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What is Swish.ai?

Introducing an innovative hyperautomation platform that flawlessly integrates with existing ITSM tools to deliver insights and actions in real-time, significantly speeding up ticket resolution and reducing costs. The Swish.ai hyperautomation platform excels in analyzing and automating workflows while also forecasting the best possible actions to ensure that issues are promptly assigned to the right agent. By evaluating your historical ITSM ticket data, this platform develops adaptive AI models that evolve to capture insights relevant to your specific environment. Its patented technology goes beyond conventional natural language processing by understanding the unique terminology of your organization, which enhances the clarity of each ticket's underlying issue and accurately identifies the next best action as it occurs. Once tickets are categorized accurately, the platform utilizes additional real-time data points to direct them to the most qualified agents. In addition, we provide extensive reference materials to equip agents with the necessary tools to resolve tickets efficiently, preventing unnecessary delays or redirection. This comprehensive approach not only optimizes operational processes but also enables agents to excel in their roles, ultimately leading to improved customer satisfaction and operational efficiency. By harnessing the power of advanced technology, Swish.ai positions itself as a game-changer in the ITSM landscape.

What is Sutherland Robility?

Organizations have long grappled with the need to modernize their operations, enhance customer experiences, increase efficiency, and cut costs. The current business environment is shifting; companies are now acknowledging that simply hiring more staff is not the solution to these challenges, but rather the implementation of a robust automation strategy is essential. Hyperautomation, which integrates various automation technologies, enables businesses to manage complex processes, large amounts of data, and multiple IT systems while significantly lessening the need for manual intervention. However, embarking on this journey often necessitates additional resources, expertise, and collaborations, which can lead to prolonged timelines, escalating expenses, and diminished value. In response to these hurdles, we have developed a tailored solution that aims to drive operational change and maximize outcomes for organizations while effectively managing costs and leveraging existing skills. Robility encompasses all necessary elements for achieving hyperautomation and employs a familiar low-code design framework similar to traditional Robotic Process Automation (RPA), making the approach both efficient and accessible to businesses of all sizes. This strategy not only enables organizations to meet the evolving demands of the market but also empowers them to excel within a fiercely competitive landscape, ensuring sustainable growth and adaptability for the future.

Media

Media

Integrations Supported

ServiceNow
Azure DevOps Server
BMC Helix Digital Workplace
CA Flowdock
Datadog
GitHub
Jira
Salesforce
Skilling
Splunk Cloud Platform

Integrations Supported

ServiceNow
Google Cloud Platform

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Swish.ai

Date Founded

2017

Company Location

Israel

Company Website

swish.ai/

Company Facts

Organization Name

Sutherland

Date Founded

1986

Company Location

United States

Company Website

www.sutherlandglobal.com/products-x-platforms/sutherland-robility

Categories and Features

AI Customer Service

Not specified

Hyperautomation

Not specified

ITSM

Not specified

Process Mining

Not specified

Categories and Features

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