Ada Features

As reported in 75 Ada reviews. Provides a repository of information that can be used by those seeking support.

Based on 72 Ada reviews. Makes articles in the knowledge base searchable on the web.

As reported in 50 Ada reviews. Enables users to engage with other users to solve common issues.

Optimizes the customer self-service experience on mobile devices 26 reviewers of Ada have provided feedback on this feature.

Based on 31 Ada reviews. Gives the user targeted, personalized results based on their activity or preferences

As reported in 30 Ada reviews. Allows users to add custom branding (logos, brand colors, etc.) to self-service portals, chatbots, etc.

As reported in 33 Ada reviews. Automates some or all operation related tasks

Based on 34 Ada reviews. Utilizes artificial intelligence to improve workflows or customer experiences

Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools This feature was mentioned in 35 Ada reviews.

Scours various channels for brand mentions to proactively seek reparative communications.

Creates and assigns support tickets, scheduling them in a timely manner.

Allows administrators to create templated responses to frequently asked questions.

Ability to connect agents with customers through Live Chat.

Connects employees with customers through a social media solution.

Ability to connect agents with customers through email.

Connects employees with customers through a calling solution.

Ability to connect agents with customers through text message solution.

Conversations enacted over social media.

Conversations enacted through embedding or pop-ups on websites.

Conversations enacted through text message (SMS).

Conversations enacted through voice assistants.

Conversations enacted through other channels.

Software incorporates multiple digital communications channels.

Allows incorporation of inbound contacts from non-marketing channels.

Includes physical media (mail, flyers, billboards, etc.) in the channels mix.

Provides opportunity for customers to give feedback through a survey.

Enables administrators to create customized reports reflecting customer satisfaction.

Allows administrators to track visitor activity to understand the research that was done before turning to customer service.

Provides a knowledge base or other support channel for disparate team members to work together and provide cohesive solutions.

Uses LLMs to generate dynamic responses within defined boundaries and business-safe content rules.

Maintains context across user turns in a single session to provide coherent, relevant responses.

Understands varied user phrasing and infers intent without relying solely on keywords or scripts.

Supports building conversational flows using predefined paths, rules, and decision trees.

Provides fallback messages or guidance when the bot cannot understand or fulfill a query.

Mapped-out responses for conversations.

Artificial intelligence (AI) and chatbot involvement.

Live human component of conversations.

Quality of interface for designing and customizing conversation maps.

Overall quality of customer targeting based on needs or situations.

Creation and modification of customer profiles based on conversations.

Reporting based around specific and overall conversation results.

Capture and organization of leads from conversations.

Success rate of conversations leading to customer purchases.

Allows planning and deployment of an overall communications strategy.

Includes or integrates with content creation apps.

Outbound communications are segmented and personalized.

Inbound contacts are identified and handled based on history.

Software verifies compliance with GDPR, CAN-SPAM, and other legal requirements.

Provides API access to connect with proprietary business systems or internal data sources.

Offers embeddable widgets or SDKs for integration into websites, apps, or third-party tools.

Allows non-developers to configure and design chatbot flows via visual or no-code interfaces.

Provides personalized responses to interlocator based on segmentation or past responses. 12 reviewers of Ada have provided feedback on this feature.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had. This feature was mentioned in 13 Ada reviews.

Based on 12 Ada reviews. Can have a natural, human-like conversation with an interlocator.

Customize your chat workflows with rules and automations. 69 reviewers of Ada have provided feedback on this feature.

Based on 63 Ada reviews. Control who the chatbot converses with (and when).

Has the ability to connect interlocator with a human agent when the need arises. 68 reviewers of Ada have provided feedback on this feature.

Can provide interlocators with menus, through which they can choose a relevant response. This feature was mentioned in 66 Ada reviews.

Can send triggered sequence of automated messages sent on a predefined schedule in a targeted fashion. 56 reviewers of Ada have provided feedback on this feature.

Based on 10 Ada reviews. 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. This feature was mentioned in 12 Ada reviews.

As reported in 10 Ada reviews. Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

Provide tools for live chat on one's website. This feature was mentioned in 60 Ada reviews.

As reported in 62 Ada reviews. Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools.

Has the ability to customize look and feel of chatbot to match` company branding. 63 reviewers of Ada have provided feedback on this feature.

As reported in 68 Ada reviews. Gives user the ability to analyze conversations with the chatbot and see its performance.

Based on 49 Ada reviews. Allows users to test the efficacy of various responses through A/B testing.

Based on 59 Ada reviews. Allows for varying access to chatbot and admin settings, depending on user, their role, etc.

Can collect and store information from interlocators, such as email, phone number, etc. This feature was mentioned in 66 Ada reviews.

Can support effective translation for a wide variety of languages, even uncommon ones.

Quality control is performed by post-editing or by using a glossary.

Translation support is provided with near real-time responses during customer engagement.

Uses machine translation technologies to provide translation support.

Continuously refines and improves translation support methods.

The translation engine is able to provide translation support to a large volume of translation requests.

As reported in 18 Ada reviews. Identifies the customer and personalizes interaction at every touchpoint.

Allows multiple related channels to interact at once to reduce transfers. 12 reviewers of Ada have provided feedback on this feature.

As reported in 14 Ada reviews. Prompts agents to engage customers based on contextual data, such as product usage or conversation history.

Provides features for sending outbound messages to engage customers through proactive support. 11 reviewers of Ada have provided feedback on this feature.

Can route contacts to agents the customer has worked with before. 15 reviewers of Ada have provided feedback on this feature.

As reported in 18 Ada reviews. Provides features for escalating conversations to the appropriate agent.

Based on 17 Ada reviews. Maintains a transcript of conversations from all channels.

Enables customers to resolve queries or issues without the assistance of an agent. 18 reviewers of Ada have provided feedback on this feature.

All messages are either immediately deleted, or held in a secure location following regulations.

Provides translation across all support channels like chat, ticketing, email, etc.

Communication security meets HIPAA, GDPR, and CCPA regulatory standards.

Customer's anonymity is maintained.

Is able to process inquiries submitted by text data from live chat, email, or SMS

Comprehends human speech and can transcribe it to text for processing

The AI is able to access the company's internal knowledge to inform and guide responses to customer inquiries

The platform is able to automatically determine how to resolve help tickets without assistance by human agents

The platform's responses to customers can be customized to improve comprehension, relatability, and emotional intelligence

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

Allows users to automate responses to customer inquiries across various channels. 10 reviewers of Ada have provided feedback on this feature.

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.

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

Multilingual capabilities allow the AI to process inquiries from many languages

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

Ensures consistent performance, delivering reliable outputs based on user prompts.

Implements stringent measures to protect user data and ensure privacy.

Shows adeptness in comprehending and responding to complex or multi-part queries.

Facilitates natural and human-like conversations, delivering engaging interaction experiences.

Demonstrates a sophisticated understanding of both written and spoken user commands.

Exhibits proficiency in maintaining and utilizing context throughout a conversation.

Offers a high degree of customization to meet individual user or business requirements.

Features robust learning mechanisms, improving responses over time based on past user interactions.

Showcases the ability to recognize, correct, and learn from its own mistakes.

Displays creativity in generating diverse, interesting, and contextually relevant responses.

Produces content that is accurate, factually correct, and relevant to the user's query.

Evaluates the chatbot's ability to provide flexible APIs for custom integrations and functionality expansions.

Regularly receives updates that contribute to continuous improvement of the product.

Assesses the chatbot's ability to function seamlessly across various platforms and devices.

Seamlessly integrates with other platforms or software systems, enhancing overall utility.

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.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Simulates human-like speech from text inputs.

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.

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.

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 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.

As reported in 10 Ada reviews. Enables the AI agent to streamline repetitive customer service tasks, improving efficiency and response times.

Helps in understanding different accents, dialects, and speech patterns.

Helps to generate human-like speech responses.

Provides customizable speech speed and intonation.

Provides multiple voice options like gender, tone and style.

Allows communications to be secure and authenticated.

Aids in syncing with multiple devices.

Allow Gen AI powered chatbots to provide intelligent responses and tailored product recommendations.

Trigger messages based on specific customer actions such as personalized messages, promotions or cart abandonment.

Use Agentic AI to deliver superior customer engagement through human-like conversations.

Allow users to use voice assistants, such as Alexa, Google Assistant, and Siri to shop using voice commands.

Enable users to engage in communication apps such WhatsApp, Facebook Messenger, Instagram, WeChat etc.

Allow integration with e-commerce stores to import products, manage inventory and get order notifications.

Add conversational commerce functionality across various sales channels and customer touchpoints.

Integrate with payment platform for accepting payments from the chat interface

Integrate with CRM, POS or any marketing marketing tools for sending discounts, offers, recommendations and personalized campaigns.

Provide insights into customer behavior, sales trends, and chatbot performance.

Track KPIs like customer satisfaction, conversion rates, and overall sales driven by conversational channels.

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

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

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

Enables tuning or updating chatbot behavior based on user feedback or admin input (non-live learning).

Includes safeguards to restrict inappropriate responses and ensure compliant language use.