Executive summary
Executive Summary: The Financial Case for an AI Receptionist
If your phones ring when staff are busy, you’re leaking revenue. MedReception AI is designed to stop that leakage — without adding headcount.
1 AI receptionist ≈ call capacity of 2–2.5 staff; no holds, no voicemail.
Flat, predictable operating cost vs. $52–65k fully loaded per human FTE.
Example: 20 missed calls/day, 2 lost patients/day at $200/patient.
Headline economics
- •1 AI receptionist ≈ call capacity of 2–2.5 staff
- •Cost ≈ 25% of one human receptionist
- •Coverage = every call, every time (no holds, no voicemail)
In practical terms, one AI receptionist delivers multi-staff coverage at a fraction of the cost — without turnover, overtime, or training cycles.
What missed calls actually cost
- •5–15% of missed calls never come back; new patient calls are most likely to abandon.
- •PCP patient value: ~$150–$300/year; specialist episodes: ~$750–$3,000+.
- •Example: 20 missed calls/day, 2 lost patients/day at $200 = ~$96k/year lost revenue.
Lost revenue from abandonment alone often exceeds the cost of AI coverage.
Where owners see immediate savings
- •Fewer front-desk hires and temps.
- •Reduced overtime and agency markups (often 25–40%).
- •Lower burnout and turnover (replacement ~$5k–$10k per role).
- •Predictable, flat operating costs instead of variable chaos.
Why this compounds over time
- •Staff handle more without burnout.
- •Calls convert instead of spilling to voicemail.
- •After-hours calls stop leaking to competitors.
- •Growth no longer requires linear staffing increases.
AI reception doesn’t just cut costs — it stabilizes operations and protects revenue.
Bottom line
Most practices don’t adopt MedReception AI to “save on staff.” They adopt it because the revenue recovered from missed calls alone often pays for it multiple times over.
Next steps
- •Estimate how many calls you miss per day.
- •Multiply by conservative patient value.
- •Compare that to AI coverage cost — the math usually speaks for itself.