You can't improve what you don't understand.

TimelinePI allows you to quickly uncover and understand the truth about how processes are performed based on facts, not assumptions.

TimelinePI is a process intelligence platform that enables end-to-end digital process visibility, with over 25 prepackaged analytic tools that make process insight actionable. 

Easily identify the root causes behind inefficient or costly processes, quantify the financial impact of process improvements, monitor process execution in real time, and automatically alert staff for compliance violations.

Optimizing and sustaining process excellence has never been this easy.

What is TimelinePI used for?

Process Discovery & Mapping

Process Analysis & Optimization

Process Audit & Compliance

Automatically discover and expose 100% of process execution.

Reinforce best practices to ensure continuous improvement.

Monitor your processes in near real time.

Key Features:

  • Does not require specialized skills or consulting to use
  • Delivers out of the box capabilities that provide quick, intuitive, and informative process transparency
  • Process metrics and measurements are created automatically without programming
  • Provides immediate visibility and access to robust process metrics
  • Users can immediately focus on improving processes instead of coding or customizing inhouse tools with what are already scarce resources
  • Users can import existing data – doesn’t require any specialized environment or data consolidation

Sign-up for new release updates and news of upcoming events

Industry Solutions for:

Recent Stories

Get Started with a demonstration!

Request a demonstration to see how TimelinePI can help you understand and improve process execution.
 
  • Learn how Intelligent Process Mining works
  • Discover how and why process behave as they do
  • Learn how to spot bottlenecks and other inefficiencies
  • See how you can automate process monitoring and alerting
  • Appreciate how intelligent process analytics improve your business