AI-generated session note summaries are quickly becoming increasingly common in ABA software, helping agencies save time and streamline documentation. But with that convenience comes real compliance risk. In this article, we’ll walk through one way AI is being used in ABA session notes today, what we've uncovered in actual audits, and what agency leaders need to do to make sure their documentation stays accurate, ethical, and defensible.
AI is already embedded in many of the systems ABA agencies rely on every day.
Most modern EHR platforms now offer AI-generated narrative summaries based on session data. The promise is simple: faster documentation, cleaner notes, and less burden on staff. And yes, it can deliver on that.
But when AI is generating part of the clinical record, it’s no longer just a convenience feature. It becomes part of your compliance risk profile.
The guidelines on AI's use from the Artificial Intelligence Consortium for Applied Behavior Analysis are clear: AI must be human-led. That means outputs should be reviewed, edited, and approved by a qualified professional, who remains responsible for the final content
AI doesn’t own the note.
You do.
The Audit That Raised Red Flags
We audited an ABA agency that had fully adopted AI-generated session summaries.
But they didn’t implement any meaningful safeguards.
They had:
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No “human in the middle” review process
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No indication in the notes that AI generated the summaries
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No client or caregiver consent for AI use in medical records
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Full reliance on the exact prompt recommended by their EHR vendor
From their perspective, they were doing what they thought they should be doing. They trusted the system and assumed the vendor had done the hard work. But that assumption created real exposure.
Because from a compliance standpoint, “we followed the vendor’s instructions” isn’t a defense. Responsibility for documentation doesn’t transfer to the software company. It stays with the provider organization. Let's look at what the audit found in terms of the summaries AI was producing.
