Observe.AI Features
What are the features of Observe.AI?
Call Analytics
- Call Recording
- Machine Learning
- Call Analysis
- Lead Qualification
Agent Performance Management
- Customer Scoring
- Speech-to-Text
- Artificial Intelligence
Quality Assurance
- Evaluation
- Calibration
- Reports
Engagement
- Feedback
- Dashboards
- Training
Performance
- Integrations
- Compliance
Observe.AI Categories on G2
Filter for Features
Call Analytics
Call Recording | See feature definition | Records sales calls and facilitates playback This feature was mentioned in 42 Observe.AI reviews. | 95% (Based on 42 reviews) |
Machine Learning | As reported in 43 Observe.AI reviews. Utilizes machine learning technology to analyze recorded sales calls | 90% (Based on 43 reviews) | |
Call Analysis | Analyzes or facilitates the analysis of recorded and stored sales calls for insight 43 reviewers of Observe.AI have provided feedback on this feature. | 92% (Based on 43 reviews) | |
Lead Qualification | Leverages analytics to qualify and score calls in real time 39 reviewers of Observe.AI have provided feedback on this feature. | 90% (Based on 39 reviews) |
Agent Performance Management
Customer Scoring | Leverages technology to rate or "read" recordings to determine the impact of sales calls 39 reviewers of Observe.AI have provided feedback on this feature. | 93% (Based on 39 reviews) | |
Speech-to-Text | As reported in 41 Observe.AI reviews. Transcribes sales calls from speech to text | 88% (Based on 41 reviews) | |
Artificial Intelligence | Utilizes artificial intelligence technology to discover insights within recorded sales calls 42 reviewers of Observe.AI have provided feedback on this feature. | 92% (Based on 42 reviews) |
Quality Assurance
Evaluation | Provides tools for evaluating customer interactions This feature was mentioned in 141 Observe.AI reviews. | 92% (Based on 141 reviews) | |
Calibration | As reported in 138 Observe.AI reviews. Offers features for maintaining fair and consistent scoring | 90% (Based on 138 reviews) | |
Reports | Based on 132 Observe.AI reviews. Generates quality and performance reports | 88% (Based on 132 reviews) |
Engagement
Feedback | As reported in 142 Observe.AI reviews. Tools for providing personalized feedback and coaching sessions | 91% (Based on 142 reviews) | |
Dashboards | Provides a centralized dashboard for agents to view their scores and feedback 135 reviewers of Observe.AI have provided feedback on this feature. | 91% (Based on 135 reviews) | |
Training | As reported in 131 Observe.AI reviews. Tools for educating and training agents | 88% (Based on 131 reviews) |
Performance
Integrations | Integrates with other customer service or CRM software This feature was mentioned in 124 Observe.AI reviews. | 90% (Based on 124 reviews) | |
Compliance | Helps ensure customer privacy and data protection 132 reviewers of Observe.AI have provided feedback on this feature. | 93% (Based on 132 reviews) |
Responses
Personalization | Provides personalized responses to interlocator based on segmentation or past responses. | Not enough data | |
Route To Human | Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had. | Not enough data | |
Natural Language Understanding (NLU) | Can have a natural, human-like conversation with an interlocator. | Not enough data |
Platform
Conversation Editor | Allows business to edit conversations to meet the unique needs of one's business. | Not enough data | |
Integration | Gives users the ability to update systems, like CRM, based on conversations. | Not enough data | |
Human-In-The-Loop | Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants. | Not enough data |
Generative AI
AI Text Summarization | As reported in 16 Observe.AI reviews. Condenses long documents or text into a brief summary. | 91% (Based on 16 reviews) | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. This feature was mentioned in 26 Observe.AI reviews. | 90% (Based on 26 reviews) | |
AI Text Summarization | Condenses long documents or text into a brief summary. 26 reviewers of Observe.AI have provided feedback on this feature. | 89% (Based on 26 reviews) | |
AI Text Summarization | Condenses long documents or text into a brief summary. 21 reviewers of Observe.AI have provided feedback on this feature. | 87% (Based on 21 reviews) |
Automation - AI Agents
Sales Follow-Up | Allows users to automate responses to customer inquiries across various channels. | Not enough data | |
Customer Interaction Automation | Allows users to automate responses to customer inquiries across various channels. | Not enough data | |
Lead Generation | Allows users to automate the process of generating and qualifying sales leads. | Not enough data | |
Document Processing | Allows users to automate the handling, processing, and management of documents. | Not enough data | |
Feedback Collection | Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders. | Not enough data |
Autonomy - AI Agents
Independent Decision Making | Allows the AI agent to learn from interactions and adapt its responses accordingly. | Not enough data | |
Adaptive Responses | Allows the AI agent to learn from interactions and adapt its responses accordingly. | Not enough data | |
Task Execution | Provides the AI agent the ability to execute tasks without requiring constant user input. | Not enough data | |
Problem Solving | Allows the AI agent to identify and resolve issues without user intervention. | Not enough data |
Automation
Customer Interaction Automation | Allows users to automate responses to customer inquiries across various channels. | Not enough data | |
Feedback Collection | Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders. | Not enough data | |
Document Processing | Allows users to automate the handling, processing, and management of documents. | Not enough data |
Autonomy
Independent Decision Making | Allows the AI agent to learn from interactions and adapt its responses accordingly. | Not enough data | |
Adaptive Responses | Allows the AI agent to learn from interactions and adapt its responses accordingly. | Not enough data | |
Task Execution | Provides the AI agent the ability to execute tasks without requiring constant user input. | Not enough data | |
Problem Solving | Allows the AI agent to identify and resolve issues without user intervention. | Not enough data |
Customer Query Resolution - AI Customer Support Agents
Automated Ticket Resolution | Allows the AI agent to autonomously resolve customer queries without human intervention. | Not enough data | |
Contextual Response Generation | Enables the AI agent to provide accurate answers based on the context of customer inquiries. | Not enough data | |
Sentiment Analysis | Allows the AI agent to analyze customer sentiment and adjust responses accordingly. | Not enough data | |
Knowledge Base Utilization | Enables the AI agent to retrieve information from a knowledge base to assist with query resolution. | Not enough data | |
Multilingual Support | Provides users the ability to interact with the AI agent in multiple languages for global support. | Not enough data |
Customer Interaction Automation - AI Customer Support Agents
Proactive Customer Outreach | Enables the AI agent to initiate interactions, such as reminders or follow-ups, with customers. | Not enough data | |
Feedback Collection | Provides users the ability to automate gathering and analyzing customer feedback after interactions. | Not enough data | |
Escalation Handling | Allows the AI agent to identify when issues require human intervention and escalate them appropriately. | Not enough data | |
Workflow Optimization | Enables the AI agent to streamline repetitive customer service tasks, improving efficiency and response times. | Not enough data |
Agentic AI - Conversation Intelligence
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
