Sensitive intake data should not reach an AI model by default. Teams need a clear boundary that decides what is allowed, what must be minimized and what stays out of the prompt entirely.
In this 45-minute live webinar, Noosh Barat, Co-founder and CMO of Formaloo, will show how to design a controlled intake and onboarding system for regulated operations. The session uses a healthcare patient-referral workflow to make the safeguards concrete without making compliance guarantees.
What you’ll learn
- Define the data boundary before AI by classifying intake fields as allowed, minimized or blocked, then passing only approved values into AI Analysis.
- Separate AI, rules and human authority so AI prepares information, fixed logic enforces policy and accountable people make final decisions.
- Design the controls around the workflow with role-based access, exception routing, review logs and retention-based anonymization for stored submissions.
What you’ll see
Watch a patient referral move from submission to routed onboarding. Selected fields feed an answer-piped AI prompt, fixed rules control the path, exceptions reach the right owner and a human reviewer keeps decision authority. The walkthrough also separates pre-AI field selection from automatic anonymization that happens later under a retention policy.
Who should attend
This session is for healthcare operations leaders, CIOs, CTOs, security and privacy teams, and onboarding owners evaluating AI-enabled intake in regulated environments.
About the presenter
Noosh Barat is Co-founder and CMO of Formaloo. She works with teams turning forms, workflows, permissions and AI-assisted analysis into practical operational systems.
Save your spot for Wednesday, 19 August 2026 at 11:00 am ET.


















