We built this for Vitura Health.
This isn't a slide deck. It's a working AI agent that handles patient questions about Canview pharmacy deliveries and books telehealth consults with Doctors on Demand prescribers — pulling live from a mock Vitura data layer. Try it below. The chat reads your real help-centre style content and the workflows match how a Vitura agent should actually behave.
The voice version of this agent runs on the same workflows and KB. In production it answers the Vitura main line 24/7 — handles order tracking, books consults by phone, reads order numbers and consult IDs digit-by-digit, and reassures patients when a script delivery is delayed.
How we built this
Honest version — no smoke. Here's exactly what's behind this chat:
Scraped your help centre
Crawled Doctors on Demand's public FAQs into the agent's knowledge base. The agent quotes from this when patients ask about how the service works, costs, and what conditions are treated.
Built workflows around your model
Wrote natural-language workflows for order tracking, booking a consult, and routing. The booking workflow quotes the booking back to the patient before submitting, and never narrates "let me check".
Connected mock Vitura tools
Wired in three mock tools — patient profile, recent Canview orders, book a consult — that mirror real APIs. In production these point at your real systems with PII handling we already do for our regulated subscribers.
Went live
Published all workflows to the live environment with guardrails active — knowledge gap handling, no-weak-uncertainty steering, and de-escalation for upset patients. This page talks to that live agent.
Want to build the real one?
This took us ~90 minutes with one engineer. Production with your real KB, real patient records, and the prescriber calendar integration takes a few weeks. We've done it for regulated healthcare subscribers across AU, US, and EU.
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