FeaturesPricingAboutContactSign InTry Free SessionThe Supervisor Console turns hours of self-reported supervision into structured review of what trainees actually did. Your trainees practice with AI clients; your supervisors see every session, annotate the moments that matter, and give targeted feedback — without adding headcount.
Most “clinical supervision software” counts hours and collects signatures for licensure. That matters — but it tells you nothing about the session itself. The Supervisor Console is built for the part no logging tool touches: reviewing the real clinical work and helping your supervisors act on it.
A supervisor carrying 24+ supervisees has only a few minutes per trainee per week. Individualized case review for everyone simply doesn’t fit in the hours that exist.
Many licensure boards cap how many supervisees one supervisor can carry. You can’t scale case review by piling more trainees onto the people you have.
Traditional supervision runs on the trainee’s own account — and the hardest moments are exactly the ones that don’t get raised. The blind spots stay blind.
Realistic voice sessions with AI clients — anxiety, grief, resistance — 24/7, before and between real placements.
Every session is captured, transcribed, and scored. Supervisors annotate transcripts and leave a rating and feedback — async, on their schedule.
Trainees get specific, per-session feedback — then practice the exact skill again. The loop tightens with every cycle.
Drop inline comments on the exact line where a session turned.
An AI quality score, plus your own star rating and feedback.
Review through 9+ framework-specific lenses, so feedback maps to what you actually teach — not generic “you sounded empathetic.”
The qualitative “here’s what to work on,” tied to the specific session.
Encrypted & FERPA-conscious; the client mix is co-developed with your team.
Assign AI clients matched to your curriculum. Trainees run full sessions, 24/7.
→Each session is captured, transcribed, and auto-scored across the rubric.
→Annotate the moments that matter, leave a rating and feedback.
→They get specific feedback, practice the exact skill again, and improve.
To give each trainee 30 minutes of individual review a week, you would need about 8 supervisors — 4 more than you have. Hiring that isn't realistic. Closing the loop is.
Illustrative model. Supervisor caseload and board supervision caps vary by state and licensure board — this is a directional view of the bandwidth gap, not a compliance calculation.
Document practicum readiness and supervise across CACREP competencies — without more practicum sites or adjunct hours.
For programsGet interns ready before their first real client and supervise cohorts placed across many sites — from one console.
For agenciesTrain associates and new hires for real acuity, document competency, and scale supervision across a CCBHC or CMHC team.
For CCBHCs & CMHCsMake the associate model scale — faster ramp-to-productivity, more supervisor leverage, and lower churn.
For group practicesBuild readiness for the hardest cases on scenarios your clinical team controls — without rehearsing on vulnerable clients.
For trauma programsSupervise interns placed across many schools from one console — consistent, documentable readiness at every site.
For school programsSofiaHelp was built by practicing therapists and guided by senior clinical advisors. Every AI client is authored by clinicians — not generated at scale — so the sessions your trainees practice, and your supervisors review, behave like real people. That is why the supervision modalities are framework-specific, not generic “you sounded empathetic” feedback.
No. Hour-tracking tools prove that supervision happened — they log dates, signatures, and totals for licensure. The Supervisor Console is about clinical case review: it shows what a trainee actually did in a session, lets supervisors annotate the moments that matter, and scores competencies. It complements a logging system; it does not replace one, and it is not a compliance product.
No — it multiplies the reach of the supervisors you already have. Trainees practice with AI clients before and between real sessions, every session is captured and scored, and your supervisors spend their limited hours reviewing the moments that matter instead of relying on a trainee’s self-report. The clinical judgment stays human.
Simulators give trainees realistic practice. The Supervisor Console adds the other half of the loop: your supervisors see exactly what happened in each practice session and give targeted feedback. SofiaHelp includes both — practice and supervisor review — built for pre-licensure training. See our honest comparison at /blog/sofiahelp-vs-simcare-ai.
Those tools analyze real sessions with real clients, mostly for post-licensure community behavioral health and documentation. SofiaHelp is a safe practice sandbox for pre-licensure trainees: they build skills against AI clients first, so the console reviews practice — not live patient care.
Institutional pricing is a custom quote based on how many trainees you supervise and the usage quota you want — there is no fixed per-trainee price. Individual plans are public ($0–$89/month) if you want to try the practice side first. Book a walkthrough and we will scope it to your cohort.
Yes. Session data is encrypted. Supervisors review the practice sessions trainees complete in the program, and directors see aggregate engagement and progress across the cohort. The architecture is FERPA-conscious, and the client mix is co-developed with your clinical team.
See the Supervisor Console with your own cohort in mind. A 30-minute walkthrough, scoped to how you train — no commitment.