Virtual Assistant Apps to Create AI-based Virtual Assistant

Intuitive apps that help you to create Industry leading Intelligent Virtual Assistants

Five Stages in the creation of an
AI Assistant

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

Collaborative

For experience specialists and developers to build and train AI assistants for multiple channels and languages.

Pre-built Intelligence

Import existing packages from our package library for ready intelligence and domain understanding.

Always Learning

Easily add trigger phrases or training data by using our advanced text editor with Intellisense.

Customizable

Create using experience models to build and manage complex conversational flows to provide rich actionable responses to user queries.

Powerful Inference
& Reasoning

Knowledge graphs are used for efficient data representation, retrieval, power inference, reasoning and recommendations.

Intuitive User
Interface

Easily build and visualize using our intuitive user i nterface.ai that helps build assistants fast.

Contextual
FAQs

Define contextual FAQs with respect to entities, experiences, packages and Custom tags.

Developer
Friendly

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.

Deploy and integrate assistant

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

Measure assistant's performance

Advisory App provides real time insights and dashboards on the assistant’s performance to enable better decision making.

Centralized
Dashboard

Real-time data, visualizations and actionable insights for enterprises to continuously measure, analyze, and refine the assistant.

Real-time Actionable
Insights

To make data-driven decisions for improving the performance of the AI assistant.

Conversational
Analytics

For a deeper understanding of the customer behavior, popular intents, channel-specific usage and other business metrics.

Training
Analytics

Get insights into training data performance & take targeted actions with Live tips on how to improve bot performance.

Assistance Performance Testing

Refine with Assistant Performance Test

Assistant Performance Test (APT) helps you improve your assistant by continuous human assisted learning. Helps with annotation of conversations for improving assistant’s performance.

Centralized
Dashboard

Learning models for clustering unmatched or unhandled queries based on closely matched experience to power efficient and faster training.

Machine Learning
Models

To suggest new experiences to developers and append AI assistant functionality based on the user interest.

Test and
Evaluate

After refining, run the regression test suite to ensure correctness and introduce new improved metrics.

Agency

Switch to customer care

Agency App lets you switch to customer care by providing human assistance when required by the end users.

Live Agent
Support

To help connect to human agents for further assistance beyond the AI assistant.

Sentiment and
Tone Aware

The Assistant can route conversations to Customer Support Agents.

Taggers


Allows developers to configure a Tagger in a live conversation and assist with query understanding.

Automatic Routing


After configuration, route to the right escalation channel based on various parameters and historical data.