Zero Trust AIThe executive framework for deploying AI you can trust at scale
A framework for controlling flawed models, scaling safely, and building verifiable AI systems that work in production.
Operationalize flawed AI without risking production quality.
Learn how to:
Make flawed models safe to use by designing oversight
Deploy AI workflows in production without waiting for perfect outputs
Apply the principles of proven enterprise risk systems for measurable outcomes
What You'll Learn
Design oversight systems
Make flawed models safe to use by designing oversight systems with a checklist for implementing verification workflows at scale
AI workflows
Deploy AI workflows in production without waiting for perfect outputs by embedding human-in-the-loop verification where it counts
Proven principles
Apply the principles of proven enterprise risk systems—like QA, audit, and sign-off—to machine-generated decisions using the infrastructure you already have
"It’s one of the more important tools in our implementation toolbox. Without tools like Flatfile, scaling would be almost impossible."
Scott Patterson, Director of Implementation, BuildOps