Haptik 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

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

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.

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.

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.

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.

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.

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

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

Manage and support multiple languages

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

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

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.