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Description
Introducing the first hyperautomation platform that seamlessly integrates with any current ITSM tool to reveal and act on insights instantly, thereby enhancing ticket resolution speed and minimizing expenses. The Swish.ai hyperautomation platform not only analyzes and automates processes but also predicts the optimal actions to take, efficiently directing issues to the most suitable agent. By assessing your historical ITSM ticket data, the Swish.ai platform formulates dynamic AI models that continuously adapt to capture insights pertinent to your unique environment. This patented technology transcends traditional natural language processing to grasp your company's specific terminology. It effectively enhances the comprehension of each underlying ticket issue and accurately determines the next best action in real-time. After tickets are properly classified, the platform considers additional live data points before directing them to the most fitting agents. Furthermore, we offer comprehensive reference materials to ensure agents have all necessary resources at their disposal to resolve the ticket effectively, avoiding any delays or rerouting. In this way, Swish.ai not only streamlines operations but also empowers agents to perform at their best.
Description
Process mining represents a modern digital method for integrating business data assessment with the enhancement of processes. Each activity within a company is associated with a distinct process instance known as 'Cases.' The ERP system captures all pertinent transaction data related to this process in log files referred to as 'event logs.' A basic event log must include three essential pieces of information. Once this data is available, you can immediately begin your analysis. The case identifier serves to connect all events pertaining to a specific business case into a unique sequence. The activity name provides details about which process step has been performed. Lastly, the timestamp indicates when a specific activity occurred. By linking the information from Case ID, Activity, and Timestamp, process mining constructs a flow of the process in the correct order and visualizes it, presenting valuable insights into process efficiency. The analytical opportunities available through process mining are virtually limitless, contingent solely upon the quality and quantity of data input into the mining software, enabling organizations to continually refine and enhance their operations.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure DevOps Server
Yes
BMC Helix Digital Workplace
Yes
CA Flowdock
Yes
Datadog
Yes
GitHub
Yes
Jira
Yes
Microsoft Power BI
No
Qlik Sense
No
Salesforce
Yes
ServiceNow
Yes
Integrations
Azure DevOps Server
No
BMC Helix Digital Workplace
No
CA Flowdock
No
Datadog
No
GitHub
No
Jira
No
Microsoft Power BI
Yes
Qlik Sense
Yes
Salesforce
No
ServiceNow
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Swish.ai
Founded
2017
Country
Israel
Website
swish.ai/
Vendor Details
Company Name
process.science
Country
Germany
Website
www.process.science/benefits
Product Features
ITSM
Asset Tracking
No
Availability Management
No
Change Management
No
Configuration Management
No
Contract/License Management
No
Dashboard
No
Incident Management
No
Problem Management
No
Project Management
No
Release & Deployment Management
No
Self Service Portal
No