OpenDialog's AI Agent Management System provides complete control of your AI agents, with a suite of flexible features and integrations built to reduce costs and enhance conversational quality.
Add structure by evaluating and categorising each input and log each decision in an auditable database.
You are in control
Decide which user inputs are responded to by LLMs, which get routed to your integrated system or knowledge base, and what triggers a response.
No harmful inaccurate output
OpenDialog empowers you to ensure contextual input devoid of any nonessential information and reasons over inputs and outputs.
Protects sensitive data
Robust privacy safeguards protect customer data with tight encryption, secure data storage, and access controls.
Feature highlights
Understanding what users say
Semantic Classification
Intent interpretation through semantic classification enables you to set up a semantic hierarchy and use instructions in natural language to classify user queries.
Leveraging GenAI to reason and act
LLM Actions
LLM Actions enable you to use LLMs to perform reasoning, generate text and feed that information back into your scenario in order to influence the next steps of the conversation.
Sourcing from relevant knowledge
Retrieval Augmented Generation
RAG services allow you to upload & manage your own documents, data and information, vectorise it, and query it via tailored prompting to generate contextually relevant responses to user queries.
Connect GenAI to Your Systems
Webhook actions
Send and receive attributes to and from a webhook URL. Make use of a number of different attribute types with more than just key:value pairs.