RavanAI / ENTERPRISES Calculators / Hospitals & Health ← Back to Hospitals & Health
01
Your operation
02
Your numbers
03
Your impact
Step 01 · Set the context

Tell us about your healthcare operation.

Voice AI in healthcare creates value three ways: reception cost reduction, no-show recovery, and after-hours capture.

Provider type
Different provider types have different appointment economics.
Multi-specialty hospital
Mixed appointment values
Dental chain
High no-show, mid revenue
Specialty clinic chain
Cardiology, oncology, IVF, etc.
Primary care / GP
High volume, lower value/appt
Which impact tracks matter?
Pick all relevant. Stage 2 only shows inputs for what you selected.
Reception desk cost reduction
Replace or augment reception staff handling phone bookings.
No-show recovery
AI reminder + confirmation calls reduce no-shows 30-50%.
After-hours capture
Capture booking requests when reception is closed.
How many facilities / clinics?
All calculations scale per-site.
15

Single facility · Small chain (3-10) · Mid chain (10-40) · Large group (40+)

Step 02 · Plug in the numbers

Your current performance.

Defaults reflect provider-type benchmarks. Adjust to your reality.

Track · Reception
Reception & admin staffing
Your current front-desk / phone-handling staff.
4

Primary care: 2-4 · Specialty clinic: 3-6 · Hospital outpatient: 6-15

$

Reception/admin loaded cost varies sharply by region

55%

Booking, rescheduling, basic info are 60-75% automatable. Insurance/payment queries lower.

Track · No-show recovery
Appointment volume & no-show rate
The biggest hidden cost in healthcare ops.
80

Specialty: 30-60 · Multi-specialty: 60-150 · Primary care: 100-300

$

Primary care: $50-150 · Dental: $150-400 · Specialty: $200-1,500

20%

Industry: Specialty 10-20% · Primary 15-25% · Dental 20-30%

40%

Voice AI confirmations reduce no-shows 30-50% (vs SMS at 15-20%)

Track · After-hours
After-hours booking capture
Calls that hit voicemail today and never get returned.
12%

After-hours booking capture: 8-20% uplift in monthly appointments

If "No-show" is also selected, the avg revenue value is shared.

Agni model

Indicative rates for modelling. Final pricing depends on volume, languages and deployment scope, and is agreed in contract.

Two engines, one unified model each: voice in, voice out, nothing stitched together. Most deployments run both and split by call type.
Agni V3$0.05/min
Cost effective at scale. Routine volume, reminders, confirmations, campaigns.
Agni Premium$0.09/min
Most advanced. Deepest emotion and dialect registers, memory, custom API work.
Realisation rate · Year 1
Real deployments capture 55-75% of theoretical impact in year 1. Adjust to your appetite. The hero number on stage 3 reflects this.
65%

Conservative: 50-60% · Realistic: 60-75% · Aggressive: 80%+. CFOs respect a haircut over heroic numbers.

Step 03 · Projected impact

Here's what voice AI does for your healthcare network.

Healthcare ROI typically combines staff savings with no-show recovery, the latter is usually the bigger number.

Year 1 realistic impact
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Total annual impact
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Net of RE platform cost
Payback period
—
Including setup
Return on investment
—
Annual basis
Where the impact comes from
Reception staff savings
Staff released × loaded cost
—
—
No-show revenue recovered
No-shows prevented × revenue/appt
—
—
After-hours additional bookings
New appts × revenue/appt
—
—
RE platform & deployment cost
Minutes × $0.05 + setup
—
—
Total annual impact
—
The single sentence to send your CFO
—
No-shows prevented / year
—
Equivalent revenue recovered
—
Reception staff freed
—
Across — facilities
—
After-hours bookings captured
—
Additional appointments / year
Pure incremental
Next step
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