Estimate demand
- •Average handle time × total calls = projected minutes.
- •Add 10–15% buffer for seasonality and promo spikes.
- •Map minutes to concurrency tiers (2, 4, 8+ simultaneous calls).
Finance KPI•Automation economics
AI Coverage Cost per Call
The flat per-call cost MedReception AI delivers once you translate per-minute pricing into concurrent volume coverage.
This KPI keeps stakeholders honest about AI pricing. It divides your projected AI minutes by the monthly platform fee to show how predictable coverage compares to staffing curves.
Expressed as dollars per call at 90 seconds average handle time.
Typical range
$1.40–$2.20 / call
Varies by concurrency tier and languages enabled.
Billing driver
Minutes · concurrency
Not tied to headcount, overtime, or temp agencies.
Cost breakdown
“Show your work” table
| Line item | Annual spend | Per-unit | Notes |
|---|---|---|---|
| Platform fee | $12,000–$24,000 | $0.80–$1.60/call | Depends on simultaneous call capacity purchased. |
| Usage minutes | $3,600–$6,000 | $0.30–$0.40/call | Metered minutes above the base tier. |
| Optional add-ons | $1,200–$3,000 | $0.10–$0.20/call | Languages, custom EMR hooks, specialty QA. |
Blend fixed + variable fees
- •Divide annual platform fee by expected call volume.
- •Layer in metered minutes above the base tier.
- •Include optional add-ons only if required by compliance/EMR scope.
Assumptions
What this KPI assumes
Average handle time
1.5 minutes per call once AI collects intent, verification, and disposition tags.
Concurrency tier
2–4 simultaneous calls for single-site clinics; 6–10 for multi-specialty groups.
Supporting proofs
Share with finance + ops partners
Model your AI coverage cost
We’ll plug your call logs into our usage estimator and produce a finance-ready projection.