Workflow Intelligence

Discover the True Effort of Work through Everyday Execution

Workflow intelligence was created because we know no matter how hard you try it is near impossible in a world of constant change and innovation to capture the true effort of productive work.  Give credit where credit is due.

Let machine learning do the work.

Review trends across teams, activities, tasks, and dates.

Discover unknown activities and tasks – Account for the true effort of productive work.  Let machine learning match activity to potential productive activity.  We all work a little different but that doesn’t mean its wrong  

Discover opportunity to streamline efforts – Uncover where extra work and potentially unnecessary work is being done, possibly revealing why work is taking longer than defined or expected

Discover potential new best practices – Your team is resourceful, capitalize on more efficient way of getting work done

Leverage an AI First Technology

Kunin AI’s, patent pending, non-intrusive solution is built on the latest technology stack available and connects into any environment without integration overhead.
Workflow Intelligence is comprised of neural networks for application and window sequencing that enables all work to be categorized, not just the work you know and understand but all the work being done.

Our Commitment

Our design is inclusive of all levels of the organization and built with capabilities that support full transparency.  Data drives insights and we believe that capturing data and metrics are an integral part of understanding how to improve.  We also believe in full transparency in what is being captured and how the data is being used, and that insights should be empowering to maximize individual potential.
Our commitment is to always build a solution with full transparency, and educate our users to leverage the data in a socially responsible way. 

Our solution was purposefully designed with the ability to pause and resume to support employee privacy, and without intrusive features: