ServiceNow AI Agents Features

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.

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 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 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.

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.

Provides an AI agent that is able to make decisioning independently.

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

Provides users with automated updates on ticket progress and resolution timelines.

Enables the AI agent to track service level agreements and ensure timely ticket resolution.

Enables the AI agent to classify and prioritize tickets based on issue type and urgency.

Allows the AI agent to route tickets to the appropriate team or individual for resolution.

Allows the AI agent to automatically generate tickets from user inquiries or issues.

Enables the AI agent to retrieve and apply solutions from an IT knowledge base.

Enables the AI agent to automate repetitive IT tasks, such as password resets or software installations.

Allows the AI agent to diagnose and resolve IT issues without human intervention.

Provides users with instant, automated guidance to resolve common IT problems.

Allows the AI agent to identify and address potential IT issues before they escalate.

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.

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

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

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

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

Train your system to interpret and transcribe voice messages

Proactively detect errors or bugs, delivering actionable and team-oriented suggestions for remediation

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

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

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

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

Completes tasks independently without constant human intervention

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

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

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

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.

Embed/link applications into third party software so it can be accessed within a third party system

Track interaction history by documenting conversations for contacts

Define and manage the persona, response style, and functional scope of AI agents to suit different use cases and business processes.

Intuitive interface and user-friendly design which seamlessly integrate with existing workflows

Manage incidents related to outages or breaches in functionality of IT systems

Tickets are automatically assigned to specific agents based on predefined rules

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

Connect to organizational knowledge repositories and databases

Allow customers/users to submit support queries and service requests

Streamlining repetitive tasks and activities through automated and predefined workflows

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