AI Built for Mental Health Practices

The AI is trained with trauma-informed communication principles and uses warm, non-judgmental language throughout every interaction. It never diagnoses, labels, or minimises a caller presentation. Intake questions are asked progressively, with appropriate acknowledgment between responses. The system is designed to make callers feel heard and supported while gathering the clinical information your practice needs. All conversation scripts are reviewed by registered psychologists before deployment.

Crisis detection is built into every layer of the system. If a caller expresses suicidal ideation, intent to self-harm, or acute distress, the AI immediately activates the crisis protocol: it provides the caller with Lifeline (13 11 14) and the Suicide Call Back Service (1300 659 467), stays on the line to confirm the caller has support, and simultaneously sends an urgent alert to your designated clinician with a full conversation summary. The crisis protocol is configurable per practice and aligned with AHPRA and APS guidelines for risk management.

Yes. The system is designed in consultation with registered psychologists to meet AHPRA record-keeping requirements, the Psychology Board of Australia Code of Ethics, and the APS Ethical Guidelines. All client interactions are logged with timestamps, and data handling complies with the Privacy Act 1988, Australian Privacy Principles, and the My Health Records Act 2012 where applicable. We provide documentation to support your practice compliance audits.

The system guides clients through the information required for Mental Health Treatment Plans (Medicare Better Access), NDIS plan-managed and self-managed billing, and private health fund claims. It can verify whether a client has a current Mental Health Treatment Plan and GP referral, check remaining Medicare-subsidised sessions, and collect NDIS plan numbers and support coordinator details. This information is pre-populated for your billing team, reducing administrative errors and claim rejections.

During intake, the AI collects presenting concerns, preferred therapist gender, modality preferences (CBT, ACT, EMDR, psychodynamic), availability, and any specific requirements such as LGBTQIA+ affirming practice or cultural background preferences. It then matches against your clinician profiles — which include specialisations, availability, and caseload capacity — and suggests the best-fit therapist. If multiple clinicians are suitable, it offers the client a choice. Matching criteria are fully configurable by your practice.

When all clinicians are at capacity, the AI adds the client to a prioritised waitlist based on acuity, presenting concern, and time waiting. It sends regular status updates so clients feel supported during the wait. When a cancellation or new availability opens, the AI contacts waitlisted clients in priority order and books them in. This reduces dropout rates during the wait period, which is critical for client safety and practice revenue. Urgent presentations are flagged immediately for clinical review.