[
Tungste... Reviews
](https://www.g2.com/products/tungsten-totalagility/reviews)

[
Tungste... Reviews
](https://www.g2.com/products/tungsten-totalagility/reviews)

# Tungsten TotalAgility Features

##### 
## Customization (5)

Document Generation

Enables users to create documents for business processes and provides a wide array of templates which are customizable.

Process Design

The ability to create custom workflows aligned with business objectives.

Process Repository

A library in which to keep previously used or designed workflows for future use or to use parts of for upcoming custom workflows.

No-Code App Development

Provides drag and drop tools usable by admins with little to no coding experience in order to build applications which automate workflows and business processes.

Low-Code App Development

Provides development environments to allow users to develop applications which automate workflows and business processes with minimal coding.

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##### 
## Collaboration (4)

Permissions for Sharing

Enable decision-makers to easily share processes with the proper employees.

Data Unification

Compile data from across all systems so that users can view relevant information easily.

Accessibility

Allow users to access workflows and processes from anywhere given that employees in different locations and roles will require.

Process Routing

Ensures the right task is being assigned to the proper employee across an entire process.

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##### 
## Process Management (11)

Process Overview

Provides users a holistic view of all workflows so as to see how all processes work together.

Process Analysis

Delivers data points such as time and cost of a process on a dashboard to evaluate process efficacy.

Real-Time Process Monitoring

Allows users to view progress of a business process in real-time enabling them to view performance or manage tasks within the process.

Unstructured Processes

Provides the ability to manage unstructured processes.

API Connection

Connect with existing systems via API.

Intelligence

Gives user machine learning tools for intelligent process improvement

Document Approval

Streamline and simplify document approval processes.

Process Library

Provides users with a repository for process maps and documentation.

Collaboration

Allows for collaborative authoring of process documents.

Integrations

Provides various connectors and integrations to business applications and data sources.

Execution Management

Gives users the ability to analyze processes, find bottlenecks and identify the gaps between how things should be and how they really are.

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##### 
## Administration (6)

Application Deployment

Releases the application for access on desktop or mobile devices.

Native Deployment

Application hosting abilities are delivered directly by the product's vendor.

Data Security

Encrypts or provides some form of firewall to prevent external parties from accessing sensitive data.

Access Control

Allows administrators to control access to updates, releases and changes.

Scalability

Provides features to allow scaling for large organizations.

Lifecycle Management

Provides ability to manage application and maintenance from build, throughout the release, and until it's deactivation.

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##### 
## Automation (9)

Workflow Automation

Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.

Workflow Mapping

Visually displays connected applications and integrated data. Allows customization and management of workflow structures.

Real-Time Updates

Processing changes to data sources and applications as changes are made in real-time.

Workflow Automation

Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.

Workflow Mapping

Visually displays connected applications and integrated data. Allows customization and management of workflow structures.

Real-Time Updates

Processing changes to data sources and applications as changes are made in real-time.

Robotic Process Automation

Offers the ability to record processes performed by humans to be recreated by bots.

RPA Integration

Integrates with RPA technology, either natively or via 3rd-party integrations.

Application Development

Allow customers, partners and third-party developers to create applications on top of business processes.

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##### 
## Development (4)

Application Templates

Provides base-level application templates to build atop and which users can customize for specifc users and actions.

UI Code Extending

Gives users the ability to edit or write custom HTML, Javascript or CSS code.

WYSIWYG Editor

Provides the ability to drag-and-drop elements into the application to customize interface.

Collaborative Development

Share, review and develop web applications remotely between members of a collaborative team.

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##### 
## Automation Building (6)

Visual Editor

Provides a visual editor to easily create automation models.

Workflow Recording

Offers the ability to record processes performed by humans to be recreated by bots.

Pre-Built Templates

Provides templates for workflows and processes for easier automation creation.

Custom Automation

Allows developers to code custom automations.

Collaboration

Offers users the ability to reuse process automations and communicate with other team members around automation building.

Ease of Bot Creation

Allows non-technical users to create bots in an easy, intuitive manner.

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##### 
## Bot Management & Execution (6)

Bot Scheduling

Equips administrators with the ability to schedule bot deployments in advance or on a consistent, regulated cadence.

Attended Automation

Automates processes that supplement human action, often requiring human intervention and collaboration.

Unattended Automation

Automates processes completely without the need for human intervention.

Bot Performance Analytics

Allows users to analyze the performance of bots via dashboards.

Data and Product Security

Insures data remains secure and compliant with industry standards.

Scalability

Able to support large deployments.

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##### 
## Algorithm (6)

Part of Speech Tagging

Gives user ability to parse text by parts of speech

Summarization

Provides user with a summary of inputted text

Named Entity Recognition

Gives user ability to parse text by named entities

Sentiment Analysis

Outputs the sentiment (positive or negative) of a given text

Emotion Detection

Provides user with emotion (e.g. sad, happy, etc.) of text

Language Detection

Detects language of a given text

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##### 
## System (5)

Data Ingestion & Wrangling

Gives user ability to import a variety of data sources for immediate use

Programming Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building language models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Customizable Models

Allows user to build custom language models

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##### 
## Digital Workflows (3)

Logic and Conditions

Gives the ability to build a workflow based on business logic or a specific condition in order to route work to different people based on rules.

No-Code Or Low-Code

Provides the user with a no-code or low-code environment in which they can build applications and workflows, including drag-and-drop features.

Document Management

Gives the user the ability to manage documents, including versioning and the ability to integrate those document with third-party applications.

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##### 
## Forms (3)

Data Mapping

Integrates data and processes from multiple sources into a single system.

Templates

Build interfaces once and use them across one or more processes.

Mobile-Friendly Forms

Gives the user the ability to build and use forms on mobile devices.

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##### 
## Intelligent Automation (3)

OCR

Provides OCR capabilities in order to recognize text in documents and applications.

Machine Learning

Allows for intelligent automation whereby the bot can imitate human behavior by learning from behavioral patterns.

NLP

Provides NLP capabilities in order to understand text in documents and applications.

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##### 
## Process Development (1)

Process Routing

Ensures the right task is being assigned to the proper employee across an entire process.

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##### 
## Process Analysis (3)

Real-Time Process Analysis

Allows users to conduct real-time process analysis, as opposed to just historical analysis.

Process Notation

Gives process notation capabilities.

Process Mapping

Provides tools for defining what a business entity does, who is responsible, to what standard a business process should be completed.

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##### 
## Generative AI (3)

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

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##### 
## Data Capture (2)

Multi-format Support

Allows the user to process documents in various formats such as PDF, DOCX, and JPEG.

OCR Capabilities

Gives user the ability to convert different types of documents into machine-readable text using Optical Character Recognition (OCR).

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##### 
## Data Extraction (2)

Entity Recognition

Enables the user to identify and extract specific entities like names, dates, and addresses from documents.

Text Classification

Gives user the ability to categorize sections of text within the document based on preset criteria.

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##### 
## Data Validation (1)

Accuracy Checking

Provides the user with the capability to validate the extracted data for accuracy.

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##### 
## Workflow Automation (2)

Batch Processing

Enables the user to process multiple documents in a single batch operation.

Process Integration

Gives user the ability to connect to automation technology, such as robotic process automation (RPA).

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##### 
## Document Management (2)

Search Functionality

Enables users to search through the content of processed documents easily.

Version Control

Allows the user to track changes and manage different versions of a document.

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##### 
## Machine Learning (1)

Custom Model Training

Gives user the ability to train custom machine learning models for specific data extraction tasks.

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##### 
## Natural Language Processing (1)

Sentiment Analysis

Provides the user with the ability to analyze the sentiment expressed in the textual content of the document.

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##### 
## Semantic Analysis (1)

Contextual Understanding

Allows the system to understand the context of words and phrases for better data extraction and classification.

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##### 
## Data Integration (1)

API Support

Provides the user with the ability to integrate the IDP system into other applications through APIs.

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##### 
## Security (2)

Compliance Standards

Assures the user that the system complies with industry regulations like GDPR.

Data Encryption

Ensures that all data processed is encrypted for security.

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##### 
## Agentic AI - Business Process Management (7)

Multi-step Planning

Ability to break down and plan multi-step processes

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Robotic Process Automation (RPA) (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Process Mining (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Digital Process Automation (DPA) (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### Categories on G2

[
Robotic Process Automation (RPA)
](https://www.g2.com/categories/robotic-process-automation-rpa)[
Intelligent Document Processing (IDP)
](https://www.g2.com/categories/intelligent-document-processing-idp)[
Process Mining
](https://www.g2.com/categories/process-mining-tools)

[
Business Process Management
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Workplace Innovation Platforms
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Digital Process Automation (DPA)
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Natural Language Understanding (NLU)
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