Forethought AI Agents Features

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

Makes articles in the knowledge base searchable on the web.

Optimizes the customer self-service experience on mobile devices

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

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

Automates some or all operation related tasks

Utilizes artificial intelligence to improve workflows or customer experiences

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

Administrators can access and organize data related to incidents, requests, and changes to produce reports or make data more navigable.

Operationalizes data delivery workflows to easily scale repeatable preparation needs

Provide workflows to create and escalate issues related to risks and requests

Integrates with live chat, chatbots, help desk, or other customer service software

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

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond to an action they took

Ability to control file/folder access by user or group, external sharing permissions, editing policies, device location restrictions, sharing by device, etc.

Ensures user access management, data lineage, and data encryption

Deliver standard reports for compliance standards and frameworks such as ISO, SOX, PCI, and HIPAA.

Perform ad-hoc or ongoing IT audits at different levels of the company.

Identify risk data attributes such as description, category, owner, or hierarchy.

Protects data with some form of encryption as it leaves your secure or local network.

Allows administrators to set user access privileges to permit approved parties to access sensitive data.

Requires a second level of authentication, such as sms messaging or customized tokens, to access data.

Protect sensitive data for digital privacy

Enables the creation of an internal repository of knowledge articles

Provides workflows for writing, editing, approving, and publishing knowledge article content

Helps users understand which knowledge articles are working and identifies areas of improvement

Offers a search function that auto-suggests the knowledge articles that best fit the agent’s query

Analyzes customer support tickets or conversations to suggest relevant knowledge articles

Allows for the creation of flowcharts or decision trees that guide agents step-by-step through resolving customer issues

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

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 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

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.

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.

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 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

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

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

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

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