Voiceflow Features

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.

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.

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

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.

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

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

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

Pre-designed layouts that can be customized to match preferences and requirements

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

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

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.

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.

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.

Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions.

Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models.

Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications.

Provides the user the ability to allocate computational resources based on demand, making it cost-effective.

Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations.

Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in.

Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally.

Allows the user to set up access controls based on roles within the organization, enhancing security.

Ensures that data is encrypted during transit and at rest, providing an additional layer of security.

Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting.

Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality.

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.

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.

Supports configuration using natural language instructions.

Allows users to customize the tone of agent.

Enables definition of clear security guardrails for agent actions.

Protect APIs from threats using authentication, access control and encryption

Protect sensitive data for digital privacy

Verify the identity of users/devices to enable secure access

Provides support across web, mobile, messaging apps, and other channels.

Allows customization of agent branding, including visual appearance and conversational style.

Equips agents with proactive response capabilities based on predefined triggers.

Facilitates seamless escalation to human employees for complex issues.

Supports various file formats

Processing different types of input like text, voice, images etc.

Provides analytics and reporting on agent performance and interactions.

Offers agents the ability to maintain contextual awareness across interactions.

Ensures compliance with data privacy and governance requirements.

Automates workflows and actions based on agent responses.

Allows the use of APIs for advanced agent configuration.

Enables interoperability with multiple platforms for unified experiences.

Allows integration with CRM data to ground agent responses in business context.

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

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.

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.

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.

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

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

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

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

Adjust communications based on previous interactions or personal preferences

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Event-driven HTTP callback that automatically sends real-time data between applications

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

Process and analyze human language in text or audio form

Automatically switching to secondary AI model(s) during failure or hallucinations

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

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

Chatbot or AI assistant that answers queries and provides recommendations within an application

Execution of software tests by leveraging automation tools

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

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

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

Designing how agent will communicate, take decisions and behave in different scenarios via flowcharts, scripts, or visual editors

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

Process of testing an ML algorithm by feeding it training data to learn from

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

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

Detect and remove errors

Manage the processes involved when making the application ready for use

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

Create, design and manage workflows for repetitive tasks

Track interaction history by documenting conversations for contacts

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

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

Online portal through which end users can access the system, manage tasks, or obtain information

Analyze and gain insights into data in real-time

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

Private online space that lets businesses securely share documents and provide information access to clients

Track and manage inventory levels to maintain proper supply

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Configure existing workflows to meet your organization's needs

Access previous interactions or concerns to maintain customer relationships

Gauge satisfaction and receive information for improvement and success

Allow customers/users to submit support queries and service requests

Set and monitor service level agreements to ensure timely response and resolution

An extended application or connector that enables users to perform additional services with their current set of tools

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

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

Pre-made examples and templates for emails

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

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

Receive data and information in real time

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

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

Predefined actions automatically performed on the occurance of specific events

Seamlessly integrates with 3rd party websites

Managing service requests, incidents, IT issues & support with a ticketing system

Manage all call center activities including call monitoring, call recording, call answering, call transfer, etc.

Monitor wait time and abandonment for incoming requests that have not been routed

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

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

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

Communicate using direct chat or messages within the system

Ability to chat online in real time

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

Alter the layout and content of reports

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

Add customized logos and colors to align with company branding

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

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

Define levels of authorization for access to specific files or systems

Customize contracts and forms to collect specific information

Ability to communicate to customers through at least one channel such as email, live chat, phone, or social media.

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

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

Customize data fields to support various needs and use cases

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

Track, manage and store the applications of potential future members, customers or candidates

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

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

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

Train your system to interpret and transcribe voice messages

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

Completes tasks independently without constant human intervention

Categorize emotions expressed and identify if they are positive, negative or neutral

Protect sensitive data for digital privacy

Addition of necessary external data, applications, tools, or features

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

Autonomously executes tasks such as scheduling, refunds, and renewals by integrating with external systems and APIs.

Process and analyze human language in text or audio form

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

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

Track interaction history by documenting conversations for contacts

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

Integration with third-party CRM systems

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

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

Record and track all relevant internal and external communications

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

Track, manage, or resolve user requests and IT incidents/issues

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.