Academy
Develop context-aware conversations with minimal effort
Academy App within the interface.ai platform helps you create and manage the knowledge base that assistants leverage to converse with end users
Academy App within the interface.ai platform helps you create and manage the knowledge base that assistants leverage to converse with end users
For experience specialists and developers to build and train AI assistants for multiple channels and languages.
Import existing packages from our package library for ready intelligence and domain understanding.
Easily add trigger phrases or training data by using our advanced text editor with Intellisense.
Create using experience models to build and manage complex conversational flows to provide rich actionable responses to user queries.
Knowledge graphs are used for efficient data representation, retrieval, power inference, reasoning and recommendations.
Easily build and visualize using our intuitive user interface.ai that helps build assistants fast.
Define contextual FAQs with respect to entities, experiences, packages and Custom tags.
Code snippets that can be reused that are part of the packages such as business rules and validations that can be coded through the UI.
Integrate with existing systems of record such as pre-built enterprise connectors to popular enterprise connectors to popular enterprise applications like CRM, ERP to deploy on premise or cloud.
Advisory App provides real time insights and dashboards on the assistant’s performance to enable better decision making.
Real-time data, visualizations and actionable insights for enterprises to continuously measure, analyze, and refine the assistant.
To make data-driven decisions for improving the performance of the AI assistant.
For a deeper understanding of the customer behavior, popular intents, channel-specific usage and other business metrics.
Get insights into training data performance & take targeted actions with Live tips on how to improve bot performance.
Assistant Performance Test (APT) helps you improve your assistant by continuous human assisted learning. Helps with annotation of conversations for improving assistant’s performance.
Learning models for clustering unmatched or unhandled queries based on closely matched experience to power efficient and faster training.
To suggest new experiences to developers and append AI assistant functionality based on the user interest.
After refining, run the regression test suite to ensure correctness and introduce new improved metrics.
Agency App lets you switch to customer care by providing human assistance when required by the end users.
To help connect to human agents for further assistance beyond the AI assistant.
The Assistant can route conversations to Customer Support Agents.
Allows developers to
configure a Tagger in a live
conversation and assist with
query understanding.
After configuration, route
to the right escalation
channel based on various
parameters and historical data.