Go from description to working draft in minutes.
Describe your program and PathwAI generates a complete flow, steps, copy, and branching logic, for your team to review and refine.
Full flow draft
A complete journey from eligibility to checkout, not just a list of suggestions or a blank template.
On-brand copy
Patient-friendly question phrasing, instructional text, and step headlines matched to your program's tone.
Routing logic
Branching rules based on typical eligibility criteria for your program type, including disqualification paths.
Human review built in
AI generates; your team validates. Nothing publishes without explicit approval from your clinical or ops team.
Human-in-the-loop by design
AI-generated intake flows for health programs require clinical and legal review before going live with patients. PathwAI's generation workflow is designed to support that review. Every step, question, and routing rule is editable after generation, and nothing publishes without your team's explicit approval.
The value of AI here is not automation, it's acceleration. Getting a full draft in minutes means your clinical team reviews something real instead of writing from scratch, and your ops team iterates on structure instead of waiting for a developer to scaffold the form.
How generation works
A description becomes a reviewable draft in seconds. Your team controls what ships.
What the AI generates
A generation run produces a structured flow ready to open in the builder, not a checklist but actual content your team can evaluate immediately.
- Step structure
- Ordered steps with appropriate types: landing page, qualification questions, intake fields, consent, and checkout, sequenced based on the program you described.
- Patient-facing copy
- Question text, instructional copy, button labels, and outcome messages written in plain, patient-friendly language. Edit tone, terminology, and specifics to match your brand.
- Eligibility routing logic
- Branching rules based on typical eligibility criteria for programs like GLP-1, HRT, or mental health, including disqualification paths and edge-case handling.
- Intake fields
- Structured field sets for clinical history, demographics, and program-specific questions, matched to the program type rather than a generic form template.
- Consent language
- Suggested consent and disclosure text for common health program scenarios, always editable and subject to your legal team's review before use.
- Outcome paths
- Multiple outcome branches (eligible, ineligible, follow-up required) with appropriate next-step messaging for each path.
AI and safety in regulated workflows
Using AI to generate intake flows for health programs requires care. PathwAI's approach:
- Generation as a draft, not a final
- Every generated flow is explicitly a starting point. The UI communicates this clearly: you are reviewing a draft, not deploying AI output directly to patients.
- Clinical review responsibility
- Intake criteria, eligibility rules, and consent language should be reviewed by a qualified clinician or legal team before going live. PathwAI generates a structural starting point, not clinical guidance.
- No PHI in generation prompts
- Flow generation uses your program description, not patient data. No PHI enters the generation process.
- Full editability
- Nothing the AI generates is locked. Every piece of generated content is editable in the builder before and after publishing.
Common questions
How do I start a generation?
In the builder, use the AI generation prompt to describe your program: treatment type, target patient, key eligibility criteria, and what should happen at checkout. PathwAI generates a full flow draft based on that description.
Can I edit everything the AI generates?
Yes. Every step, question, piece of copy, routing rule, and field is fully editable in the builder after generation. You are never locked into the AI's output.
Does the AI learn from patient data or use PHI?
No. Generation uses your program description, text you provide describing the flow you want to build. No patient responses or PHI are used in the generation process.
Is generated consent language medically or legally vetted?
Generated consent language is a starting point based on common patterns for the program type described. It is not legal advice and should be reviewed by your legal and clinical team before use in a live flow.
Can AI help iterate on an existing flow, not just generate from scratch?
Yes. AI can suggest improvements to existing steps, rewrite copy in a different tone, or propose additional routing branches based on your program requirements.
See AI generation for your program type.
We'll describe a program like yours and show a live draft generated in the session, so you can see what your team would be reviewing.