Maven AGI Features

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.

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

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.

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

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

Implements stringent measures to protect user data and ensure privacy.

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

Integration with third-party CRM systems

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

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

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

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.

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

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

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

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

Track interaction history by documenting conversations for contacts

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

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.

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

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.

Protect sensitive data for digital 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

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

Process and analyze human language in text or audio form

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

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

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

Record and track all relevant internal and external communications

Completes tasks independently without constant human intervention

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

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

Train your system to interpret and transcribe voice messages

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

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

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.

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.

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.

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.

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.

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

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

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.