ServiceNow EmployeeWorks Features

Ability to search across different data sources, such as databases, intranets, and applications.

Offers search for a variety of file types.

Ability to search in multiple languages without any additional work required.

Ability of search to handle typos.

Allows the end user to filter and refine search results.

Ability to define synonyms for search terms.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the user to search in a natural, intuitive manner.

Search for specific words or phrases within a document or database

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

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Interact with data visualization elements, such as charts and graphs, to drill down into data

Analyze and gain insights into data in real-time

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 users to test the efficacy of various responses through A/B testing.

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

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.

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.

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 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.

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

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Software program that continuously adjusts its behavior based on observed data

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

Lets teams configure execution order and dependencies among AI components, ensuring workflows run smoothly and logically.

Streamlines the management of multiple AI models and agents by bringing them together into cohesive, automated workflows for complex business tasks.

Connects with a wide array of AI model APIs and external services, regardless of provider, within a single orchestration platform.

Enables the construction of sophisticated, multi-step AI workflows that combine specialized models for end-to-end process automation.

Integrates seamlessly with enterprise platforms such as CRMs, databases, and business applications for unified data and process flow.

Supports the setup of live data pipelines that move information instantly between AI components and enterprise systems.

Offers comprehensive dashboards to visualize KPIs and performance metrics for all orchestrated AI workflows.

Generates in-depth reports on workflow performance, resource consumption, and the overall business impact of AI orchestration.

Tracks and displays resource usage across all AI components, enabling proactive performance tuning and troubleshooting.

Dynamically manages and allocates computational resources, including GPU clusters, to maximize efficiency based on current workflow needs.

Scales AI workloads up or down automatically, adapting to fluctuations in processing demands and user traffic.

Provides insights into data flow, processing times, and success rates for each individual AI component within a workflow.

Ensures all AI workflows adhere to relevant regulatory standards and industry requirements.

Empowers organizations to enforce governance policies and compliance controls across orchestrated AI operations.

Facilitates the setup of role-based permissions and approval workflows for sensitive AI operations and deployments.

Maintains comprehensive logs and audit trails of workflow executions to support compliance and troubleshooting efforts.

Applies robust security protocols and policies to protect sensitive AI deployments and data flows.

Helps to engage employees through natural-language dialog to answer HR questions and guide workflows.

Interacts fluently across multiple languages and regions, adapting tone and HR context.

Helps perform end-to-end HR tasks like onboarding, leave approvals, or resume screening with minimal guidance.

Supports analysis sentiment and behavior data to signal disengagement or flight risk.

Automatically enforce local regulation and company policy during HR workflows.

Helps fetch data from HRIS, ATS, payroll, ERP, and external sources to inform agent actions.

Initiate timely prompts like nudges for development, simulated difficult conversations, or manager reminders.

Helps routing complex or critical decisions to humans, keeping oversight central to operations.

Automates the evaluation of applicants by matching resumes to job requirements and shortlisting top candidates.

Autonomously schedules interviews, follows up with candidates, and manages communication.

Embed generative (RAG) capabilities for enhanced answer generation using retrieved content

Allow tuning relevance and ranking through machine-learning or Learning-to-Rank models

Enable the system to understand and interpret natural-language queries

Offers search for a variety of file types.

Ability to search across different data sources, such as databases, intranets, and applications.

Ability to search in multiple languages without any additional work required.

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

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the end user to filter and refine search results.

Ability of search to handle typos.

Ability to define synonyms for search terms.

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

Records chatbot interactions, administrative actions, and response histories for review

Restricts chatbot access and responses based on user identity and permissions

Supports regional or customer-defined data storage and processing requirements

Applies governance policies and safety controls to chatbot outputs

Pulls current information from connected systems during conversations

Integrates with external systems and proprietary data sources through APIs

Connects to internal documentation, wikis, and knowledge management systems

Accesses and interacts with customer and operational data from business systems

Grounds responses in connected enterprise knowledge sources and live data

Interprets user intent and conversational context from freeform natural language queries

Maintains conversational memory and context across multiple user interactions

Generates context-aware responses using LLMs and organizational data sources

Executes predefined business actions and workflows from conversational requests

Routes unresolved or high-risk interactions to human agents or teams

Monitors chatbot usage, interaction quality, and operational performance metrics

Deploys chatbot experiences across web, messaging, intranet, and support channels

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

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

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Import and export data to and from software applications

Track visitors'/audience's responses across web pages and other optimized content

Manage and store data in a database

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

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

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

Allows users to manage data from a number of sources

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

Form predictions based on past and present data/trends

Collect and maintain structured information that describes data or content

Create, save, and store files

Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc

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

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

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

Compile and organize data into specific metrics

Autocompletion of a word or phrase that the user is typing

Intended to be used by online stores

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

Create and manage digital catalog of products/services with their details, specifications, and price

See options for potential search queries within the system

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

Define levels of authorization for access to specific files or systems

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

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

Create, manage and track all task activities and progression

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

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

Import, collect, and capture data from multiple sources

Graphical representation of data

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

Designed for large businesses

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

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

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

Track and interpret metrics on the usage of company resources

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

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

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

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

Manage and support multiple languages

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

Predict future data based on historical data sets

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

Integrate with core HR systems such as HRIS, ATS, knowledge bases, and payroll software

Define a process for transferring calls/tickets to management

Provide proactive or multi-step task support, not only reactive conversational responses

Initiate timely prompts like nudges for development, simulated difficult conversations, or manager reminders

Automates the evaluation of applicants by matching resumes to job requirements and shortlisting top candidates

Automatically enforce local regulation and company policy during HR workflows.

Autonomously schedules interviews, follows up with candidates, and manages communication

Helps routing complex or critical decisions to humans, keeping oversight central to operations

Autonomously perform or assist with HR tasks across the employee lifecycle

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.