Question 1

What is Intraverbal AI, and what does it help behavior analysts do?

Accepted Answer

Intraverbal AI is an augmented intelligence platform designed to support behavior analysts with the most time-intensive parts of their work—such as drafting assessments, organizing clinical information, and structuring documentation.

It does not replace clinical judgment or decision-making. Instead, it helps BCBAs work more efficiently by providing structured, high-quality drafts and insights that they review, modify, and finalize.

Question 2

Who is Intraverbal AI designed for?

Accepted Answer

Intraverbal AI is built for practicing BCBAs who want to reduce documentation time while maintaining clinical quality, ABA business owners and clinical leaders looking to support consistent, ethical documentation across teams, and students and trainees who want structured support while learning how to think and write like behavior analysts. Each group uses the platform differently, but all benefit from reduced administrative burden and improved workflow.

Question 3

How much of a report does Intraverbal AI complete?

Accepted Answer

Intraverbal AI typically supports approximately 80–85% of the drafting process. The system helps organize information, generate structured draft language, and align content with common documentation requirements. BCBAs are responsible for reviewing, editing, applying clinical judgment, and completing all final documentation. Intraverbal AI is designed to assist, not automate, clinical work.

Question 4

Does Intraverbal AI replace the role or judgment of a BCBA?

Accepted Answer

No.

Intraverbal AI does not replace the role, responsibility, or professional judgment of a BCBA. All clinical decisions, interpretations, and final documentation remain the responsibility of the clinician.

The platform is intentionally designed to function as a clinical support tool, helping behavior analysts do their work better, faster, and with less administrative strain—while preserving ethical and professional accountability.

Question 5

How does Intraverbal AI handle data security and confidentiality?

Accepted Answer

Intraverbal AI is built with security and confidentiality as core design principles. Data is encrypted and handled in accordance with HIPAA-aligned practices. Protected Health Information (PHI) is safeguarded and is not used to train public AI models. Access controls and secure infrastructure are used to protect sensitive information. The platform is designed for professional environments where privacy, trust, and compliance are essential.

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