How Dialog Studio works
Explore the power and versatility of NLX's Dialog Studio with your existing tech stack
Last updated
Explore the power and versatility of NLX's Dialog Studio with your existing tech stack
Last updated
Whether deploying an AI assistant through a voice or chat channel, offering enhanced multimodal interactions, or incorporating your knowledge base, Dialog Studio allows you to construct and deploy the most robust AI assistants with its advanced conversational AI builder.
Bots: Stores and manages your AI assistants that can be organized by line of business, user group, production environment, channel type, or whatever makes sense for you
Conversation management: The design and construction of conversation workflows that your AI assistant follows when automating tasks or handling responses. This includes training data to help educate your AI assistant on which workflow to trigger when a user provides a query (utterance)
Integrations management: Exposes the endpoints for you to integrate AI model services (NLP, LLM), communication channels (web, WhatsApp, Amazon Connect), as well as your own systems of record to retrieve or send data during conversations
Knowledge management: Exposes the endpoint for you to integrate your knowledge base and allows you to construct and manage all LLM prompts when retrieving data
i18n management: Allows you to specify the languages your AI assistant supports and manage and store all translations (manual and auto-translation options available)
Insights & analytics: Real-time analytics with dozen of stored metrics to yield thousands of data points in custom dashboards. In-flow analytics also available to demonstrate traffic data happening within each conversation workflow
Alerts: Easily monitor key metrics by setting up custom alerts to notify you of critical activity
Conversation history: Stores and provides complete transcripts of all conversations occurring between users and your AI assistants
Roles & permissions: Provides advanced access control for you and your team within the platform
To help provide access to what your AI assistant needs when servicing users, Dialog Studio's NLU manages the interactions happening between your frontend interface, cloud-based or on-premise backend systems, and preferred NLP, LLM, and CCaaS services.
The Dialog Studio NLU works by
sending and receiving data from a frontend channel (where users converse with your AI assistant)
sending or retrieving data from a backend system through an API
storing all logic, messaging, and AI prompts that construct your AI assistant into a single package (or build) for deployment
As all conversations are comprised of turns between participants, the Dialog Studio NLU also keeps track of turns taken in an exchange between your users and your AI assistant (conversation state) . This includes where in the conversation a participant is and whose turn.
By managing and storing conversation state, the Dialog Studio NLU not only keeps the conversation operational, but it relays this valuable information when providing full conversation transcripts, troubleshooting conversations, and detailing hundreds of data points for advanced analytics.
