Imagine a small chain of clinics where the phones at each location ring nonstop during lunch, and by two o’clock, no one can say how many calls were abandoned for a competitor.
A missed call that turns into a lost patient is what prompts most businesses to consider an AI phone system. An AI phone system combines speech recognition with a language model to answer a call, understand the caller’s request, direct them to the right destination, and record the event, all without a person picking up for routine inquiries.
The choice comes down to three questions: which type fits the way your calls flow, how much a year’s quote adds up to once options are included, and whether compliance and redundancy hold up during your busiest hour. What follows covers each of these dimensions, compares eight systems against the same criteria, and gives you a shortlist to bring to any sales conversation.
What Is an AI Phone System
An AI phone system, or AI-powered phone system, answers and handles a call using speech recognition and a language model, rather than a fixed keypad menu. The difference from a traditional IVR lies in the part that matters.
An IVR guides every caller through the same tree and responds only to digits or a few predefined keywords, while an AI system responds to what the person actually said, in their own words. Four components work behind the scenes: speech recognition that converts audio to text, the language model that determines the caller’s request, speech synthesis that responds in a natural voice, and write-back that records the outcome in your system of record.
Three broad categories emerge as you research.
The first is a full enterprise phone system, a UCaaS platform, with AI built into the calling, messaging, and video service you already expect. The second is an AI answering service, a service that sits in front of your existing lines and handles calls as a receptionist would. The third is a development platform that you use to assemble a custom voice agent from components. Most of the confusion in a sales cycle comes from comparing one type with another as if they were the same purchase.
In a post dated February 18, 2026, Gartner reported that 91% of the 321 customer service and support leaders it surveyed the previous month felt executive pressure to deploy AI. A mandate from the top is how businesses end up choosing the wrong category among these three, so matching the system to actual calls must come first.
What Features to Look for in an AI Phone System
A comprehensive list of every feature is an article in itself, and AI features in UCaaS platforms already covers that ground. The most useful way to sort features is by who in the business actually experiences them, because that indicates which features are worth the cost. A feature that no one notices is just a line on an invoice.
Features Callers Notice
- Routing based on a spoken request rather than a keypad tree, so the caller states their goal instead of decoding option four.
- No wait time for routine tasks: opening hours, directions, balance, appointment slot, order status.
- After-hours handling that records the reason for the call and promises a callback, instead of voicemail.
- A callback offer after a real wait, rather than another loop of hold music.
- One test is enough for most: can the caller tell they are speaking to an AI, and does it matter to them? Only the second answer counts.
Features That Change the Day-to-Day for Frontline Staff
- Automatic summaries and transcripts that eliminate manual note-taking and the need to search for what the caller said during their last visit.
- Voicemail converted to text, so a message can be triaged by reading it in seconds.
- Suggested replies on text channels, with a person always deciding what gets sent.
- A screen showing the caller’s history before the receptionist has said hello.
The honest reason to consider it is retention, not speed. In a five-site company, people on the phone leave the job when the work becomes 40 % data entry, so collaboration tools and productivity apps that eliminate the administrative work are what keep them.
Features managers use to manage multiple sites
- Answer rates and abandoned calls broken down by branch, highlighting the understaffed site.
- Searchable transcripts for every site, so a recurring complaint becomes a fact rather than a hunch.
- Sentiment shown as a trend line, useful as guidance, not as a score for evaluating staff.
- The five most common reasons for calls, pointing directly to what to automate next.
These figures also form the basis of a pilot; a system that cannot report them by location cannot be evaluated before you sign.
The 8 best AI phone systems for your needs
Naming the best AI phone system in the abstract is a category error; the eight listed cover all three categories without declaring a winner.
Some are complete phone systems, one is an answering service, and two are development platforms, which is why their prices use entirely different units. Prices are shown as each provider publishes them, and when a provider keeps its rates behind a quote, that is stated clearly rather than assumed.
| Provider | Pricing model | AI: included or add-on | Concurrency | HIPAA / BAA | Deployment | Best use |
|---|---|---|---|---|---|---|
| Sangoma | Per seat, partner quote | Mixed; Scribe and AI vary by plan | Included, counts seats | BAA available | Cloud, hybrid, on‑prem | Multi-site seeking one provider and an on‑prem option |
| RingCentral | Per user / month | Add-on; basic AI video included | Not published; unlimited calls | Available on qualifying plans | Cloud only | Medium to large businesses seeking UC + contact center |
| Nextiva | Per user / month, plus CCaaS per agent | Mixed; AI agent offered | Not published | BAA available; HIPAA mode | Cloud only | Small to medium businesses seeking UC + CX |
| Dialpad | Per user / month | Included; DialpadGPT in the base plan | Not published; video capped at 10 | BAA available; Enterprise for full HIPAA | Cloud only | Teams seeking AI-first calling |
| CloudTalk | Per user / month, plus AI add-on | Add-on; additional Voice AI agents | Measured; parallel dialer up to 10 | HIPAA declared; BAA to be confirmed | Cloud only | Sales and support teams, CRM-first |
| Smith.ai | Per call | Primary; AI with human fallback | Managed service | HIPAA intake option | Cloud service, on your lines | Small businesses seeking answered calls without hiring |
| Retell AI | Per minute, pay-as-you-go | Primary; model at your expense | 20 included, hard cap; unlimited Enterprise | Enterprise only | Cloud; VPC or on‑prem on Enterprise | Engineering teams building custom agents |
| Vapi | Per minute, platform fees + providers | Primary; model at your expense | 10 included; unlimited Enterprise | Additional fees or Enterprise | Cloud | Engineering teams seeking model choice |
Sangoma
Overview: Sangoma sells a complete communications platform that runs in the cloud, in hybrid environments, or on‑prem, for businesses that would otherwise assemble a phone system, network, and AI tools from separate vendors. It makes its own phones, gateways, and session border controllers and sponsors the Asterisk and FreePBX open-source projects, so one company remains responsible for the entire stack. The complete communications platform includes calling, messaging, video, contact center, and Microsoft Teams integration.
Pricing: Sangoma sells through partners who adjust prices according to the deployment, so expect a quote rather than a listed price.
AI: Sangoma Scribe runs transcription, smart summaries, and sentiment analysis directly in the platform rather than as an added analytics tool, with searchable transcripts, click-to-filter for negative calls, voicemail summaries sent by email, and API access, all running on Sangoma’s cloud, hybrid, and on‑prem platforms. Sangoma AI adds conversational IVR, a knowledge bot, and agent assistance, with voice AI in the same family.
Best fit: Multi-site enterprise seeking one provider for voice, networking, and security and requiring an on-prem or hybrid option.
Poor fit: Team wanting to sign up online in ten minutes and see a public price, since the partner quote model trades that immediacy for a precise figure.
RingCentral
Overview: Cloud business phone system that most buyers choose for a bundle of calling, messaging, video, and, at the high end, contact center services.
Pricing: RingEX plans are listed at 20, 25, and 35 dollars per user per month on annual billing for Core, Advanced, and Ultra, with higher monthly rates. RingCX, the contact center, is a separate license starting at about 65 dollars per agent.
AI: Primarily a separate line item. Basic video transcription and summaries are included, but AI Receptionist starts at 39 dollars per month with its own minutes cap, and AI Conversation Expert, formerly RingSense, runs about 60 dollars per user per month.
Best fit: Medium or larger organization seeking unified communications and a contact center from a single cloud brand.
Poor fit: Buyer comparing seat prices who forgets that AI and analytics are added on.
Compare: Sangoma versus RingCentral details deployment and billing differences.
Nextiva
Overview: Evolved from a business phone provider into a customer experience platform that brings voice, video, SMS, chat, social media, and reviews together in one application.
Pricing: SMB plans are listed with annual billing: Core at 15 dollars, Engage at 25 dollars, and a higher CX tier at around 75 dollars per user per month, with an agent-based contact center starting at about 75 dollars.
AI: Call transcription and summaries appear in higher tiers, while an AI agent is offered rather than listed. Nextiva executes BAAs for the healthcare sector, with a HIPAA mode that disables features such as SMS and voicemail transcription to keep protected information out of reach.
Best fit: Small or medium business seeking communications and customer experience tools in one place.
Poor fit: Team that only wants a phone system, since the social media and reputation bundle may go unused.
Compare: Sangoma versus Nextiva compares deployment, survivability, and pricing side by side.
Dialpad
Overview: Stands out for having AI built in from the start rather than sold as an add-on.
Pricing: Connect plans are listed at 15 dollars for Standard and 25 dollars for Pro per user per month on annual billing, with Enterprise available by quote. A separate contact center, Dialpad Support, starts at about 80 dollars per agent, alongside a sales tier and conversational AI agents.
AI: Real-time transcription, call summaries, and sentiment are included in every Connect tier through its own DialpadGPT model. Dialpad is HIPAA-ready with a BAA that can be signed in the app, although full healthcare use practically requires an Enterprise agreement, and customers can opt out of AI training. Video meetings are capped at ten participants.
Best fit: Team seeking AI-first calling without paying extra for basic AI.
Poor fit: Organization requiring an on-prem or hybrid calling option, or large video meetings, neither of which Dialpad offers.
Compare: Sangoma versus Dialpad shows the contrast in deployment and survivability.
CloudTalk
Overview: Cloud contact center designed for sales and support teams, strong in international numbers and CRM integration.
Pricing: Seat plans are listed in euros at about 19, 25, 29, and 49 euros per user per month on annual billing for Lite, Starter, Essential, and Expert, with a custom tier above them.
AI: Voice AI agents are a separate add-on, sold in bundles such as about 99 euros per month for 200 minutes or by the minute, and a conversational intelligence add-on runs a few dollars per user. CloudTalk declares HIPAA, SOC 2, and ISO 27001 compliance, although a signed BAA should be confirmed with sales. A parallel dialer places up to ten simultaneous outbound calls, so concurrency is measured rather than open.
Best fit: Sales or support team working in a CRM and calling across many countries.
Misuse: Buyer who reads the seat price as the AI price, because Voice agents are a separate bill.
Compare: a buyers’ guide to the best UCaaS providers positions CloudTalk against full platforms.
Smith.ai
Overview: Not a phone system but an answering service that sits in front of your existing lines and handles calls like a receptionist would, with AI first and human agents as backup.
Pricing: Per call. AI Receptionist starts at about 95 dollars per month for a small block of calls, while the legacy hybrid Virtual Receptionist, where a person takes over, starts near 292 dollars per month for 30 calls plus additional per-call fees. The AI “done-for-you” plans lock in pricing at fixed monthly levels with no extra fees. Per-call billing rewards steady volume and penalizes a busy season.
AI: AI answers first and transfers to a human agent when a call needs one. HIPAA-compliant intake is an option for regulated businesses.
Best use: Small professional services office wanting every call answered without hiring.
Misuse: High-volume operation, where per-call billing exceeds the cost of a real phone system, and any business wanting to replace its phone system completely, because Smith.ai overlays an existing system.
Retell AI
Overview: Development platform for building a custom voice agent, not a phone system you switch on. Bringing your own model and carrier is the draw for engineers and the barrier for everyone else.
Pricing: Pay-as-you-go, per minute: a voice engine rate of about 7 cents that rises to about 11 to 31 cents once you add a language model, speech synthesis, and telephony yourself.
AI: The platform is the AI layer, and you provide the model and voice. A BAA is available only on the Enterprise plan, which also opens up VPC and on-prem options.
Best use: Engineering team wanting full control and able to manage a multi-part bill.
Misuse: Business without developers, or a healthcare team needing a BAA from day one without upgrading to Enterprise.
Vapi
Overview: The second development platform on the list, an orchestration layer for connecting speech recognition, a language model, speech synthesis, and telephony into a working voice agent.
Pricing: The self-service Build plan charges a platform fee of about 5 cents per minute, with recognition, model, voice, and carrier billed separately, so a real deployment comes closer to 13 to 31 cents.
AI: You assemble the model, voice, and transcription providers yourself. HIPAA compliance is a paid add-on that reaches four figures per month on self-service, or is included in the Enterprise Scale contract with unlimited concurrency and a dedicated team.
Best use: Engineering-led team wanting the broadest choice of models and providers and willing to tune the stack itself.
Misuse: Non-technical or budget-constrained regulated buyer, because the layered bill and compliance overhead are hard to predict.
Start with your own constraints rather than feature lists, because each constraint points to a category before it points to a provider. A multi-site operation requiring on-prem or hybrid immediately eliminates all cloud-only names. A business that likes its current phone system and only wants to cover missed calls buys a better AI answering service than a replacement.
Regulated call data moves the BAA question ahead of price, a hard daily peak turns concurrency into the first specification to confirm, and a team with an available engineer can consider a “build-it-yourself” platform that would stall without one.
Read the Best use and Misuse lines against your situation, and the shortlist will narrow itself.
Integrations and figures to confirm before signing
Features win the demo; integrations decide whether the thing holds up after the first week. Go into any vendor call with this list:
- Are your numbers included, and is it a port or a SIP trunk intended for AI.
- Data flows in both directions to your system of record, not a one-way log, and is confirmed by name for the tool you use, whether a CRM, an EHR, a POS, or a scheduler.
- Hours, holiday closures, menus, and call rotations for each site, all controlled from a single console.
- Native links to the tools you already use, Microsoft Teams integration among the most common.
- Who edits the configuration after launch, and whether changing a store’s hours requires a support ticket.
The last point carries the most weight. A business without an IT team cannot wait in a vendor queue to change Thanksgiving hours across 25 sites, so self-service administration through something like TeamHub is worth more than it may seem.
What changes across industries
Each sector has a unique decision factor that outweighs any checklist, and the full set of examples is available in real-world AI use cases in UCaaS by industry. In brief:
- Healthcare:** Choosing AI for a healthcare phone system starts with the BAA chain and writing to the EHR, and after-hours triage must quickly escalate urgent symptoms to a person.
- Hospitality:** PMS integration so the front desk works from guest records, wake-up calls, and room status, plus peak check-in and check-out concurrency and 24/7 requests once the front desk is unstaffed.
- Retail and restaurants: Store hours and inventory questions by location, a single administration layer, reporting that compares sites, and for restaurants, dinner rush concurrency plus reservation and POS links, where order taking is transactional so errors have a direct cost.
- Education:** Enrollment and term-start peaks, and routing between departments without a shared front desk, which is why AI phone systems for education are built around bell schedules and campuses.
- Manufacturing:** Few consumer calls, many supplier and dispatch lines, requiring availability that survives the loss of a plant’s network.
What changes with company size
Company size changes purchasing rules more than industry does. Below around 500 people, with no one whose job is IT, the winning system is one an ordinary employee can operate: avoid multi-year commitments, start with transcription and nighttime answering before trusting AI to handle calls without supervision, and treat setup fees as a real cost.
Across 500 to 5,000 people spread across sites, the calculation shifts from monthly pricing to what the full contract costs to operate. Consolidating voice, network, and security under one provider eliminates finger-pointing when a supposed call-quality failure turns out to be a bad circuit, and AI deployment must become one person’s stated responsibility.
The less glamorous risk for the larger group is adding a new AI provider to an unconsolidated communications estate, so the solution is often to sort out managed network and connectivity before any AI go-live.
What you need to know about pricing
Quotes rarely arrive in the same form: per user, per minute, per call, per block of minutes, an annual minimum. Nothing is comparable until you convert each quote into a single figure, and a more complete breakdown is available in how UCaaS is priced. Five elements change the actual total:
- Billing unit: seats, minutes, calls or concurrent lines. A per-seat model suits predictable volumes, while metered minutes and calls save money in slow months and cost more during peak hours, so choose the unit that matches how your phones actually operate.
- Concurrent calls: how many calls the system supports at a given moment, normally with a limit and additional lines billed extra. A busy clinic or restaurant reaches this limit before any other, and this is the specification buyers most often overlook.
- AI is generally an add-on layer. For most providers, the per-user fee pays for the call itself, so comparing seat prices compares phone systems, not the added intelligence.
- Compliance generally costs more. Signing a BAA, redaction and retention settings are generally outside the base plan, so a regulated buyer starts above the headline figure.
- Items that are missing from the price sheet: integration, number migration, creating menus for each site, staff training and the first month of flow tuning. After that come the term, whether it renews automatically, and where the price stands when it does.
The metric that really matters is a year of total spending compared with calls completed without a human. Half the seat price counts for nothing if the system sends callers back to agents twice as often, because on a cost-per-resolved-call basis, it comes out behind.
Questions to ask any AI phone system provider
Take these items into the call and note the answers:
- Scope and ownership: what type does this belong to, who manages speech recognition and the language model, and what other providers touch the call.
- Cost: the total rate once our required add-ons are included, how many concurrent calls are included, the setup cost, the commitment term, and whether it renews automatically.
- Compliance: is a BAA available, are audio and transcripts encrypted in transit and at rest, can we disable recording on a given flow, and are we opted into model training unless we opt out.
- Reliability: what does a caller experience during an outage, where do calls go if a location loses its connection, and how is a misrouted call escalated.
- Operations: after launch, who edits hours and menus, how quickly does a change take effect, and what reporting is provided per site.
Make the right decision after careful consideration
A phone system is not a purchase to make lightly. Numbers, call flows, integrations and staff habits build up around it, so a poor choice costs far more to undo than to avoid. The work that prevents it is unglamorous: define what your calls need, assess providers against those needs rather than their demos, and run a trial before committing. Do that, and the shortlist will choose itself.
When you want to see how a platform handles your specific mix of locations, volume and compliance, Sangoma AI is a simple place to discuss it with an expert.
Frequently asked questions
Do callers hate having AI on the line, and how will we notice if they do?
Most people accept routine tasks when AI is fast and transfers them smoothly; frustration arises when it traps them. The question to answer is not whether they notice the AI, but whether it bothers them, so track how often it completes a call without help, how often it transfers to a human, and whether your regular callers become more or less patient over time.
If AI gives a customer incorrect information, who is responsible?
Your company. Safeguards, handoff to a human and recording come from the provider, but responsibility for what the system tells a customer remains with you. Get written answers on how the provider handles accuracy, whether calls are captured and retained, and how an error is escalated to a human.
Will our call recordings be used to train the provider’s models, and can we opt out?
With some providers, yes, unless you say otherwise. Ask for a written statement about how your data is used and how to opt out, and check whether opting out also purges anything already collected. Several platforms allow an opt-out that keeps AI working, but you need to raise it instead of assuming.
When we switch to another provider, will our call history and transcripts come with us?
Only if you have configured it that way. Determine in advance who owns the data and what export format you will receive, and include portability in the agreement, because exporting is simple on some platforms and a full project on others.
If the AI doesn’t perform, how quickly can we turn it off?
The answer depends on whether you can stop it yourself, by workflow or globally, or whether stopping it means opening a support ticket. A company without IT staff should insist on self-service control before signing, so that a difficult week does not turn into a difficult quarter.
How long does deployment across multiple sites take, and who actually configures it?
A self-service reception service can be up and running in a few days; a multi-site phone system with numbers to port and workflows to build for each location takes weeks. Number porting and workflow setup determine the schedule far more than installation, so specify who will do this work before setting a launch date.