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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
API Access
Has API
Integrations
Azure DevOps Server
BMC Helix Digital Workplace
CA Flowdock
Datadog
GitHub
Jira
Microsoft Power BI
Qlik Sense
Salesforce
ServiceNow
Integrations
Azure DevOps Server
BMC Helix Digital Workplace
CA Flowdock
Datadog
GitHub
Jira
Microsoft Power BI
Qlik Sense
Salesforce
ServiceNow
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Availability Management
Change Management
Configuration Management
Contract/License Management
Dashboard
Incident Management
Problem Management
Project Management
Release & Deployment Management
Self Service Portal