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Mental Health & Therapy

AI Intake for Therapists -Cut Dropout Before Session One

Your 8-page intake packet amplifies the anxiety clients already feel. Static forms produce 47% unusable data. Therapists spend 12 hours per week on overhead instead of with clients. The paperwork that's supposed to prepare for therapy is preventing it from starting.

34.8%
mean therapy dropout rate - highest risk between intake and session one
24/7
Lead capture
5 min
Setup time
Free to start
5 min setup
No code
Getting Started

How It Works

Get up and running in minutes. No technical expertise required.

  1. 1

    Set Up Your Intake Agent

    Start with therapy-specific templates for intake, between-session check-ins, or post-session reflection. Customize for your practice's modality, specialties, and clinical needs.

  2. 2

    Clients Share at Their Pace

    Clients complete intake conversationally - on their phone, at their own pace, in a format that reduces anxiety. The AI adapts questions based on responses, collecting rich clinical data one step at a time.

  3. 3

    Structured Data for Your Practice

    Receive organized intake records, symptom scores, and between-session data ready for your EHR. Walk into every session prepared - without the paperwork.

Real Use Cases

How Businesses Use Gnosari

Real use cases powered by AI conversations instead of static forms.

  • Replace the 8-page intake packet with a warm, guided conversation. Gnosari asks about mental health history, current concerns, goals, and medications one question at a time - adapting based on responses. A real-world NHS study showed conversational AI intake doubled recovery rates and reduced assessment time by 12.7 minutes per patient.

    Captures Presenting Concern Duration Therapy History Medications Treatment Goals
  • Short conversational mood and symptom check-ins between sessions capture what happens in the days your client is not in your office. Structured PHQ-9 and GAD-7 data flows directly to the clinical record - enabling measurement-based care without adding to your workload.

    Captures Week Summary Mood Range Notable Event Homework Progress
  • Capture what clients want to remember from their session and track homework adherence. Research shows congruence between session takeaways and homework assignments is the strongest predictor of compliance - and no current EHR captures this.

    Captures Key Insight Homework Readiness Session Rating
  • For group practices and online platforms, conversational matching goes deeper than demographics and modality preferences. Capture severity indicators, trauma history context, and treatment fit signals - reducing the 14-17% first-match dissatisfaction rate.

    Captures Presenting Issue Severity Modality Preference Practical Needs

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Head to Head

Traditional Methods vs Gnosari

See how AI conversations compare to traditional data collection.

Intake Experience

Traditional8-page PDF packet that amplifies client anxiety
With GnosariWarm, guided conversation at the client's pace

Intake Data Quality

Traditional47% unusable data from standard online forms
With Gnosari97% clinical information completion with conversational AI

Dropout Before Session 1

Traditional20% drop out between assessment and first session
With Gnosari4.8 percentage point reduction demonstrated in NHS study (N=64,862)

Between-Session Data

TraditionalNothing - clients self-report verbally next week
With GnosariStructured mood and symptom check-ins feeding your clinical record

Weekly Admin Overhead

Traditional12 hours/week on documentation and admin
With Gnosari2+ hours/week recovered through automated intake and check-ins
Integrations

Connects to Your Therapists & Mental Health Stack

Gnosari integrates with the tools you already use, powered by MCP.

SimplePractice

Therapy EHR

Feed structured intake data from conversational collection directly into SimplePractice client records - replacing static portal forms.

TherapyNotes

Therapy EHR

Push client intake records and between-session check-in data into TherapyNotes for seamless clinical documentation.

Jane App

Practice Management

Sync conversational intake data with Jane App client profiles and appointment workflows.

IntakeQ

Intake Forms

Complement IntakeQ's form-based workflow with Gnosari's conversational layer for higher completion and richer data.

Common Questions

Frequently Asked Questions

Everything you need to know about getting started. Can't find the answer you're looking for? Reach out to our team.

Still have questions?

Our team is here to help you get started.

Gnosari is designed with sensitivity to the unique vulnerability of therapy clients. The conversational format lets people share at their own pace - one question at a time, with warm and non-clinical language. An NHS study of 64,862 patients showed conversational AI intake actually reduced anxiety around assessment and improved engagement. Gnosari does not provide clinical advice, make diagnoses, or replace therapeutic interaction - it collects information to prepare both client and therapist for productive sessions.

Explore More Industries

Related Industries

See how other industries use AI conversations to transform their data collection.

Replace the Intake Packet With a Conversation

Join therapists using Gnosari to collect better clinical data, reduce dropout, and reclaim hours lost to paperwork - through conversations that meet clients where they are.

No coding required
Therapy-specific templates
EHR-compatible
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