for Coviu
Built around what clinicians actually ask between consults — why did my session lag, resend a join link, enable AI Scribe, add a clinician, sort out the EMR integration — the agent diagnoses and actions, without ever crossing into clinical advice.
Loaded with dummy data for a fictional GP — Dr Lara Park at Northcote Family Practice, on the Coviu Clinic plan.
Click any prompt to copy it.
AI support that understands video infrastructure, clinical workflows, AI Scribe, EMR integrations, and the way 100,000+ Australian practitioners use Coviu every day.
Reads packet loss, jitter, and dropout telemetry from the session to figure out which side had the issue — patient-side network, clinician-side VPN, or Coviu media servers.
Shows who's currently in the clinician's waiting area, resends join links when patients can't find the SMS, and walks through branding the waiting message.
Toggles AI Scribe on or off, swaps templates (SOAP, allied health, mental health), explains consent flow, and grounds privacy answers in real Coviu policy.
Adds new clinician seats end-to-end — captures name, email, profession, sends the invite, and explains the seat-cost change before committing.
Diagnoses Best Practice, Medical Director, Cliniko, Google Calendar, and Stripe connection issues — and walks through the reconnect when needed.
If a clinician reports a patient disclosing risk during a session, the agent surfaces Lifeline, Beyond Blue, and 000 calmly — and stays out of clinical advice the rest of the time.
Wired up specifically for Coviu's Australian clinician base.
Pulled the live help.coviu.com knowledge base into Lorikeet and grounded answers in your real product terminology.
Eight topic-matched workflows — call quality, waiting area, AI Scribe, billing, integrations, admin, plus small talk and an open-conversation fallback.
Ten mock tools — clinician profile, recent sessions, call quality telemetry, waiting area, billing, plus write actions for invites, AI Scribe, and clinician seats.
Three STEER guardrails — no clinical advice, AU crisis-line surfacing, and tight Coviu scope — plus voice rules and identity-gate pattern before sensitive lookups.
From this demo to production in weeks, not months.
Replace dummy data with real clinician records, real session telemetry, and the real Coviu help knowledge base. Tighten the agent on real clinician conversations.
Session lookups, waiting area visibility, call quality telemetry, billing reads. The agent answers and diagnoses without touching anything in production.
Resend invites, toggle AI Scribe, add clinician seats, update branding. Enable progressively once you've validated read-only behaviour.
Add voice and email. Same workflows, same brand voice, every touchpoint a clinician reaches for — chat widget, support email, and a real Australian phone number.
Lorikeet is built for businesses handling sensitive clinical data — AU privacy and data residency are non-negotiable.
Multi-region deployments. Australian patient and clinician data can stay in AU. Pick the jurisdiction that suits your privacy posture.
Phased API access — start read-only, enable write-back when you're ready. The agent only sees and actions what you've explicitly authorised.
Security docs, sub-processor list, vendor questionnaire, and DPIA available on request — we can share access with your compliance reviewer.
Clinicians get a clear "your side / their side / our side" answer in seconds, instead of waiting for a support email. The same diagnostic question doesn't burn 30 tickets a week.
The agent handles the top 60-70% of clinician questions — invites, AI Scribe, waiting area, billing, EMR reconnects — so your team focuses on the genuinely complex cases.
Clinicians running evening telehealth get instant answers without waiting for support. Same accuracy at 8pm Sunday as at 10am Monday.
The agent never diagnoses, recommends treatment, or comments on the clinician's clinical decisions. Built for healthcare, by design.
Deploy with the Coviu brand and voice. The agent represents your product, not a third-party chatbot.
Handle 3x the practitioners without growing the support team. The AI grows with your customer base.
Happy to walk through how this works in production and answer any questions.
Talk to the team