Ada Features
What are the features of Ada?
Self-Service Experience
- Knowledge Base
- Searchable Articles
- Community Forums
Responses
- Customization
- Control
- Route To Human
- Menu bars
- Drip sequences
Platform
- Live chat
- Integrations
- Branding
- Analytics
- A/B testing
- Role-based access
- Collection of information
Ada Categories on G2
Filter for Features
Self-Service Experience
Knowledge Base | Provides a repository of information that can be used by those seeking support. 68 reviewers of Ada have provided feedback on this feature. | 86% (Based on 68 reviews) | |
Searchable Articles | Based on 65 Ada reviews. Makes articles in the knowledge base searchable on the web. | 85% (Based on 65 reviews) | |
Community Forums | Enables users to engage with other users to solve common issues. This feature was mentioned in 43 Ada reviews. | 87% (Based on 43 reviews) | |
Mobile Optimization | As reported in 19 Ada reviews. Optimizes the customer self-service experience on mobile devices | 87% (Based on 19 reviews) | |
Personalization | Gives the user targeted, personalized results based on their activity or preferences 24 reviewers of Ada have provided feedback on this feature. | 85% (Based on 24 reviews) |
Self-Service Platform
Branding | Allows users to add custom branding (logos, brand colors, etc.) to self-service portals, chatbots, etc. 23 reviewers of Ada have provided feedback on this feature. | 88% (Based on 23 reviews) | |
Automation | Based on 26 Ada reviews. Automates some or all operation related tasks | 87% (Based on 26 reviews) | |
Artificial Intelligence | As reported in 27 Ada reviews. Utilizes artificial intelligence to improve workflows or customer experiences | 83% (Based on 27 reviews) | |
Integrations | Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools This feature was mentioned in 28 Ada reviews. | 83% (Based on 28 reviews) |
Messenger
Sequencing | Mapped-out responses for conversations. | Not enough data | |
AI | Artificial intelligence (AI) and chatbot involvement. | Not enough data | |
Live Chat | Live human component of conversations. | Not enough data | |
Customization Interface | Quality of interface for designing and customizing conversation maps. | Not enough data |
Channels
Social Media | Conversations enacted over social media. | Not enough data | |
Website | Conversations enacted through embedding or pop-ups on websites. | Not enough data | |
Text Message (SMS) | Conversations enacted through text message (SMS). | Not enough data | |
Voice Assistants | Conversations enacted through voice assistants. | Not enough data | |
Other | Conversations enacted through other channels. | Not enough data |
Customers
Targeting | Overall quality of customer targeting based on needs or situations. | Not enough data | |
Profiles | Creation and modification of customer profiles based on conversations. | Not enough data | |
Analytics | Reporting based around specific and overall conversation results. | Not enough data | |
Lead Gathering | Capture and organization of leads from conversations. | Not enough data | |
Sales Conversion | Success rate of conversations leading to customer purchases. | Not enough data |
Responses
Personalization | As reported in 12 Ada reviews. Provides personalized responses to interlocator based on segmentation or past responses. | 82% (Based on 12 reviews) | |
Route To Human | As reported in 13 Ada reviews. Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had. | 85% (Based on 13 reviews) | |
Natural Language Understanding (NLU) | Can have a natural, human-like conversation with an interlocator. 12 reviewers of Ada have provided feedback on this feature. | 81% (Based on 12 reviews) | |
Customization | Based on 62 Ada reviews. Customize your chat workflows with rules and automations. | 87% (Based on 62 reviews) | |
Control | Control who the chatbot converses with (and when). 56 reviewers of Ada have provided feedback on this feature. | 88% (Based on 56 reviews) | |
Route To Human | Based on 61 Ada reviews. Has the ability to connect interlocator with a human agent when the need arises. | 92% (Based on 61 reviews) | |
Menu bars | Can provide interlocators with menus, through which they can choose a relevant response. 59 reviewers of Ada have provided feedback on this feature. | 88% (Based on 59 reviews) | |
Drip sequences | Can send triggered sequence of automated messages sent on a predefined schedule in a targeted fashion. This feature was mentioned in 49 Ada reviews. | 85% (Based on 49 reviews) |
Platform
Conversation Editor | As reported in 10 Ada reviews. Allows business to edit conversations to meet the unique needs of one's business. | 90% (Based on 10 reviews) | |
Integration | As reported in 12 Ada reviews. Gives users the ability to update systems, like CRM, based on conversations. | 81% (Based on 12 reviews) | |
Human-In-The-Loop | Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants. This feature was mentioned in 10 Ada reviews. | 87% (Based on 10 reviews) | |
Live chat | As reported in 53 Ada reviews. Provide tools for live chat on one's website. | 89% (Based on 53 reviews) | |
Integrations | Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools. 55 reviewers of Ada have provided feedback on this feature. | 84% (Based on 55 reviews) | |
Branding | As reported in 56 Ada reviews. Has the ability to customize look and feel of chatbot to match` company branding. | 86% (Based on 56 reviews) | |
Analytics | Gives user the ability to analyze conversations with the chatbot and see its performance. This feature was mentioned in 61 Ada reviews. | 78% (Based on 61 reviews) | |
A/B testing | As reported in 42 Ada reviews. Allows users to test the efficacy of various responses through A/B testing. | 81% (Based on 42 reviews) | |
Role-based access | As reported in 52 Ada reviews. Allows for varying access to chatbot and admin settings, depending on user, their role, etc. | 86% (Based on 52 reviews) | |
Collection of information | As reported in 59 Ada reviews. Can collect and store information from interlocators, such as email, phone number, etc. | 87% (Based on 59 reviews) |
Conversational Platform
Personalization | Identifies the customer and personalizes interaction at every touchpoint. 16 reviewers of Ada have provided feedback on this feature. | 90% (Based on 16 reviews) | |
Omnichannel | Based on 10 Ada reviews. Allows multiple related channels to interact at once to reduce transfers. | 82% (Based on 10 reviews) | |
Contextual Engagement | Prompts agents to engage customers based on contextual data, such as product usage or conversation history. This feature was mentioned in 12 Ada reviews. | 90% (Based on 12 reviews) | |
Proactive Engagement | Provides features for sending outbound messages to engage customers through proactive support. | Not enough data |
Support Automation
Intelligent Routing | Based on 13 Ada reviews. Can route contacts to agents the customer has worked with before. | 87% (Based on 13 reviews) | |
Seamless Escalation | Provides features for escalating conversations to the appropriate agent. This feature was mentioned in 16 Ada reviews. | 86% (Based on 16 reviews) | |
Transcripts | Maintains a transcript of conversations from all channels. This feature was mentioned in 15 Ada reviews. | 88% (Based on 15 reviews) | |
Self-Serve Support | Enables customers to resolve queries or issues without the assistance of an agent. This feature was mentioned in 16 Ada reviews. | 89% (Based on 16 reviews) |
Customer Support
Text | Is able to process inquiries submitted by text data from live chat, email, or SMS | Not enough data | |
Speech | Comprehends human speech and can transcribe it to text for processing | Not enough data | |
Knowledge Base | The AI is able to access the company's internal knowledge to inform and guide responses to customer inquiries | Not enough data |
Automation
Ticket Resolution | The platform is able to automatically determine how to resolve help tickets without assistance by human agents | Not enough data | |
Customization | The platform's responses to customers can be customized to improve comprehension, relatability, and emotional intelligence | Not enough data | |
Intelligent Routing | When the AI is unable to process a particular type of customer request, it is able to determine which is the best agent to refer the ticket to | Not enough data | |
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 |
Artificial Intelligence
Learning | The AI platform is able to learn over time on how to interpret each type of customer inquiry and improve the quality of their responses | Not enough data | |
Language | Multilingual capabilities allow the AI to process inquiries from many languages | Not enough data | |
Conversational AI | The AI's responses to customer inquiries provide human-like organic conversations. The platform is able to understand a question no matter how it's worded and provide comprehensive answers | Not enough data |
Generative AI
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. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | 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. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |
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 |
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 |
Conversational AI - Conversational Commerce Platforms
AI chatbots | Allow Gen AI powered chatbots to provide intelligent responses and tailored product recommendations. | Not enough data | |
Messaging and Notifications | Trigger messages based on specific customer actions such as personalized messages, promotions or cart abandonment. | Not enough data | |
AI agents | Use Agentic AI to deliver superior customer engagement through human-like conversations. | Not enough data | |
Voice assistants | Allow users to use voice assistants, such as Alexa, Google Assistant, and Siri to shop using voice commands. | Not enough data | |
Communication apps | Enable users to engage in communication apps such WhatsApp, Facebook Messenger, Instagram, WeChat etc. | Not enough data |
Platform integration - Conversational Commerce Platforms
Ecommerce stores | Allow integration with e-commerce stores to import products, manage inventory and get order notifications. | Not enough data | |
Sales channels | Add conversational commerce functionality across various sales channels and customer touchpoints. | Not enough data | |
Payment Platform | Integrate with payment platform for accepting payments from the chat interface | Not enough data | |
Internal tools | Integrate with CRM, POS or any marketing marketing tools for sending discounts, offers, recommendations and personalized campaigns. | Not enough data |
Analytics and Reporting - Conversational Commerce Platforms
Conversational analytics | Provide insights into customer behavior, sales trends, and chatbot performance. | Not enough data | |
Advance reporting | Track KPIs like customer satisfaction, conversion rates, and overall sales driven by conversational channels. | Not enough data |
Agentic AI - Customer Self-Service
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 |
Agentic AI - Conversational Marketing
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 |
