Breakout Features

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

Makes articles in the knowledge base searchable on the web.

Enables users to engage with other users to solve common issues.

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.

Notifications that are delivered to users as soon as an event occurs

Engage in direct, instant messaging with consumers

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.

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.

Chat with your counterparts over the video in real time

Quality of interface for designing and customizing conversation maps.

Use AI to generate content in the form of text, images, videos, etc.

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

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.

Coordinate marketing efforts across channels (email, landing pages, social media, etc.)

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

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.

View and track pertinent metrics to find patterns and gain insights from data

Offers a chatbot to initiate and carryout inital conversations with prospects and leads.

Automatically calculates which leads are the most likely to become a customer.

Automatically contacts all leads.

Utilizes natural language processing to set up meetings.

Manages sales opportunities through their full lifecycle from lead to order, tracking stages, values, and close probabilities across pipelines by individual rep, team, region, and company-wide

Automates the entry of collected data.

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.

Set up connections to third-party platforms to improve business processes

Manage the process of planning and scheduling meetings, including agenda creation

Track and manage schedules and meetings via an integrated calendar

Store, manage, and track all electronic documents in a centralized location

Manage, organize, and store contact information

Create, manage and track all task activities and progression

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Allow users to create, edit, and sort multiple notes

Define, track, and/or automate sales activities and sales processes

Manage, store and organize emails within the system or via third-party apps

Provides real-time coaching to sales representatives.

Tracks and analyzes sales representative performance.

Track delivered, received, and opened emails

Process to identify source of incoming calls, date, time, duration or caller type using a unique phone number

Provides detailed contact-level buyer intent data

Provides aggregated intent data for individual contacts to supply an account-level view of intent

Ability to connect offline databases to collect information that can be matched to online devices

Receive data and information in real time

Data results that indicate future customer interest in products

Set up connections to third-party platforms to improve business processes

Provides the ability to customize the relevant topics that are tracked

Provides natural language processing (NLP) to identify topics within content (i.e. number of people researching a topic from a business)

Provides buyer intent alerts that can be delivered in a variety of formats (i.e. email, text message, etc.)

Ability to provide a dashboard showcasing intent that streams in real-time (as opposed to bulk deliveries)

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.

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.

Manage and support multiple languages

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.

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.

Editing tool that allows users to drag and drop images, icons, widgets, or other components

Agents pause for human input at key steps and hand off tasks when beyond their confidence or authority.

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.

Analyze data and automatically generate insights using AI/ML technologies

Copy on the page or chat window encouraging the user to engage with the chat option

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.

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

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

Manage inventory, communication, marketing, orders & more across warehouses, stores and online channels

Manage and track all internal and external communication conducted via calls, email, text, or chat

Create, design and manage workflows for repetitive tasks

Manage, store and organize emails within the system or via third-party apps

Manage a repository of information that includes articles, FAQs, or tutorials used for self-service support

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.

Set up connections to third-party platforms to improve business processes

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

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.

Use AI to generate content in the form of text, images, videos, etc.

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.

Use AI to generate content in the form of text, images, videos, etc.

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.

Process and analyze human language in text or audio form

Generative AI can generate synthetic data and simulate scenarios for training and testing purposes.

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 sales leads 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 users to automate the process of generating and qualifying sales leads.

Allows users to automate responses to customer inquiries across various channels.

Allows the AI agent to identify and resolve issues without user intervention.

Provides the AI agent the ability to execute tasks without requiring constant user input.

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.

Allows the AI agent to schedule and automate follow-ups based on prospect engagement.

Provides users the ability to prioritize outreach efforts based on lead scoring or engagement metrics.

Enables the AI agent to automate outreach across multiple channels, such as email, SMS, and social media.

Allows the AI agent to tailor outreach messages based on customer profiles or past interactions.

Allows users to track and analyze the effectiveness of automated outbound campaigns.

Allows the AI agent to enhance inbound lead profiles by gathering additional information from external sources.

Allows the AI agent to route inbound inquiries to the appropriate team or individual based on context.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Enables the AI agent to respond instantly to inbound inquiries, improving response times.

Enables the AI agent to assess inbound leads and determine their sales readiness.

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

Software program that continuously adjusts its behavior based on observed data

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

Set up connections to third-party platforms to improve business processes

Manage and support multiple languages

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.

Train your system to interpret and transcribe voice messages

Initiate interactions with customers by proactively starting conversations or providing informational content

Assembly of graphs and charts for visualizing and tracking statistics/metrics

Communicate using direct chat or messages within the system

Generates and edits text using machine learning

Caters to sales teams

Automate processes to manage leads, contacts, opportunities and sales activities

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Predict future data based on historical data sets

Score a lead based on quality or likelihood to buy/convert based on predetermined criteria

Sample files or documents that could be customized as needed or used as is

Timed notification for any upcoming task, deadline, appointment, or activity

Pre-made examples and templates for emails

Send messages via SMS

Adjust communications based on previous interactions or personal preferences

View and track pertinent metrics to find patterns and gain insights from data

Recording, transcription, and analysis of sales calls for the purpose of training and generating insights

Communicate with potential customers by distributing promotional/informational materials via social media, email or other channels

A collection of customer information such as contact details, demographics, previous interactions, etc.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Using different methods or channels to connect with customers

Streamlining repetitive tasks and activities through automated and predefined workflows

Predefined actions automatically performed on the occurance of specific events

Manage the process of attracting and converting business prospects into leads

Real-time alerts or notifications that inform teams about new leads or prospects

Use AI to generate content in the form of text, images, videos, etc.

Automatically identify and save contact information of potential customers

View and track pertinent metrics to find patterns and gain insights from data

Application programming interface that allows for integration with other systems/databases

Visualize and analyze customer experience across all touchpoints and channels

Active reporting of data and metrics

Score a lead on their quality or likelihood to buy based on certain behaviors

A set of rules that assigns credit for sales and revenue to touchpoints across the customer journey

Process of dividing customers into groups based on common characteristics

Supports common databases such as MySQL and Oracle

Arrange tasks based on the level of priority or urgency

Track the progress of long term goals, campaigns, and opportunities, for sales, projects, business ventures etc.

Alter the layout and content of reports

Improving user journey to boost the percentage of visitors who take a desired action (sign-ups or purchases)

A collection of customer information such as contact details, demographics, previous interactions, etc.

Search and filter data across systems to locate required information by entering keywords or certain criteria

Track and document all activities across devices, networks, and other systems

Review data from past periods to reveal recurring tendencies and predict future performance

Store information about leads or contacts and track, manage and nurture them throughout the sales process

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Publish and distribute content to targeted audiences

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Manage the process of attracting and converting business prospects into leads

Receive system updates as soon as any changes are made

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Collect and analyze traffic data about website visitors

Import and export data to and from software applications

A report showing what actions customers perform

Track visitors'/audience's responses across web pages and other optimized content

Evaluating strengths and weaknesses of companies with the same target audience

Predict future data based on historical data sets

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Managing activities & processes related to planning, coordination, implementation, control, and evaluation of sales performance.

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

A system that allows access to a database structure without relying on an external program

Notifications that are delivered to users as soon as an event occurs

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Manage, organize, and store contact information

Analyze and gain insights into data in real-time

Graphical representation of data

Engage with a lead throughout the sales process by actively providing information

Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.

Visual representation of sales prospects & how many deals are in your sales funnel, the stage each deal is in, and the value of deals.

Record customer information, purchase history, and other notes

Analyze and gain insights into data in real-time

Manage, store and organize emails within the system or via third-party apps

Application programming interface that allows for integration with other systems/databases

Allow users to access multiple services after entering their login credentials once

Search and filter data across systems to locate required information by entering keywords or certain criteria

Provides a channel for team members to share media files, communicate, and work together

Set up connections to third-party platforms to improve business processes

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Shortcuts for inputting frequently used messages

Gauge satisfaction and receive information for improvement and success

View and track pertinent metrics to find patterns and gain insights from data

Transfer queries and organize messages between agents

Geographic location of visitors determines behavior of the software

Track interaction history by documenting conversations for contacts

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

View messages sent by both parties during the chat conversation

Store and organize documents in a centralized system

Digitally share screen view with others

Manage, organize, and store contact information

Create and automatically send premade copy in response to customer messages

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Access software remotely via mobile devices

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Form to collect visitor contact information when live chat isn't available

Active monitoring of systems, applications, or networks

Allow customers/users to submit support queries and service requests

Public or private sharing of digital files such as documents, audio/video, images, and more

Customize data fields to support various needs and use cases

Application programming interface that allows for integration with other systems/databases

Notifications that are delivered to users as soon as an event occurs

Engage with a lead throughout the sales process by actively providing information

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Product suggestions provided to users based on past behavior and relevant data, such as browsing and purchasing history

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Send messages via SMS

Manage various aspects of appointments including booking, rescheduling, canceling

Communicate using direct chat or messages within the system

Active monitoring of systems, applications, or networks

Route and distribute your leads to third party buyers

Group campaigns by project, client, or campaign for better management.

Import and export data to and from software applications

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Receive data and information in real time

Send and receive messages in real-time via an online communication channel

Add customized logos and colors to align with company branding

Score a lead on their quality or likelihood to buy based on certain behaviors

Create, save, and re-purpose templates for emails, forms, etc.

Create and automatically send premade copy in response to customer messages

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Process of dividing customers into groups based on common characteristics

Send personal messages to clients or attendees

Manage and track all internal and external communication conducted via calls, email, text, or chat

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Automatically identify and save contact information of potential customers

Schedule appointments via a calendar

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Predefined actions automatically performed on the occurance of specific events

AI-based platform which conducts a conversation via auditory or textual methods

Group messaging lets multiple people carry on a group conversation

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

A collection of customer information such as contact details, demographics, previous interactions, etc.

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Gauge satisfaction and receive information for improvement and success

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Tracks metrics that provide insight into how a user interacts with any interface or product

Multiple agents work together, share tasks, and coordinate to achieve common goals.

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Process of carefully designing and constructing prompts or input instructions to achieve desired behaviors or outputs from AI models

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Build applications without the use of code

Track revisions and updates made to files and navigate between different versions

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Model the varying behavior of a system over time through diagrams

Application programming interface that allows for integration with other systems/databases

Store and save retrievable data

Observe and track the demand, usage, progress or quality of a system, product, or user

Manage a growing amount of work to meet increased demand without compromising performance

Manage budgets, track and optimize spending and align capacity to workload demand

Plan availability and assign specific time slots for tasks and resources

Interact with agents using conversational language

Define levels of authorization for access to specific files or systems

Ability to interact with various large language models, such as GPT-4, Claude 3, Gemini, Llama 3, and more

Identify which applications need to exchange data and enable these data connections

Flexible architecture allowing tailored configurations

Pre-defined templates within a library for common cases such as contracts, websites, emails, and more

Tools for the systematic analysis of various types of data or statistics

Helps understand a user's intentions/actions

Interprets what a user is doing based on context and helps guide them through the process.

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Bots that work alongside humans on tasks that cannot be fully automated

Assemble applications and processes by dragging over and arranging pre-built components

Used as a promotional or demonstration tool in sales and marketing presentations

Use AI to generate content in the form of text, images, videos, etc.

Helps automate and manage information, tasks, and procedures by establishing routines and patterns associated with processes

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Set up connections to third-party platforms to improve business processes

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.

Assemble applications and bots from pre-made building blocks without having to write software code or knowing a programming language

Track and manage adherence to policies for any service, product, process, or supplier

Automatic reply functionality for incoming messages

Gather, organize, share, and analyze knowledge in terms of resources, documents, and people skills

Transfer queries and organize messages between agents

Adjust communications based on previous interactions or personal preferences

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Program systems that assist users with their daily administrative responsibilities

AI-based platform which conducts a conversation via auditory or textual methods

Train your system to interpret and transcribe voice messages

View and track pertinent metrics to find patterns and gain insights from data

Create, manage and track all task activities and progression

Initiate interactions with customers by proactively starting conversations or providing informational content

Software program that continuously adjusts its behavior based on observed data

Configure existing workflows to meet your organization's needs

Automate processes from start to finish without human assistance

Recording, transcription, and analysis of sales calls for the purpose of training and generating insights

Streamlining repetitive tasks and activities through automated and predefined workflows

Managing and resolving errors that occur during program execution to maintain stability

Create and automatically send premade copy in response to customer messages

Configure existing workflows to meet your organization's needs

Process and analyze human language in text or audio form

Add customized logos and colors to align with company branding

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Analyze and gain insights into data in real-time

Existing bot models for AI-based tools commonly used for auditory and textual conversation methods

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Ability to chat online in real time

Active monitoring of systems, applications, or networks

Assemble applications and bots from pre-made building blocks without having to write software code or knowing a programming language

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Train your system to interpret and transcribe voice messages

Assemble applications and processes by dragging over and arranging pre-built components

View and track pertinent metrics to find patterns and gain insights from data

Use AI to generate content in the form of text, images, videos, etc.

AI-based platform which conducts a conversation via auditory or textual methods

Helps understand a user's intentions/actions

Automatically identify and save contact information of potential customers

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Search and filter data across systems to locate required information by entering keywords or certain criteria

Interact with data visualization elements, such as charts and graphs, to drill down into data

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Communicate using direct chat or messages within the system

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Interprets what a user is doing based on context and helps guide them through the process.

Ability to interact with the application using human languages such as English

Observe and track the demand, usage, progress or quality of a system, product, or user

The ability of a bot to respond to user queries in synthesised voice

Notifications that are delivered to users as soon as an event occurs

A collection of customer information such as contact details, demographics, previous interactions, etc.

Application programming interface that allows for integration with other systems/databases

For the intention to be used by developers

Process of dividing customers into groups based on common characteristics

System alerts about the need to escalate an issue or request

Tracks metrics that provide insight into how a user interacts with any interface or product

Tool to send questionnaires to customers to gauge feedback

Score a lead on their quality or likelihood to buy based on certain behaviors

View messages sent by both parties during the chat conversation

Identify different languages

Existing bot models for AI-based tools commonly used for auditory and textual conversation methods

Automatically identify and save contact information of potential customers

Assemble applications and bots from pre-made building blocks without having to write software code or knowing a programming language

Process and analyze human language in text or audio form

Manage and support multiple languages

Used as a promotional or demonstration tool in sales and marketing presentations

Interprets what a user is doing based on context and helps guide them through the process.

Automatic reply functionality for incoming messages

Provide online support for your customers through live chat or help desk functionality

AI-based platform which conducts a conversation via auditory or textual methods

Helps understand a user's intentions/actions

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

See options for potential search queries within the system

Transfer queries and organize messages between agents

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Shortcuts for inputting frequently used messages

Software program that continuously adjusts its behavior based on observed data

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Tickets are automatically assigned to specific agents based on predefined rules

Streamlining repetitive tasks and activities through automated and predefined workflows

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Store, manage, and track all electronic documents in a centralized location

View and track pertinent metrics to find patterns and gain insights from data

Maintain security, compliance, and data privacy protocols for all interactions

Agents pause for human input at key steps and hand off tasks when beyond their confidence or authority.

Allows the AI agent to tailor outreach messages based on customer profiles or past interactions.

Utilize NLP or speech recognition to understand conversational requests and provide accurate, context-aware responses

Ability to learn and adapt from interactions with environment and data, and to model varying behavior over time.

Integration with third-party CRM systems

Allow users to design the agent's trusted role, tone, and capabilities to suit specific sales workflows

Support outbound and inbound sales processes autonomously while ensuring high-quality lead engagement

Allows the AI agent to schedule and automate follow-ups based on prospect engagement.

Manage the process of attracting and converting business prospects into leads

Allows the AI agent to route inbound inquiries to the appropriate team or individual based on context.

Allows for businesses to run a variety of different campaigns across different channels

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows users to track and analyze the effectiveness of automated outbound campaigns.

Allows users to automate responses to customer inquiries across various channels.

Allows the AI agent to identify and resolve issues without user intervention.

Automatically handle routine, repetitive tasks and processes without the need for manual intervention

Provides users the ability to prioritize outreach efforts based on lead scoring or engagement metrics.

Send and receive messages in real-time via an online communication channel

Allows users to automate responses to sales leads across various channels.

Combines data from internal sources with disparate data from other internal systems or external sources

Score a lead on their quality or likelihood to buy based on certain behaviors

Automate processes to manage leads, contacts, opportunities and sales activities

Provides ready-made templates and starter flows for common use cases such as FAQs, lead capture, and support triage.

Allows users to design bot conversation flows using a drag-and-drop, no-code or low-code interface.

Deploys a single built bot across multiple messaging, voice, and device channels without separate rebuilds.

Provides tools to update, patch, and roll back published bots without rebuilding from scratch.

Interprets user intent and extracts entities from free-form text or speech input.

Supports building and running bots that understand and respond in more than one language.

Extends bot logic to telephony or voice channels through speech recognition and speech synthesis.

Tracks bot usage, containment rate, and conversation outcomes through reporting dashboards.

Simulates conversations to validate bot behavior and catch errors before publishing.

Surfaces detailed conversation transcripts and failed-intent logs so developers can diagnose and fix bot behavior.