Working with people through feedback from their core reports prepares these same activity streams for more processing and discovery. We surface patterns and click streams, create new shortcuts beyond the defaults, apply more models, Machine Learning and AI.
The models generate more recommendations from this additional processing. People review and refine the recommendations made and accept what makes sense within their flow. These refinements inform the next passes of additional processing, and the iterative improvements continue while people see the benefits.
