Woman with head in hands, slumped at desk. Tissue and phone visible, white setting.
Therapist and patient in chairs, facing each other in a sunlit room, discussing.

You can't treat what you can't see.

Most crises don’t start in session. They build quietly between visits—unseen, undocumented, and expensive.

KayAI offers AI-driven support that monitors behavioral changes between therapy sessions, providing concise insights to improve care and reduce unseen crises.

Doctor in white coat talking to two women in a hospital hallway.

The problem (in numbers)

Mental-health care intervenes too late and too expensively. Between visits, people quietly drift toward crisis—subtle changes in mood, sleep, overwhelm, and connection go unseen; patients lack timely, humane support; providers get snapshots instead of trendlines; and the work they do between sessions is rarely documented. The result is avoidable ED visits, readmissions, no-shows, leakage, clinician overload, and uncontrolled cost.


Health systems need early, reliable visibility into emotional drift and a way to turn between-visit moments into timely action and clean, reimbursable documentation—before small struggles become high-acuity spend.

Woman in jeans and grey sweater sits on a bed, hugging her knees, looking down with a sad expression.

The need is massive, treatment is late.

1 in 5 U.S. adults experiences a mental health condition each year, yet fewer than half receive treatment; the average delay from first symptoms to care is about 11 years (CDC; NAMI).

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Costs are concentrated and avoidable.

A minority of members with behavioral conditions drive >30% of total health spending, and integrated medical-behavioral care shows substantial savings potential (American Psychiatric Association; Milliman).

ED is absorbing preventable demand.

Man and woman in ambulance, talking. Man looks concerned, woman holds his hands. Third person works in background.

Mental/substance-related ED visits total roughly 10.7M annually, with $5.6B in service costs (~$520/visit)—often reflecting late detection and poor continuity (AHRQ/HCUP).

Clinicians are buried in clicks.

Woman with curly hair, eyes closed, holding her head in her hands, appearing stressed.

Primary care physicians spend a median ~36 minutes of EHR time per visit (including inbox/pajama time), crowding out prevention work (JAMA Network Open).

Woman with head in hands at desk, stressed in office setting.

Workforce capacity is strained.

Widespread mental-health HPSA designations signal persistent access gaps; we cannot staff our way out with clinicians alone (HRSA).

Kay AI —Prevention that pays for itself.


Kay AI is a prevention-first layer that keeps patients engaged between visits and surfaces the right moments to act—without adding clinics or headcount. Patients complete 60–90 second A.M./P.M. check-ins and can message Kay, our AI companion, for just-in-time coping strategies. When risk trends up, providers see concise, high-signal alerts; finance sees attributable, documentation-ready activity.

Meet Kay.

Kay is an agentic, HIPAA-compliant AI that notices early behavioral drift from ~60-second AM/PM check-ins (and optional notes), then takes bounded, useful actions you control. Patients get one human-sized step at a time. You get concise pre-session snapshots and automatic monthly rollups that actually inform care and documentation.



  • Earlier course-corrections → fewer “how did we get here?” moments
  • Sharper sessions → less reconstruction, more intervention
  • Claim-ready artifacts → time-stamped, plain-English summaries that fit your workflow




The ROI


  • Cost avoidance you can see: Even modest drops in psych ED utilization/readmissions make the program net-positive at population scale.

  • Reimbursable activity, clearly attributed: Brief assessments and between-visit communications mapped to eligible codes; you control coding/attestation, we supply evidence.

  • Predictable spend: Transparent per-patient pricing and executive-level reporting—utilization, risk distribution, documentation volume, and estimated impact on high-cost events.



Features (that actually work)

Stopwatch icon.

AM/PM Check-ins (≈60s)

Quick prompts that power Kay’s reasoning. Notes are optional.


Smartphone with a speech bubble, indicating messaging.

Kay Chat

Ask anytime; get one doable next step with a plain-English “why.”


Magnifying glass with an exclamation mark inside a triangle, indicating caution.

Risk Awareness

Simple signals when things are shifting so you can act sooner.


Bar graph with upward trending line and arrow.

Trends & Insights

3- and 7-day views that highlight what’s helping—without noisy dashboards.


Open book icon.

Grounded in an evidence-based, multi-pronged approach

Kay’s library is built from CBT, DBT, Mindfulness, Motivational Interviewing, and Emotion Regulation.


Briefcase icon.

My Toolbox

Save what actually helps you—then Kay surfaces the right tool at the right time.


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Peer Support

Connect with people who “get it.” Not therapy—community and conversation.


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Provider Sharing

Link a clinician to share concise snapshots and monthly summaries. Unlink any time.


A chain link with sparkles, symbolizing connection.

Privacy Controls

HIPAA-compliant by design. No ads. No data sales. Export or delete any time.

Implementation (days, not months)

Upload one CSV. Kay does the rest. Download the template, add patient fields, and upload via the secure provider portal.

Patients populate with safe defaults—no alert routing trees to build and no cadence settings to tune.

Monthly reports and pre-session snapshots start automatically for each patient.

Optional when you’re ready: BAA for enterprise, SSO, webhook/PDF delivery.

Why leaders choose Kay

Signal, not noise

Actionable context, not another dashboard
Smiling man in white shirt at desk, working on computer in an office.

Less clicking

Patients check in; Kay organizes the story
Woman with glasses beside a phone displaying a

Practice-aware

Preferences + audit trail keep it consistent. Billable codes make it revenue sustainable.

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Privacy by design

HIPAA-compliant operations; private by default
Badge: HIPAA Compliant Seal, dark blue and white hexagonal design, three stars and one star,

Enhance mental health care with AI-driven between-visit support tailored for providers, health systems, and payers.