Observe.AI Features

Records sales calls and facilitates playback

Utilizes machine learning technology to analyze recorded sales calls

Analyzes or facilitates the analysis of recorded and stored sales calls for insight

Leverages analytics to qualify and score calls in real time

Leverages technology to rate or "read" recordings to determine the impact of sales calls

Transcribes sales calls from speech to text

Utilizes artifical intelligence to analyze emotional tone and interactions in a conversation

Provides tools for evaluating customer interactions

Offers features for maintaining fair and consistent scoring

Generates quality and performance reports

Tools for providing personalized feedback and coaching sessions

Provides a centralized dashboard for agents to view their scores and feedback

Tools for educating and training agents

Integrates with other customer service or CRM software

Helps ensure customer privacy and data protection

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.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Condenses long documents or text into a brief summary.

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.

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.

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

Analyze 100% of live AI conversations in real-time to monitor for immediate failures.

Track AI accuracy, intent recognition, safety, and hallucinations against defined rules.

Use simulated user interactions to find model edge cases and stress test performance.

Ensure the model understands the nature of the customer request and inquiry so that it can respond as accurately as possible

Diagnose the source of failures, distinguishing between model errors and technical issues.

Report on AI-specific KPIs, conversation themes, and business outcomes like containment rate.

Assess the quality and stability of the underlying communication channels, such as phone networks.