Case Study: BetterNight cuts referral processing time in half with Tennr

A Tennr Case Study

Preview of the BetterNight Case Study

How BetterNight’s Team of 10 is Operating like a Team of 20

BetterNight, a provider of comprehensive sleep health solutions, faced a challenge with highly manual and inefficient patient intake processes. Their VP of Operations, Rob Bovee, sought a solution to make his team of 10 operate like a team of 20. He looked at RPA options but found them inflexible. The vendor Tennr presented a more adaptable automation platform that was exactly what they were looking for.

By implementing Tennr's machine learning models and automation platform, BetterNight cut its referral processing time in half, from 30 minutes to under 15 minutes for the same amount of work. The solution eliminated backlogs, drastically improved data accuracy, and allowed staff to be repurposed for more meaningful work. Tennr's platform directly contributed to increased efficiency, improved employee satisfaction, and provided the best-in-class customer support throughout the implementation.


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BetterNight

Rob Bovee

VP of Operations


Tennr

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