Send a private intake link when you want Elah to gather context before the session.
ELAH AI INTAKE
Intake should feel like a conversation.
Elah guides your client through a private conversational intake before the session, helping you understand the goal, obstacles, motivation and relevant context before you meet.
Less time gathering the story. More time working with it.
"What would you most like to change?"
Listening...
BEFORE THE SESSION
Give the client room to tell you what matters.
Instead of asking a client to complete a long static form, Elah conducts a guided voice conversation that can respond to what the client actually says.
The client responds naturally by voice while Elah guides the conversation through the intake.
The completed conversation becomes practitioner-facing context you can review before deciding what matters.
ASSESS FIT FASTER
Spend less time gathering the story. Use consultation time where it matters.
Free consultations can consume a significant amount of practitioner time, especially when the first part of the call is spent gathering information that could have been collected beforehand.
Elah gives you structured client context before the consultation so you can review the inquiry, consider whether it appears appropriate for your services and decide what should happen next.
Instead of immediately scheduling a long information gathering call, you can invite them to complete the conversational intake first.
The client describes the goal, relevant circumstances, motivation, obstacles and other information that can help you understand the inquiry.
Review the completed intake and use your professional judgment to decide whether the inquiry appears appropriate for your services and within your scope of practice.
When a consultation or session is appropriate, you can begin with an understanding of the client instead of starting from a blank page.
Elah does not determine scope or suitability for the practitioner. It gives you information earlier so you can make that decision more efficiently.
The consultation becomes a decision point, not an information-gathering exercise.
THE CLIENT EXPERIENCE
Guided enough to stay focused. Natural enough to feel human.
The intake is designed as a hands-free conversation. Clients listen, respond and continue through the experience without navigating pages of questions.
"What would be different if this problem was no longer getting in your way?"
Clients can answer in their own words and at their own pace rather than reducing their experience to boxes on a form.
Elah can clarify, deepen or redirect within the structured intake flow based on what the client actually communicates.
This is not a hypnosis session. It is an intake experience designed to help the practitioner understand the case before meeting the client.
STRUCTURED CONVERSATION
More than answers. Context around the answers.
Elah guides the conversation through a structured intake so the practitioner can review several dimensions of the client's experience together rather than as isolated form responses.
AFTER THE INTAKE
The conversation becomes practitioner context.
When the intake is complete, you can review the conversation, generate practitioner-facing analysis and decide whether to connect the intake to an existing case.
Elena
Motivated and reflective, with tension appearing most strongly around the anticipated situation.
Strong desire for greater control and confidence, with repeated concern about overthinking.
Repeated phrases and metaphors can help the practitioner understand how the client is representing the problem.
Return to what the client actually said rather than relying only on an automated summary.
Generate structured practitioner-facing observations from the completed intake.
Link the intake to the client case so it becomes part of the continuing practitioner workspace.
AI, GUIDED BY HUMAN WISDOM
Elah prepares. You interpret.
AI Intake is designed to help practitioners arrive with more context. It does not decide the treatment, diagnose the client or replace practitioner judgment.
The practitioner remains responsible for interpreting the intake, deciding what is relevant and choosing what happens next.
AUDIO EXPERIENCE
Personalized hypnosis audio. Designed to scale.
Audio Experience is a specialized Elah Intake module designed for practitioners who create hypnosis audio files.
It gathers the client-specific information needed to inform a highly personalized audio experience without requiring a live practitioner session before every order.
A conversation designed for personalization
Elah asks for the information the practitioner needs to understand the individual behind the audio request.
The outcome or experience the client wants the personalized audio to support.
Client language, descriptions and meaningful phrases can help make the finished experience feel more personally relevant.
Understanding the meaning behind the goal gives the practitioner richer context for personalization.
The intake gathers information that can help the practitioner shape the audio around the individual.
The intended internal experience becomes part of the practitioner brief for creating the audio.
Create a personalized product without the need for a live session with every order.
Audio Experience gives practitioners a way to offer personalized hypnosis audio at scale beyond traditional one-to-one sessions.
A scalable product. An additional practitioner revenue stream.PRIVACY BY DESIGN
Gather context without building a client contact profile.
Elah is designed to minimize unnecessary client identity exposure while still giving practitioners useful case context.
The intake workflow does not require storing client email addresses, phone numbers or last names as part of the case record.
Voice is processed during the conversational intake, but the client's audio is not retained as a stored session recording.
Client information is not used to train Elah's underlying AI models.
EXPERIENCE THE CONVERSATION
See what intake can feel like when the form disappears.
Try the Elah AI Intake experience before deciding how it fits into your practitioner workflow.
Try the AI Intake