Assumptions and limits
This model is deliberately narrow. It values time and direct cost only. It does not price quality improvement, customer satisfaction, risk reduction or revenue lift, because those need evidence from your own operation.
Adoption is the most common source of error. A system that works in a pilot rarely hits its full share on day one. For planning, assume a ramp and test the conservative case.
The model also ignores integration difficulty. Two systems with the same name can differ enormously in effort. List each integration and its owner before you commit budget.
Finally, the figures are not a quote. They are a planning tool. Use them to frame a conversation, then get a scoped proposal based on your actual systems and workflows.
Questions about AI Receptionist Cost Calculator
How does the calculator compare cost?
It compares the full human cost of covering a call volume with the combined cost of an AI voice agent and residual human handling.
This is fairer than comparing a wage against a subscription, because an AI system rarely handles 100% of calls. Someone still handles complex or sensitive conversations.
What share can an AI receptionist handle?
Handling share depends on call type, script quality and escalation design. Routine bookings and FAQs often automate well; complex cases need a human.
A sensible planning range is 40% to 70% for mixed call traffic. Use the lower end if most calls involve judgment, account changes or upset callers.
Why is setup amortised over 12 months?
Spreading setup over a year makes the monthly comparison fair, because a one-off build cost would otherwise distort a single month.
If you expect the system to run for several years, amortising over a longer period is reasonable. For conservative budgeting, keep the 12-month view.
Does this include quality risk?
No. The model compares cost only. It does not price the risk of a poor caller experience.
Before deciding, test the voice agent on real calls, measure transfer rates and caller satisfaction, and keep a clear human escalation path.
When is a human receptionist still better?
A human is better when calls need empathy, complex judgment, account authority or a personal relationship the business depends on.
Cost is not the only criterion. If most calls are high value or sensitive, the model will show a small saving, and that is the correct signal to investigate rather than to automate aggressively.