Case study
An always-on AI voice companion for Greater Change Health - live spoken conversation for reflection and support, with a built-in safety net back to a real therapist.
Delivered with our partnerHenge 
Project overview
Nora gives Greater Change Health's clients a calm, voice-first space to talk through how they're feeling between sessions. People choose a mode, Calm Support, Anxiety Relief, Relationship Reflection, Daily Check-In, or Crisis Mode, and talk to Nora directly, with visible Listening, Thinking, and Speaking states so the conversation feels responsive rather than robotic.
The challenge
A mental-health voice product can't rely on one vendor's uptime, and it can't pretend to replace a licensed therapist. Greater Change Health needed a product that felt genuinely conversational in real time, remembered context across sessions, and knew exactly when to step back and hand off to a human.
What we did
We built Nora with two interchangeable conversation engines: a managed ElevenLabs Conversational AI agent for full-duplex speech-to-speech, and a custom fallback pipeline (browser speech recognition, OpenAI for the response, ElevenLabs for voice) so the product isn't dependent on a single vendor. An Emergency / Exit panel surfaces crisis resources at all times, and a talk-to-a-human action opens real booking with a Greater Change Health therapist.
Product details
A managed ElevenLabs conversational agent and a custom OpenAI plus ElevenLabs fallback, so the product isn't dependent on a single AI vendor.
Per-user memory carries context across sessions and feeds back into the conversation, instead of starting cold every time.
A persistent Emergency / Exit panel with crisis resources, plus one tap to book a real Greater Change Health therapist.
A ten-minute free voice allowance is enforced in the product itself, with the upgrade path already wired in.
The Results
The first version stored users and sessions as flat JSON files, which works on a VPS but not on Cloudflare's stateless Workers. Migrating to Cloudflare meant replacing that datastore with D1, covering users, sessions, therapist assignments, the knowledge base, and feedback, while the existing JWT-based auth needed no changes, since it was already Worker-compatible.
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