with users and other agents in the system to help resolve queries. Instead of predicting a user’s intent based off of a single message - this agent can hold a conversation, can disambiguate and ask clarifying questions until it reaches a conclusion. This agent also handles all “Small talk” interaction and generally allows us to handle conversations more gracefully end to end. This is the receptionist that makes sure you know what you need and sends you to the right place.
Procedure Compilation Agent
The core AI method which takes the user description (policy) as input and generates a new structured version of the Procedure - to be used both by the PEA but also an easier way for users to review their procedures in a visual way. This can be thought of as your architect. You tell them what kind of structure you want and they design it, put it into a visual structure that can be followed by others.
Procedure Execution Agent
This agent can execute generative procedures and adapt those to real-time conversations rather than follow scripted dialogues. This agent will also invoke CRM Actions and API integrations. You could consider this agent to be your cook - someone else has figured out the details of the recipe and the cooking agent will execute. They are repsosnible of seeing the job done and putting resources as needed. However they also have the autonomy to make changes on the fly based on the information they receive.
