# Moneypenny Pricing: Plans, Add-Ons, and Cheaper Options (2025) > Moneypenny pricing explained: see 2025 starting costs, what add-ons raise your bill, and how to estimate monthly spend and compare cheaper options. Canonical: https://ahoya.ai/blog/moneypenny-pricing-plans-add-ons-and-cheaper-options-2025 Published: 2026-07-31 · Updated: 2026-07-31 ## The 30-second version Moneypenny pricing typically starts at $132/month for Phone Answering and $99/month for AI Answering (Moneypenny US, 2025), with live transfer add-on pricing at $1.99 per minute. Your real cost depends on how many calls you get, average call length, after-hours volume, and whether you need booking or lead qualification. To compare providers fairly, estimate your monthly minutes and ask what’s included, what triggers overages, and how transfers are billed. If you want lower costs, consider an AI receptionist for 24/7 coverage, a message-taking service for simple needs, or tighter in-house phone coverage if your team can reliably answer. Your phone rings while you’re on a ladder, with a patient, or mid-service. You tell yourself you’ll call back. Then you don’t. And the customer quietly books someone else. If you’re researching Moneypenny pricing, you’re really trying to answer one question: “What will it cost me to stop missing good calls, and is there a cheaper way to get the same outcome?” ## What is Moneypenny pricing Moneypenny pricing is the cost structure of the Moneypenny virtual receptionist service, which provides small businesses with plans and features to manage phone calls and customer interactions. In practice, that “cost structure” matters because phone answering is rarely a flat fee. Most services price using a mix of: - A monthly base plan - Usage (minutes, calls, or overages) - Add-ons (24/7 coverage, appointment scheduling, bilingual support, etc.) - Transfers or warm handoffs to your team So when you compare options, compare total monthly cost for your call volume, not just the entry price. The cheapest receptionist option is the one that reliably answers the calls you would have missed, at a cost that still makes sense on your slow months. ## Moneypenny Plans and Pricing Moneypenny offers both traditional receptionist answering and AI-led answering. Their published “starting at” prices (US) can help you set a baseline: - Phone Answering starts at $132/month — Moneypenny (US), 2025 - AI Answering starts at $99/month — Moneypenny (US), 2025 - Optional transfer to a live receptionist at **$1.99 per minute** — Moneypenny (US), 2025 “Starts at” is doing a lot of work here. Before you compare providers, confirm what’s included (minutes, hours, call routing, overflow coverage) and what happens when you exceed allowances. ### What you should ask Moneypenny (or any provider) to quote Ask for a quote based on your call pattern: - How many calls per month? (and how many after-hours?) - Average call length? If you don’t know, pick a reasonable estimate (for example, 3–6 minutes) and then adjust after a week of tracking. - What happens on long calls? (many plans assume a certain average) - Do you need appointment booking? If yes, how is that handled and charged? - Do you need message taking only, or qualification? (pricing changes when the receptionist must ask questions and log details) - Do you need 24/7? Many plans price nights/weekends differently. ### Why “per-minute” economics matter Even when a service advertises a monthly plan, costs often rise with minutes, transfers, and after-hours handling. A practical way to sanity-check pricing is to do a quick “minute math” scenario with your own numbers. For example: if you get 10 calls a day and they average 4 minutes, that’s about 200 minutes per week. Multiply by the provider’s included minutes and overage rules to see where you land. ### Quick reference: Moneypenny starting pricing (US) This is a simplified view of the published starting points, not a quote. You’ll still need to confirm what’s included. | Option | Starting price (US) | What it’s best for | Watch-outs to confirm | |---|---|---|---| | Moneypenny Phone Answering | $132/month (Moneypenny US, 2025) | Businesses that want live receptionist handling | Included minutes/calls, after-hours pricing, booking capability, overages | | Moneypenny AI Answering | $99/month (Moneypenny US, 2025) | Lower-cost coverage for common questions + basic capture | What the AI can/can’t handle, escalation rules, voicemail fallback | | AI + Live transfer add-on | $1.99/minute for live transfer (Moneypenny US, 2025) | AI-first with live backup for complex calls | How often calls transfer, how you control transfer triggers, minimum charges | ## Cheaper Alternatives to Moneypenny “Cheaper” can mean three different things: - Lower monthly base price - Lower cost at your call volume - Lower cost for comparable outcomes (appointments booked, leads captured, fewer missed calls) Below are common alternative categories that can cost less than premium live receptionist services, depending on what you need. ### 1) An AI receptionist (often the lowest cost for 24/7 coverage) An AI receptionist can answer every call, handle FAQs, capture lead details, book appointments, and send messages to your team. For many small businesses, that covers a big chunk of inbound calls. Where AI tends to be cheaper: - You’re paying for coverage and automation, not human minutes - You can reserve humans for exceptions (transfers, complex situations) Where AI may not fit: - Highly nuanced screening (for example, detailed legal intake or insurance verification) - Calls requiring empathy and judgment in sensitive situations Concrete example (home services): A plumbing company gets repeat questions: “Do you service my ZIP?”, “What’s your emergency fee?”, “Can you come today?”, “Can I book for tomorrow morning?” AI can handle those, book a slot, and text the on-call tech. You save human handling for the angry customer, the complicated commercial quote, or the situation that needs negotiation. ### 2) A simpler answering service (message-taking only) If you don’t need scheduling, lead qualification, or detailed intake, a basic message-taking service can be cost-effective. The tradeoff is you create more follow-up work, and speed matters. Good fit: - Low call volume - Calls are mostly “leave a message” and you reliably call back fast Not ideal: - You need same-call booking - You want to qualify leads so you don’t waste time on poor-fit inquiries ### 3) Shared staff or in-house coverage (cheap on paper, expensive in practice) Many owners try to cover the phone by spreading it across the team. The cost shows up as: - Interrupted work - Longer service times - Slower callbacks - Missed calls during busy moments If you go this route, make it a system: - One person “owns” the phone during defined blocks - Clear scripts and intake questions - A defined callback target (for example, “return missed calls within 10 minutes”) ### 4) Hybrid approach: AI answers first, humans handle exceptions This is often a strong value model: - AI covers 24/7, captures details, and books - Humans step in only when needed (or only during business hours) If you’re comparing Moneypenny’s AI plan plus live transfer, estimate how many calls will transfer under your rules. Transfers are where costs can climb. ### A realistic way to estimate savings (without guessing stats) Run your own 2-week audit: - Count inbound calls per day. - Count missed calls (and after-hours calls). - Tag missed calls by type: new lead, existing customer, vendor, wrong number. - For new leads, note whether they converted when you called back. Then do simple math: estimate what one missed new-lead call is worth (average job value × close rate). You don’t need perfect math. You need a believable range to choose a plan. ## Key Features to Consider When Comparing Pricing When two services look close on price, features decide your real cost. ### 1) 24/7 answering (and what “24/7” really means) Confirm: - Are nights/weekends included, or billed differently? - Is “24/7” full handling or just voicemail/triage? If after-hours calls matter in your business (restaurants, emergency home services, urgent dental calls), this can decide whether you win the customer. ### 2) Appointment booking (and who controls the rules) Booking is where value jumps, and where mistakes get expensive. Ask: - Can it book directly into your calendar, or is it “request only”? - Does it handle buffers, travel time, and service-specific durations? - Can it take deposits, or only reserve time? If the receptionist can only “take a message,” you still have to chase the customer. That’s where leads leak. ### 3) Intake quality: what details get captured A cheaper plan that captures weak info costs you time later. Define minimum intake fields for your business. Example for a cleaning company: - Address + ZIP - Size (beds/baths or square footage) - Service type (deep/standard/move-out) - Preferred day/time - Pets, access notes, parking Then compare providers on whether they reliably capture and deliver those fields. ### 4) Transfers and escalation rules Transfers can be helpful, but they can also be expensive and disruptive. Ask: - What triggers a transfer? - Can you set “do not transfer during X hours” rules? - Is it warm transfer (summary first) or cold transfer? Remember: Moneypenny’s AI option includes an optional transfer to a live receptionist at $1.99 per minute (Moneypenny US, 2025). That can work well if you control how often it happens. ### 5) Speed to set up and manage scripts The hidden cost is your time. Look for: - Easy updates to hours, holiday closures, and promos - Simple call scripts per service line - Fast changes when you’re slammed (storm season, last-minute staffing gaps) ### 6) Reporting and call logs You want visibility into: - Missed calls - Peak call times - Lead categories - Reasons for calling - Booked vs not booked outcomes (if available) Even basic call summaries can help you staff smarter and tighten your process. ## How to Choose the Best Virtual Receptionist for Your Business Use this process to pick the best fit, not just the lowest sticker price. ### Step 1: Decide what “success” is Pick one primary outcome: - “Book more appointments” - “Stop missing emergency calls” - “Reduce interruptions for my team” - “Capture every lead and follow up fast” Different goals lead to different setups. ### Step 2: Classify your calls into 3 buckets For one week, tag calls: - Bookable now (can be scheduled immediately) - Answer-and-capture (needs a callback but can be qualified) - Complex (pricing disputes, detailed troubleshooting, sensitive issues) If most calls are bucket 1 or 2, AI-first or streamlined receptionist services often win on cost. ### Step 3: Build a simple cost model Estimate: - Monthly base fee - Estimated minutes used (or calls handled) - After-hours pricing (if any) - Transfer minutes (if priced separately) - Add-ons (booking, bilingual, additional numbers) ### Step 4: Run a “two busiest days” test Before you commit long-term: - Turn it on for your two busiest days - Check message quality, booking accuracy, and escalation behavior - Note how many calls would have been missed otherwise You’ll learn quickly if it saves time or creates cleanup work. ### Step 5: Choose a plan that fits your slow months A common mistake is buying for peak season and regretting it later. If your call volume swings, prioritize: - Flexible plans - Clear overage pricing - Simple downgrade/upgrade rules ## Case Studies: Businesses That Saved Money with Alternative Virtual Receptionists Ahoya is pre-launch, so we can’t share brand-name results. The examples below are illustrative patterns that many small businesses use to reduce receptionist costs without giving up a good customer experience. ### Case study 1: HVAC company replaces “always live” with AI-first triage Situation: Peak-season calls spike, and many are repetitive: service area, availability, emergency fees, and “can you come today?” Change: The business uses an AI-first setup to: - Answer 24/7 - Collect address, issue type, and urgency - Offer appointment booking or request windows - Escalate only true emergencies to an on-call tech Why it can save money: Live handling is reserved for edge cases. You pay for fewer human-handled minutes while still capturing after-hours leads. What to watch: Make sure the script handles common objections (“How soon can you come?”) and collects the details techs actually need. ### Case study 2: Dental office reduces front-desk overload during peak hours Situation: The front desk is busiest when patients are checking in and out. Calls go to voicemail, and callbacks happen late. Change: Use a receptionist solution that prioritizes: - New patient calls - Scheduling and rescheduling - Basic policy FAQs - Texting the team when a same-day slot opens Why it can save money: Fewer interruptions for staff and fewer dropped calls. The practice avoids staffing extra hours just to cover phones. What to watch: Tight scheduling rules (provider preferences, procedure lengths, buffers). ### Case study 3: Salon converts more “today?” calls with instant booking Situation: Many calls are last-minute: “Any openings this afternoon?” If the receptionist can’t book quickly, the client moves on. Change: Use a booking-first setup with: - Real-time appointment booking (or fast request handling) - A simple service menu - Automated confirmations Why it can save money: Less time returning voicemails and fewer missed opportunities when clients want an immediate answer. What to watch: Keep the menu short (top services + “other”) so calls don’t drag. ### Case study 4: Small law office uses hybrid handling for intake Situation: Some calls are routine (hours, directions, fees), but intake requires careful screening. Change: Use AI or basic reception for: - FAQs - Capturing preliminary details - Scheduling consult requests Route only qualified, high-intent calls to a trained human. Why it can save money: Human time goes to the conversations that matter. What to watch: Compliance, disclaimers, and avoiding anything that sounds like legal advice. ## Closing: Pricing is only “cheap” if it helps you win and keep customers When people search Moneypenny pricing, they’re usually weighing a real tradeoff: pay more for premium live handling, or pay less and risk missed calls, messy intake, and lost bookings. A practical way to decide: - Estimate your real call volume and call length (don’t guess blindly). - Compare total monthly cost, including transfers and after-hours handling. - Choose the option that captures the calls that turn into customers. If you want a simpler, modern approach, an AI receptionist like Ahoya (an AI voice receptionist for small businesses) is designed to answer every call 24/7, book appointments, log requests, and text your team. It sets up from a website URL in minutes on a real phone number, with a free trial and then $49 / $179 / $399 per month. The goal is the same either way: fewer missed calls, faster responses, and a customer experience that stays consistent even when you’re slammed. ## Frequently asked questions ### How much does Moneypenny cost? Moneypenny’s published US starting prices are $132/month for Phone Answering and $99/month for AI Answering (Moneypenny US, 2025). They also list an optional transfer to a live receptionist for $1.99 per minute (Moneypenny US, 2025). Your actual monthly cost can be higher depending on included minutes, overages, after-hours coverage, and add-ons like booking or lead qualification. ### How much does an AI answering service cost for small business? AI answering services are often priced as a monthly plan, sometimes with usage limits or tiers. A useful benchmark is Moneypenny’s AI Answering starting at $99/month in the US (Moneypenny US, 2025). Your best estimate comes from your call volume, average call length, and what you need the AI to do, like booking appointments, capturing details, or routing urgent calls. ### How much does an answering dispatch service cost per hour? Dispatch pricing varies because many providers do not bill strictly “per hour.” Instead, they may charge monthly plans plus usage (minutes or calls), with extra fees for after-hours, emergency routing, or warm transfers. If a provider gives an hourly quote, confirm what that includes: call answering, caller intake, dispatch rules, appointment booking, and escalation steps. Then compare it to a per-minute or per-call quote using your real volume. ### How does a bilingual answering service work? A bilingual answering service typically routes calls based on the caller’s language preference, caller ID patterns, or a prompt like “Press 1 for English, 2 for Spanish.” The receptionist or agent then follows the same script in the selected language and logs the same details for your team. Ask how they ensure coverage in both languages, whether bilingual support costs extra, and how they handle situations where a bilingual agent is not available. ### What questions should I ask before accepting a Moneypenny quote? Ask what’s included in the base price, including minutes or call limits, and what overages cost. Confirm how after-hours and weekend calls are billed, whether long calls are treated differently, and whether booking or lead qualification costs extra. If you’re using AI with human backup, clarify what triggers a live transfer and how often that could happen so you can estimate the monthly total. ### What is the best way to compare Moneypenny pricing to cheaper alternatives? Compare total monthly cost at your call volume, not just the “starts at” price. Estimate how many calls you get, average minutes per call, and how many happen after hours. Then price out each option using the same assumptions: live receptionist plans, AI answering plans, and any transfer or booking add-ons. The cheapest option is usually the one that answers reliably without surprise overages in busy weeks.