White Paper: Trust You Can Test

As AI shifts from curiosity to real adoption, many organizations are asking: 

• Can we actually trust how this works? 

• What’s happening behind the scenes? 

• How will it hold up in practice? 

Our latest white paper, Trust You Can Test, breaks down ways you can evaluate AI solutions with confidence. 

You’ll learn: 

• Why trust in AI must be built on controls, transparency, and verifiable evidence 

• The critical questions to ask about data capture, access, retention, and model behavior  

• How to identify early red flags that signal risk before implementation  

• What an “evidence package” should include and how to validate it  

• How to test AI systems in real workflows before and after go-live  

Whether you’re exploring AI for the first time or evaluating a platform already in place, this guide will help you make informed decisions you can stand behind. 

About the Authors

Travis Moon Travis Moon, Kipu's Content Marketing Strategist, is a seasoned leader in healthcare IT and content marketing, specializing in the behavioral healthcare sector. He develops impactful, data-driven campaigns that support healthcare professionals and enhance patient outcomes. With over a decade of experience, Travis has led strategic content initiatives for major healthcare organizations, including the launch of data visualization tools and thought leadership campaigns.