Phony.ai

Before signing a voice agent contract, most buyers skip one critical step: running the actual math on their own call data. This episode walks through the exact inputs needed to build a reliable monthly minutes estimate — no guesswork required.

Show Notes

Signing a voice agent contract based on a demo and a rate card is how buyers end up surprised by month-one invoices. This episode of Phony.ai walks through the arithmetic that sits between a vendor's per-minute rate and what a business will actually owe — grounded in the full guide to estimating voice agent monthly minutes. If you have a call log and ninety minutes, you have everything you need to build the estimate before you sign.

Here's what the episode covers:

  • Start with 90 days of call data. Pull four columns from whatever system the front desk already uses — timestamp, direction, duration, and outcome — then split the file into three buckets: business-hours inbound, after-hours inbound, and outbound confirmations. Never blend them into a single average.
  • Average handle time is the biggest lever. A dental front desk averaging 3.2 minutes per call across 420 monthly inbound calls bills 34% more minutes than the same volume at 2.4 minutes. At twelve cents a minute, that's a $40 monthly swing driven entirely by how promptly the agent wraps up after a booking is confirmed.
  • Four inputs do most of the work. Monthly answered call count (not offered — answered), per-bucket handle time, handoff rate, and retry/callback behaviour. Each is weighted separately; collapsing them inflates or deflates the estimate in ways that only become visible on the invoice.
  • After-hours share is the most underweighted input. A business with zero after-hours coverage today has zero after-hours minutes in its current log — but a 24/7 AI system will generate hundreds of new billable minutes there, alongside the new revenue those calls can capture. Both sides of that equation belong in the budget. For businesses like roofing companies or dental practices managing appointment scheduling around the clock, this line item can be the largest single variable in the estimate.
  • A worked example ties it together. A two-location dental practice with 1,180 answered inbound calls, 240 abandoned calls, and 95 manual outbound confirmations lands at roughly 3,896 billable minutes per month — about $467 for the AI layer before carrier cost. Sensitivity testing shows how a tighter prompt, a high handoff rate, or adding after-hours coverage each shift that figure.
  • Billing increment math matters. Per-minute rounding on a workload with short calls can inflate invoices by 30–50% at an identical headline rate compared with per-second billing. The rate card number and the effective rate are not the same thing.

The full estimation framework, including the bucket breakdown and sensitivity table, is in the source article linked above. If you're weighing a platform switch alongside this financial exercise, the episode How to Switch Voice Agent Vendors Without Losing a Number or a Booking picks up where this one leaves off.

Phony.ai

What is Phony.ai?

AI phone and voice agents, explained through the constraints that actually decide whether one works: end-to-end latency and where it comes from, interruption and barge-in handling, telephony plumbing and call control, transfer design, and the disclosure and recording rules around automated calls.

Each episode takes one design decision and works through it concretely — provider-neutral, comparing approaches rather than selling one. Written for teams evaluating, buying or building voice AI who need to know what breaks before it breaks in production. Five or six minutes an episode.

Topics include end-to-end latency and where it comes from, barge-in and interruption handling, telephony and call control, transfer and escalation design, prompt and turn design, evaluation and call review, and disclosure, consent and recording rules.

Produced by Phony.ai, provider-neutral AI phone and voice agents. Full details, services and further reading at https://phony.ai