If you run or work in a behavioral health practice, you have probably already
tested at least one AI tool for notes. The category has gotten crowded fast, and
the marketing all sounds the same: faster notes, less burnout, more time with
clients. This guide is the part the marketing skips — how to actually evaluate AI
progress note software in 2026, what separates a tool you will still use in six
months from one you abandon after a week, and a concrete workflow you can copy.
It is written for practice owners and clinicians who have to live with the
decision, not for procurement checklists.
What "AI progress notes" actually means in 2026
The phrase covers three different things, and conflating them is the most common
buying mistake.
- Ambient/transcription-first tools listen to the session (in-room or
telehealth), produce a transcript, then draft a note from it. Best when most of
your value is captured in the spoken session.
- Drafting-first tools take your own inputs — a few bullet points, a
dictated summary, or pasted shorthand — and expand them into a structured note.
Best when you already think in clinical structure and want to skip the typing.
- Hybrid assistants do both and let you move between transcript-driven and
prompt-driven drafting depending on the session.
None of these is "better." A solo telehealth therapist doing 50-minute talk
sessions has different needs than a prescriber running 15-minute med checks. Decide
which mode matches the bulk of your week before you compare feature lists, or you
will end up grading tools on capabilities you will never use.
The seven things to evaluate (in priority order)
1. Note quality on your session types
Vendor demos use clean, well-structured example sessions. Your Tuesday afternoon
does not look like that. The only meaningful test is to run the tool on your own
real session formats — a messy intake, a crisis check-in, a routine follow-up — and
read the drafts as a clinician, not a shopper. Ask: would I sign this after a
30-second edit, a two-minute edit, or a rewrite? A tool that produces 80%-there
drafts on your hardest sessions beats one that nails the easy ones.
2. Compliance posture you can actually verify
This is non-negotiable for protected health information. The minimum bar:
- A signed Business Associate Agreement — not "we're working on it."
- Documented encryption in transit and at rest.
- Access controls and audit logging so you can see who touched what.
- A clear data-retention and deletion policy, and a straight answer on whether
your data is used to train models.
Be precise about claims. The honest phrasing to look for is "HIPAA-aligned, BAA
available" — a vendor that overstates certifications it does not hold is telling you
something about how it will handle the next hard question, too. For a deeper walk
through testing without exposing PHI, see our companion piece on
HIPAA-safe AI therapy notes.
3. How editing and signing actually work
You will edit every note. So the editing experience is the product. Can you fix a
section without regenerating the whole note? Does it preserve your corrections? Is
there a clean review-and-sign step that keeps the clinician clearly in the loop? A
tool that makes editing painful quietly costs you more time than it saves.
4. Where the data lives
On-device or in-region processing, retention windows, and sub-processor lists
matter more than logos on a homepage. If you cannot get a clear answer on where a
session is stored and for how long, treat that as the answer.
5. Format flexibility
SOAP, DAP, BIRP, intake summaries, treatment-plan starters — your documentation
isn't one shape. The tool should match your formats rather than forcing you onto
its house style.
6. Pricing you can predict
Watch for per-minute transcription fees, per-seat minimums, and "contact sales"
tiers that scale unpredictably as you add clinicians. A flat, legible price beats a
cheap headline rate with metered surprises.
7. Fit with the workflow you already have
The best tool is the one your clinicians will actually open every day. If it adds a
second login, a separate app, and a manual copy-paste into your EHR, adoption dies
quietly within a month. Evaluate the whole loop, not the draft in isolation.
A concrete workflow: the 7-minute note
Here is a workflow one of our clinician users settled on for routine follow-up
sessions. It assumes a drafting-first assistant and a DAP format.
- During the session (0 min added): the clinician jots three or four shorthand
bullets in the moment — presenting concern, what was tried, client response.
Nothing structured, just anchors.
- Right after (2 min): they paste the bullets into the assistant with a saved
prompt that specifies role ("behavioral health clinician"), the DAP structure,
a length cap, and an instruction to flag anything the clinician should verify.
- Draft returns (instant): a labeled Data / Assessment / Plan note with
measurable plan items and any uncertainties bracketed for review.
- Review and correct (3 min): the clinician fixes the assessment language,
confirms the plan, and deletes the bracketed flags once resolved.
- Sign and file (2 min): the finished note goes into the record under the
clinician's signature.
Total: about seven minutes, most of it genuine clinical review rather than
typing. The point isn't the exact number — it's that the AI eliminates the blank
page and the after-hours pile-up, while the clinician still owns every clinical
judgment. That ownership is the part no tool removes: AI drafts, the licensed
clinician decides.
Red flags worth walking away from
- "100% accurate" or "no editing needed" claims. Every responsible tool expects
clinician review.
- No BAA, or vague answers about model training on your data.
- A demo that won't let you test on your own sessions.
- Pricing that can only be quoted after a sales call.
- Notes that read fluently but quietly invent specifics — confident, wrong drafts
are more dangerous than obviously rough ones.
How to run a two-week trial
Pick one tool, not five. Run it on a representative slice of your real week — at
least one intake, one routine follow-up, and one harder session. Track three
things: minutes per note end to end, how often you had to rewrite versus lightly
edit, and whether you actually reached for it without being reminded. At the end of
two weeks the decision usually makes itself. If you find yourself avoiding the tool,
that is the verdict, regardless of how good the drafts were.
Where PsyFi fits
PsyFi covers both modes. PsyFi Notes is the transcription-first
path: record the session (in the room, or over telehealth with the browser
extension), get a speaker-attributed transcript and a structured draft (SOAP, DAP, BIRP,
GIRP, or narrative — your choice per session) back for review and signature. PsyFiGPT is the drafting-first path:
a clinical assistant for behavioral health with saved prompts for your note
formats, a drafting panel that keeps the clinician in control, and the ability to
pull a finished session transcript into chat for a summary or treatment-plan
update. Both are HIPAA-aligned with a BAA on every paid plan; unlimited session
notes are included from the Clinician plan at $49/mo — see pricing.
You can start a trial on your own sessions before you commit to anything.
The honest bottom line: AI progress notes are ready to take the typing off your
plate in 2026, but only a tool that fits your real sessions, your compliance bar,
and your existing workflow will still be open on your screen next quarter. Evaluate
for that, not for the demo.
PsyFi Notes is HIPAA-aligned clinical documentation software backed by a Business Associate Agreement. For questions about evaluating AI progress notes for your practice, contact our onboarding team at [email protected].