Supervity Features

Allows you to deploy NPS surveys to users.

Analyzes user survey responses and information in the application.

Organizes users into predefined groups and provides different responses based on group.

Provides responses based on user behavior and feedback.

Supports text bubble walkthroughs.

Provides a visual editor to easily create automation models.

Offers the ability to record processes performed by humans to be recreated by bots.

Provides templates for workflows and processes for easier automation creation.

Allows developers to code custom automations.

Offers users the ability to reuse process automations and communicate with other team members around automation building.

Allows non-technical users to create bots in an easy, intuitive manner.

Equips administrators with the ability to schedule bot deployments in advance or on a consistent, regulated cadence.

Automates processes that supplement human action, often requiring human intervention and collaboration.

Automates processes completely without the need for human intervention.

Allows users to analyze the performance of bots via dashboards.

Insures data remains secure and compliant with industry standards.

Able to support large deployments.

Provides OCR capabilities in order to recognize text in documents and applications.

Allows for intelligent automation whereby the bot can imitate human behavior by learning from behavioral patterns.

Provides NLP capabilities in order to understand text in documents and applications.

Provides personalized responses to interlocator based on segmentation or past responses.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Can have a natural, human-like conversation with an interlocator.

Allows business to edit conversations to meet the unique needs of one's business.

Gives users the ability to update systems, like CRM, based on conversations.

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

Supports configuration using natural language instructions.

Allows users to customize the tone of agent.

Enables definition of clear security guardrails for agent actions.

Provides support across web, mobile, messaging apps, and other channels.

Allows customization of agent branding, including visual appearance and conversational style.

Equips agents with proactive response capabilities based on predefined triggers.

Facilitates seamless escalation to human employees for complex issues.

Provides analytics and reporting on agent performance and interactions.

Offers agents the ability to maintain contextual awareness across interactions.

Ensures compliance with data privacy and governance requirements.

Automates workflows and actions based on agent responses.

Allows the use of APIs for advanced agent configuration.

Enables interoperability with multiple platforms for unified experiences.

Allows integration with CRM data to ground agent responses in business context.

Allows users to automate responses to customer inquiries across various channels.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows users to automate the handling, processing, and management of documents.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

Enables integration with web-based software, websites, or other software applications.

Provides cued prompts, messages, tooltips, notifications and branded tutorials.

Manages user interactions and analyzes user behavior data within the software or application.

Supports self-service features like troubleshooting, form completion, or knowledge base access.

Provides in-app guidance on company-specific tools and workflows for onboarding.

Allows the AI agent to autonomously resolve customer queries without human intervention.

Enables the AI agent to provide accurate answers based on the context of customer inquiries.

Allows the AI agent to analyze customer sentiment and adjust responses accordingly.

Enables the AI agent to retrieve information from a knowledge base to assist with query resolution.

Provides users the ability to interact with the AI agent in multiple languages for global support.

Enables the AI agent to initiate interactions, such as reminders or follow-ups, with customers.

Provides users the ability to automate gathering and analyzing customer feedback after interactions.

Allows the AI agent to identify when issues require human intervention and escalate them appropriately.

Enables the AI agent to streamline repetitive customer service tasks, improving efficiency and response times.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Improves performance based on feedback and experience