Healthcare Workflows on Cliniko, Powered by AI
Healthcare teams use Arahi AI to turn Cliniko into an automation engine. Connect in minutes, save hours every day.
Patient triage summary ready for nurse review:
Customer
“Coming in for a 3-week history of intermittent left-side chest discomfort, worse with effort, no radiation. No recent labs. Hx HTN, statin since 2019.”
Agent draft · in your tone
Triage summary: 64M with 3-wk exertional left-sided chest discomfort. Cardiac workup reasonable today (ECG + troponin + lipid panel · last A1C Jan 2024 = 5.8). Hx HTN well-controlled · statin compliant per pharmacy refills. No allergies. Recommend Dr. Choi see first.
How does Cliniko work for healthcare teams?
Cliniko works for healthcare teams as the engine behind an Arahi AI agent built around the workflows that actually consume your week. The agent reads context from Cliniko and the other systems your healthcare operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. Automate repetitive tasks and free up your healthcare team to focus on high-value strategic work. Teams typically see significant reduction in admin task time once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your healthcare team defines — not a generic template applied to your business.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect Cliniko
Authorize Cliniko in your Arahi AI dashboard. Projects, clients, and financial data sync instantly.
Define Business Workflows
Set up automation rules for Cliniko — project milestones, invoice events, or client status changes trigger AI actions. For healthcare teams, this typically means routing workflows from tools like Epic alongside Cliniko.
Run Your Business on Autopilot
AI handles the operational work inside Cliniko while you focus on growth. Track efficiency gains live.
Triage summary: 64M with 3-wk exertional left-sided chest discomfort. Cardiac workup reasonable today (ECG + troponin + lipid panel · last A1C Jan 2024 = 5.8). Hx HTN well-controlled · statin compliant per pharmacy refills. No allergies. Recommend Dr. Choi see first.
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Dean Wallace · 64M9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket Intake · MRN 84-4421.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged Intake · MRN 84-4421 as the matching topic.
Frequently asked questions
Yes. Arahi AI scales from solo operators to enterprise healthcare teams. Start with one Cliniko-powered automation for your healthcare workflows and expand as you see results — pricing and capacity grow with your healthcare business needs.
All data exchanged between Cliniko and Arahi AI during healthcare processing is encrypted in transit and at rest. We use OAuth for Cliniko access, maintain complete audit trails, and follow enterprise-grade security practices for healthcare compliance.
Most healthcare businesses see measurable time savings within the first week of connecting Cliniko. The AI agent starts processing healthcare tasks the moment you activate the Cliniko integration — no training period or warm-up required.
The dashboard shows healthcare-specific metrics for your Cliniko integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Cliniko-triggered healthcare automations perform and optimize over time.
Arahi AI uses Cliniko as a structured surface for the operational work behind prior-authorization and claim denial workflows that bleed revenue-cycle days. Instead of your healthcare team coordinating manually, the agent listens for the right Cliniko events, takes the next action, and escalates only when judgment is required — turning a recurring drain into a measurable workflow.
For healthcare teams, the highest-leverage automations on top of Cliniko target no-show rates and scheduling gaps that idle clinical capacity and the routine Cliniko-mediated work that surrounds it. An Arahi AI agent runs those flows continuously, captures the audit trail in Cliniko, and frees your team to focus on the cases that actually need human attention.
The Cliniko integration scales automatically with your healthcare operations. Whether your healthcare volume doubles from seasonal demand or business expansion, the AI handles the increased Cliniko workload without slowdowns or additional configuration.
healthcare businesses automating through Cliniko typically save 10-20 hours per week on manual processing. The dashboard tracks tasks completed, time saved, and error reduction so you can quantify exactly what Cliniko automation delivers for your healthcare operations.
Yes. You define exactly which Cliniko events start healthcare workflows — new records, status changes, form submissions, or custom triggers. Each trigger can have conditions so healthcare actions only fire when your specific Cliniko criteria are met.
Yes. You can run healthcare workflows in test mode using sample Cliniko data before activating on live records. This lets you verify every automation rule works correctly with your healthcare processes before it touches real Cliniko data.
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