Week 1
After-hours only
Ivy live 6pm–8am
68% resolved
Fernhill
Call Insights & Impact
The audit Ivy was designed against — and the measurable result
All systems · live
Call-flow audit · 4 weeks of historic call data
62% of inbound calls fall into just 4 categories
Which is exactly the surface area Ivy was scoped to handle autonomously.
62%
automatable
Appointment booking24%
Confirmation / reschedule17%
Cancellation11%
Service / pricing enquiry10%
Other (clinical, admin, misc.)38%
Call timing peaks
Inbound volume by hour · 5pm–6pm peak + heavy after-hours tail
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
7p
8p
9p
10p
11p
Business hoursAfter-hours (Ivy)
No-show rate · before → after
Driven by smarter reminders and waitlist refills
Before
0%
After Ivy
0%
34% reduction
$0/mo
Recovered revenue
+0%
New patient bookings · 2 mo
0
New bookings · month one
0
Missed calls (was 40%)
Phased deployment · 2-week optimisation
Deployed after-hours first, then business-hours overflow
0%
autonomous resolution · end of week 3
Week 2
+ Business-hours overflow
Routes when team busy
84% resolved
Week 3
Full autonomous coverage
24/7 · 96% resolved
96% resolved
Pricing · setup
$3,500
One-time deployment, integrations and tuning
Pricing · monthly
$280/mo
Includes Voice AI, calendar + PMS integration
Team time
15 hrs/wk
Returned to the reception team for clinical work