Use your own call volume, close rate, and customer value to model the revenue at risk — then compare it with a managed AI receptionist plan.
Choose your industry to load a conservative, editable example and see where the reliable inputs should come from. Then replace it with real numbers from your phone log, booking system, CRM, and sales records.
Industry selection now changes the example values and recalculates the model. Every value remains editable.
Medical: phone-system missed-call reports, completed appointment data from your scheduler, and collected revenue per new patient from billing records.
A healthcare starting scenario built from published call-handling guardrails. Dollar value, raw call volume, and recovery remain editable planning assumptions.
At these inputs, potentially recoverable customer value is 6.4× the monthly plan fee.
Request a Setup Review →Qualified setup review · Final scope and fee confirmed before work begins
The model does not pretend to know your business. It shows exactly which internal numbers to use, how they are combined, and what the estimate leaves out.
The strongest scenario comes from your own systems, not a broad industry headline.
Missed calls × close rateCustomers at risk × average customer valueRevenue at risk × recovery assumption(Monthly recoverable customer value − monthly plan fee) × 12Every plan combines a configured AI receptionist with ongoing management. Choose capacity based on connected call time and carrier-billed SMS segments.
Choose a business type to load an editable workload example, or enter a typical month from your own records. The advisor checks minute and SMS capacity plus the minimum workflow needed for booking, routing, or intake; it does not estimate revenue.
Medical example: 160 inbound calls, 3.5-minute average, 70% AI coverage, 240 SMS segments, and 15% peak buffer. These are sizing assumptions, not an industry average.
Plus provides room for a typical month and the selected peak buffer. Confirm with 30–60 days of actual usage.
For low-volume businesses that need reliable overflow or after-hours coverage.
For active service businesses that need booking, transfers, and faster follow-up.
For teams with heavier call traffic, qualification steps, and multiple workflows.
For high-volume teams needing deeper routing, reporting, and optimization.
Implementation covers workflow discovery, approved business knowledge, phone and routing configuration, standard calendar or CRM connections, test calls, and a guided launch review. Complex integrations, multiple locations, outbound campaigns, payment capture, or regulated requirements are scoped separately.
The receptionist works inside an approved scope: answer, identify intent, collect details, book or route, document the call, and escalate when a person is needed.
Business information, approved FAQs, hours, services, and policies are configured and tested before launch.
Routing rules define when to schedule, when to transfer, and when to collect details for human follow-up.
Contact details, intent, summary, outcome, and next step can be stored and sent to the right team member.
Industry selection loads a conservative planning example. Published call-handling research sets broad guardrails, while customer value, raw call volume, AI coverage, SMS volume, peak buffer, and recovery remain editable assumptions. For a decision-quality model, replace them with your own call log, CRM or booking history, and sales data.
No. It is an educational planning estimate. Answering more calls can create more opportunities, but actual bookings and revenue depend on lead quality, demand, pricing, staff capacity, follow-up, and many other factors.
Call usage is based on connected time and may be rounded to full minutes under carrier billing. SMS is billed by segment, not simply by the number of messages. Long messages, special characters, or emojis can create multiple segments.
Standard overage is $0.25 per additional AI receptionist minute and $0.06 per additional SMS segment. We review usage and can recommend a higher-capacity plan when repeated overages make an upgrade more economical.
Usually, yes. Calls can often be forwarded to the AI receptionist, or number-porting options can be reviewed. The final setup depends on your carrier, current phone system, transfer rules, and desired call flow.
It is designed to handle a defined first-response role, not every situation. Complex, sensitive, regulated, billing, technical, or judgment-heavy calls should be transferred or documented for a qualified person.
One-time implementation starts at $499. Any carrier registration, special compliance, regulated-industry, international, multi-location, outbound, payment, or custom integration cost is disclosed and approved before launch.
Only after a separate requirements and compliance review. Standard plans do not automatically include HIPAA or other regulated-industry requirements, legal review, special data handling, or consent configuration.
Yes. Every paid implementation includes guided test calls and a launch review inside the approved scope before the receptionist goes live. This is a managed acceptance process, not a public free trial. Implementation work, usage, and third-party costs remain subject to the approved scope and Nishstudios Refund Policy.
After scope approval, we configure the receptionist around your approved business information and real call scenarios. Guided test calls and your launch review happen before it answers customer calls.
Request a Setup Review → Managed implementation from $499 · Test-call review included · No revenue guarantees