Fin by Intercom Features

Allows software to be easily used on multiple mobile devices include phone and tablet devices.

Allows users to customize chat colors, text, logos, and branding.

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Integrates with other customer service software to improve support and enhance functionality

Provides analytics tools that reveal important business metrics and track progress

Displays important metrics relating to performance

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.

Provide tools for live chat on one's website.

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.

Gives user the ability to analyze conversations with the chatbot and see its performance.

Allows users to test the efficacy of various responses through A/B testing.

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.

User Experience of creating and submitting a ticket

User Experience of responding and receiving a response

Route tickets based on values of fields, changes to ticket status and time based conditions

Respond to common requests with standard reply

Offers tools for managing and tracking service-level agreements (SLAs)

Documents and files can be attached to the ticket to communicate with customer issues/resolutions

Share and collaborate on tickets with multiple customer service representatives

Central repository for account and contact information

Allows fully customizable portal for customer to enter tickets, provide feedback and communicate with service agents

Ability for customer service agents to communicate via email and email conversations are automatically tracked in ticket

Ability for customer service agents to communicate with customers via live chat to solve problems live

Integration to social networks such as Twitter and Facebook to allow customers and agents to communicate via social networks

Make and receive calls directly in the application. Track and record calls for analysis.

Provides a repository of information that can be used by those seeking support.

Makes articles in the knowledge base searchable on the web.

Optimizes the customer self-service experience on mobile devices

Gives the user targeted, personalized results based on their activity or preferences

Allows users to add custom branding (logos, brand colors, etc.) to self-service portals, chatbots, etc.

Automates some or all operation related tasks

Utilizes artificial intelligence to improve workflows or customer experiences

Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools

Enables a popup chat window on company websites to encourage interaction between website visitors and designated company representatives.

Delivers notifications to both sides of the conversation.

Sends automated emails to further engage clients and potential clients.

Allows for live chat to be enabled within the app for customer help.

Allows agents to join a customer's browser session and navigate through the website with them.

Allows users to customize chat colors, text, logos, and branding.

Archives conversations in a separate location for later reference.

Enables employees to denote potential customers.

Establishes a knowledge base for employee reference during conversations.

Provides a central location for help requests, helping employees respond sooner.

Allows for the creation of profiles for contacts and customers.

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.

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.

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 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.

Supports multiple languages.

Provides responses based on user behavior and feedback.

Supports audio and video-based walkthroughs.

Supports text bubble walkthroughs.

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.

Allows users to leave notes or comments on emails or relevant cases.

Provides a dedicated space or a thread feature that allows for long-form discussion.

Offer in-application assignment and task tracking functionality.

Allows users to create and follow predetermined workflows attached to actions.

Allows users to create canned answers or templates for email responses.

Integrates without outside software to provide additional functionality or pull information.

Provides a tagging system to allow users to sort emails by relevant subject.

Analyzes trends in email content and resolution.

Tracks performance and productivity of users inside the application.

Tracks email analytics like emails opened, how long the email was opened for, etc.

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.

Customize your chat workflows with rules and automations.

Control who the chatbot converses with (and when).

Has the ability to connect interlocator with a human agent when the need arises.

Can provide interlocators with menus, through which they can choose a relevant response.

Can send triggered sequence of automated messages sent on a predefined schedule in a targeted fashion.

Identifies the customer and personalizes interaction at every touchpoint.

Allows multiple related channels to interact at once to reduce transfers.

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.

Can route contacts to agents the customer has worked with before.

Provides features for escalating conversations to the appropriate agent.

Maintains a transcript of conversations from all channels.

Enables customers to resolve queries or issues without the assistance of an agent.

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.

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

Condenses long documents or text into a brief summary.

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.

Condenses long documents or text into a brief summary.

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 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.

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

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

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

Capability to perform complex tasks without constant human input

Makes informed choices based on available data and objectives

Retrieves information from integrated enterprise systems in response to conversational queries

Identifies user intent and maps requests to predefined system actions, queries, or workflows

Initiates tasks, processes, or system workflows based on interpreted user requests

Interprets user requests expressed in natural language to identify intent and relevant entities

Maintains dialogue continuity across multiple messages to support contextual back-and-forth interactions

Enables users to interact with agents through chat, messaging platforms, or voice commands

Maintains contextual information across interactions to support coherent multi-turn conversations

Adjusts responses and available actions based on the user’s identity, role, and system permissions

Connects conversational agents with enterprise systems such as CRM, ERP, ITSM, or collaboration tools

Enforces authentication, authorization, and governance policies for conversational interactions