MKN AutomateSYSTEMS, AI & BUSINESS AUTOMATION
Never let a busy phone become a missed opportunity. Explore AI-powered call handling that can answer routine enquiries, capture customer details, support bookings and help your business stay accessible beyond working hours.
Tailored to your processes. Connected to your systems. Designed to work alongside your team.
New Zealand based. Working worldwide.
Routing can send a caller directly to your team. Not every call is handled by AI.
PRACTICAL CALL HANDLING
An AI phone receptionist is a voice-powered assistant that can answer incoming business calls, understand spoken requests and respond using approved business information.
Depending on its configuration, it may help customers book appointments, capture enquiries, answer routine questions, direct calls to the right team or retrieve information from connected systems.
Unlike a traditional recorded message, a conversational AI voice agent can respond to what the caller says.
However, not every enquiry needs artificial intelligence. A practical solution may combine a standard phone menu, direct transfers, AI assistance and human support.
The goal is not to automate every conversation. It is to make business communication more accessible, efficient and reliable.
MKN Automate provides tailored business analysis, solution design, configuration and integration using suitable third-party technologies. We do not operate a proprietary AI telephone platform.
POTENTIAL APPLICATIONS
Help customers make booking enquiries, check availability and arrange appointments or reservations when connected to a suitable booking system.
Examples: Restaurants, cafés, bars, beauty salons, spas, dental practices, fitness studios, hotels and car servicing.
Understand the reason for a call and direct it to the appropriate person, department or workflow. Routing may combine standard phone menus, rules and AI intent recognition.
Examples: Sales, support, accounts, bookings and complaints.
Handle eligible enquiries when staff are busy, unavailable or outside normal business hours.
Examples: Trades, property management, maintenance and professional services.
Collect relevant enquiry information and organise leads for follow-up.
Examples: Real estate, construction, home services and B2B services.
Answer routine questions using approved business information.
Examples: Opening hours, locations, services, booking policies and common customer enquiries.
Help callers obtain information about orders, deliveries or service requests when suitable integrations are available.
Examples: E-commerce, logistics, repairs and equipment servicing.
Capture relevant call details and create structured enquiries, callback requests or tasks when integrated with appropriate systems.
Examples: CRM, helpdesk and business workflow systems.
These are potential applications, not a promise that every capability is available in every configuration. Features depend on the selected technology, integrations, business processes and applicable requirements.
BEFORE & AFTER
| Before | With an AI Phone Receptionist |
|---|---|
| Calls may go unanswered when staff are busy. | Eligible calls can be answered when staff are unavailable. |
| After-hours enquiries may be missed. | Customers can receive a response outside working hours. |
| Potential sales enquiries may be lost. | More enquiries can be captured for follow-up. |
| Owners frequently interrupt work to answer calls. | Routine enquiries can be handled with fewer interruptions. |
| Staff repeatedly answer the same questions. | Approved routine questions can be handled automatically. |
| Customer details may be recorded inconsistently. | Enquiry information can be captured in a structured format. |
| Booking requests require callbacks. | Booking assistance may be available through integrations. |
| Busy periods disrupt operations. | Selected enquiries can be handled without interrupting staff. |
An AI receptionist is not about removing the human element. It is about making sure routine enquiries do not consume time your team could spend on more valuable work.
OPERATING COSTS
AI receptionist cost per month depends on call volume, the percentage handled by AI, call duration, model and voice usage, telephony, platform subscriptions, backend tools, integrations and applicable taxes.
24/7 availability does not necessarily mean paying for 24 hours of AI conversation daily. Usage-based charges generally depend on actual usage, although fixed fees may also apply.
The AI receptionist cost calculator below uses editable, combined planning assumptions rather than a vendor quotation. Implementation and development fees are excluded from monthly operating costs.
View official OpenAI pricing →No current official per-minute rate is quoted here. Check the provider’s current pricing, billing units and platform charges when scoping your solution.
EXPLORE THE POTENTIAL VALUE
Range representatives: 1–5 uses 3 calls/week; 5–10 uses 7.5; 10–20 uses 15. “More than 20” and “I don’t know” require your numeric estimate. Each is multiplied by 52/12 for a monthly estimate.
Illustrative assumptions: sales enquiry share 50%; conversion 30%; recoverable share 50%. These are not verified industry averages. Weekly estimates use 52/12 weeks per month. Adjust these in Advanced estimate if you have better information. AI handling percentage is separate from missed-call recoverability.
Potential recovered revenue = missed calls × sales enquiry share × conversion rate × average sale value × recoverable share. Estimated recovered profit = recovered revenue × profit margin, only when supplied.
Not every missed call represents a lost sale. These illustrative scenarios are not forecasts, industry averages or guaranteed results.
PLAN YOUR OPERATING BUDGET
US$0.15 is an illustrative planning assumption, not an official provider rate. OpenAI pricing is only one component of the total estimated cost.
US$25 is an illustrative allowance. Include only fixed charges that are not already covered by the per-minute assumption.
AI calls = incoming calls × AI handling percentage. AI minutes = AI calls × average duration. Usage cost (USD) = AI minutes × estimated cost per minute. Monthly cost (USD) = usage + fixed costs. Multiply by the illustrative conversion rate for the selected display currency.
Illustrative monthly operating-cost estimate only. Actual costs depend on call volume, providers, configuration and applicable charges. MKN Automate implementation fees are not included.
YOUR CONNECTED BUSINESS CASE
Revenue and operating cost are shown separately. Add a profit margin to estimate recovered profit and an indicative monthly difference.
Potential revenue recovery is illustrative and depends on actual customer demand, sales outcomes and the share of calls that can be recovered. No savings or ROI are guaranteed.
AUTOMATION WITH PURPOSE
Not necessarily.
An AI phone receptionist should fit the way your business operates — not force every caller through an AI conversation.
Some businesses may want AI to handle calls only outside working hours. Others may prefer a simple phone menu with options to speak to a team member, leave a message or talk to an AI assistant.
In some cases, straightforward call routing or standard automation may be more appropriate than conversational AI.
At MKN Automate, we start by understanding your business processes, call volumes and customer expectations before recommending the right combination of technology and human support.
Not every process needs AI. Not every call needs an AI agent.
Define human escalation, authorised system access, data retention and applicable consent requirements for recording or transcription. Sensitive decisions should remain under appropriate human control.
QUESTIONS
AI receptionist pricing depends on call volume, conversation duration, technology, telephony, integrations and fixed subscriptions. Use the calculators for an illustrative monthly budget; configuration and implementation are priced separately after scoping.
A 24/7 AI receptionist can be configured for eligible after-hours calls, subject to platform availability, telephony and agreed support arrangements. Always define a fallback for outages and calls that need human assistance.
Booking assistance may be possible through a compatible booking-system integration. Availability checks, booking rules, confirmations and any actions requiring approval must be defined and tested.
Transfers may be supported by the selected telephony platform. We assess routing rules, staff availability and fallback options, including callback requests when a team member is unavailable.
No. Call handling can combine a standard menu, direct transfers, rules-based routing, AI assistance and human support. AI can be restricted to selected enquiries or after-hours calls.
A suitable CRM integration may capture enquiry details, create tasks or retrieve authorised information. Feasibility depends on supported APIs, access permissions, data quality and the agreed workflow.
Yes. MKN Automate is New Zealand based and works worldwide. Telephone-number availability, integrations, language needs and applicable privacy and communication requirements are assessed for each market.
It can support routine or overflow work, but should not be assumed to replace every human responsibility. Complex, sensitive and unexpected conversations need appropriate human escalation and oversight.
Compare realistic usage costs with the value of eligible enquiries and reduced routine work. The calculators keep potential revenue separate from profit and calculate a monthly difference only when you supply a profit margin.
Some technologies support multiple languages, but quality varies by language, accent, domain and voice configuration. Required languages should be evaluated and tested before confirming a service capability.
DISCUSS YOUR PROJECT
Whether you’re missing customer calls, managing repetitive enquiries or looking for better after-hours coverage, the right solution starts with understanding your business.
MKN Automate can help you explore practical AI voice-agent options, identify suitable call-handling workflows and assess the integrations and operating costs involved.
You don’t need to know which technology to use. Start with the business problem.