Healthcare admin is one of the most expensive problems in modern medicine. Receptionists spend up to 60% of their day on calls that could be automated — appointment booking, reminders, pre-screening questions, and rescheduling. CareFlow was built to solve exactly this. Here's the full story of one deployment that changed everything.
The Client: A Mid-Sized NHS-Aligned Clinic Network
Our client — which we'll refer to as MedGroup for confidentiality — operates seven primary care clinics across the Greater London area, serving approximately 42,000 registered patients. Before CareFlow, their front-of-house team handled roughly 1,800 inbound calls per week, plus managing two-way SMS, online booking requests, and insurance pre-authorisation queries.
Staff turnover in the reception team was 34% annually — higher than the industry average — due to the high-pressure, repetitive nature of the work. The practice managers spent significant time recruiting and training replacements, adding hidden cost on top of direct salary expense.
What CareFlow Does
CareFlow is Auriforce's AI agent purpose-built for healthcare reception. It handles inbound voice calls and live chat across all channels, integrates directly with the clinic's practice management system, and manages:
- Appointment booking, rescheduling, and cancellation
- Automated appointment reminders with two-way confirmation
- Pre-screening intake questions before the patient arrives
- Common FAQs (opening hours, prescriptions, referrals)
- Escalation to a human receptionist when the situation requires it — and knowing when that is
The last point is critical. CareFlow is not designed to handle every call autonomously. It's designed to handle the right calls autonomously, and escalate intelligently when a human is genuinely needed. This distinction is what made the clinical and practice manager teams comfortable with the deployment.
The 90-Day Deployment Journey
Discovery & Configuration
Auriforce mapped all call types across two weeks of recordings. We categorised 94% of calls into 12 distinct intent types. CareFlow was configured to handle 9 of these autonomously; 3 were flagged as human-required (complex clinical queries, complaints, GP callbacks).
Integration & Testing
CareFlow was integrated with MedGroup's EMIS Health practice management system. 200 test calls were run with the reception team acting as callers, with real-time QA review. The escalation logic was refined three times based on team feedback.
Soft Launch — Two Clinics
CareFlow went live at two of the seven clinics, with human receptionists monitoring all calls in parallel. Escalation rate was 18% in week 5, falling to 9% by week 8 as the agent's intent recognition was refined against real traffic.
Full Network Rollout
CareFlow deployed across all seven clinics. By week 12 (day 84), the autonomous call handling rate had stabilised at 81%. Escalation rate at 8%. Patient satisfaction scores unchanged — and in two clinics, marginally improved due to zero hold time.
The Results at 90 Days
"We were sceptical that an AI agent could handle the nuance of patient calls. What surprised us most was that patients stopped noticing — they just got faster, more consistent service. The team now focuses entirely on the patients in front of them."
— Practice Manager, MedGroup (Greater London)
What Didn't Change — By Design
CareFlow did not replace any clinical staff. It did not reduce the number of human receptionists. What changed is how receptionists spend their time: instead of handling 1,800 inbound calls per week, they now handle 340 escalated interactions — every one of which genuinely requires human judgement. Staff reported higher job satisfaction and lower stress. The turnover rate fell to 11% in the following six months.
What Healthcare Organisations Should Know
CareFlow works because it was built specifically for healthcare — it understands clinical terminology, handles sensitive patient data in GDPR compliance, and knows when to defer. Generic chatbot deployments in healthcare fail because they can't reliably detect when a patient's query needs clinical escalation. CareFlow's escalation intelligence is the key differentiator.
If you're evaluating AI reception for a clinic, GP practice, or hospital network, the question to ask any vendor is simple: "Show me exactly how your agent handles an edge case it doesn't recognise." The answer tells you everything about whether the system is production-ready.
Running a clinic, hospital, or healthcare network?
Talk to our healthcare AI team about deploying CareFlow in your organisation. We'll map your call types and give you an honest projection of what's automatable.
Talk to the Healthcare AI Team