Roonly vs Smith.ai: AI Phone for Home Services

Quick Verdict: Roonly vs Smith.ai

Smith.ai answers calls reliably with human backup; Roonly Office answers calls, scores every conversation, and coaches the CSR who took it.

When a home-services business needs someone to answer the phone and has no interest in why deals get lost, Smith.ai does the job well. It is a mature, well-reviewed service with live human agents available around the clock, solid integrations with ServiceTitan and Housecall Pro, and transparent per-call pricing.

When that same business wants to understand why 58% of inbound calls to home-services shops never turn into a booked job (ServiceTitan, survey of 3,000+ businesses), and wants to do something about it, Smith.ai stops short. It answers the call. It does not score it, coach the CSR who took it, or flag the moment a winnable conversation went sideways.

That is the dividing line between the two products. This comparison covers what each does today, where each falls short, and which fits your front desk better. For context on what each missed call costs your business, see our breakdown of missed-call economics.

Feature Comparison: Roonly Office vs Smith.ai

Sources: Smith.ai pricing and feature list per smith.ai/pricing and smith.ai/all-features as of July 2026. Roonly Office capabilities per roonly.ai/office as of July 2026.

What Smith.ai Does Well

Smith.ai has operated in the answering-service market for more than a decade, and the product reflects that experience. The hybrid model, where AI screens calls first and escalates to one of 500-plus North American human agents when needed, is genuinely useful for businesses where certain calls are too sensitive or complex for AI alone.

For home services specifically, Smith.ai offers a dedicated category page with natural language handling tuned for service inquiries, urgency routing for emergencies, and bilingual answering in English and Spanish. Its native integrations with ServiceTitan and Housecall Pro mean call notes and lead intake can flow into software many shops already run. Twenty-four-hour coverage handles the late-evening HVAC call or the weekend plumbing emergency without waking anyone on staff.

27% of calls to home-services businesses go unanswered, per Invoca's home-services call analysis. Smith.ai is a direct answer to that problem. For a business currently running with no after-hours coverage, or whose CSRs drop overflow during peak season, the service gets the phone answered.

Pricing is published and predictable. The AI Receptionist tier starts at roughly $95 per month for 50 calls. The Hybrid Virtual Receptionist, which puts a live human agent on standby for every call, starts at $292.50 per month for 30 calls (roughly $9.75 per call) and scales to around $1,950 per month for 300 calls, with no setup fee (per smith.ai/pricing as of July 2026). For a low-volume office that needs basic coverage, that entry point is accessible.

Smith.ai holds a strong rating across major review platforms, reflecting a service that consistently does what it promises: a call comes in, someone answers, information reaches your CRM.

Where Smith.ai Falls Short for Home-Services Offices

The gap is not in answering. It is in what happens to the business because of the call.

Smith.ai does not score or coach your CSR. Smith.ai applies internal quality review to its own agents, a quality program that keeps their service consistent. But that review stays inside Smith.ai. The CSR at your office, the one who fumbled the objection on Tuesday's call, receives no feedback. The same mistake runs again on Wednesday. The call was answered. The job was still lost.

This matters at scale. CSR annual turnover runs 30 to 45% in typical call-center environments, and the replacement cost runs $10,000 to $20,000 per agent (per 2026 call-center attrition roundups from CallForce and Ringly). A coaching gap makes retention harder and exit costs higher. An answering service that routes calls but never develops the team compounds both problems over time.

The conversion gap is significant. Going back to the ServiceTitan figure: 58% of inbound calls to home-services businesses never become booked jobs. That is not 58% of unanswered calls. It is 58% of all inbound calls, many of which were answered by a CSR who did not know how to close. Smith.ai has no mechanism to address that. It answers the call and stops there.

Speed-to-lead compounds the problem further. A lead is 21 times more likely to qualify when contacted within five minutes rather than 30 minutes, per the Oldroyd/InsideSales Lead Response Management Study (2007, MIT). Smith.ai captures the intake. It does not surface which callers need a fast callback or prepare the CSR to handle that follow-up conversation more effectively.

No overlay option. Every call must route to Smith.ai's infrastructure. If a business already runs Voice for Pest, CallRail, GoHighLevel, or any other phone system, adding Smith.ai means configuring call-forwarding or porting numbers. There is no path where coaching starts on existing calls while the current system stays in place untouched.

Per-call pricing at volume. A busy pest-control or roofing office running 200 to 300 inbound calls per month at the human-backed tier will pay well over $1,000 per month. That invoice covers only answering, with no call scoring, CSR coaching, or direct CRM writeback to FieldRoutes or JobNimbus attached.

No field capture. If reps knock doors or run service calls, none of those conversations reach Smith.ai. The coaching gap in the field and the coaching gap in the office are both unaddressed.

The Roonly Office Difference

Roonly Office is built around a different question than "who answers the call?" The question is: what does the business learn from every call, and what does it do with that?

The loop runs from answer to close. An AI receptionist that qualifies and captures booking requests handles overflow, after-hours, and flood conditions. But when a CSR takes the call instead, call scoring on every inbound and outbound call grades that conversation on greeting, discovery, empathy, objection handling, and booking ask. The CSR gets the score, the specific feedback, and a roleplay scenario built from the exact objection they missed on that call. The practice is personalized because it comes from their own calls, not a generic script written for someone else's team.

85% of callers who cannot reach a business on the first try never call back, per Numa's Small Business Phone Report. Getting the call answered is necessary. But a CSR who answers and loses the job provides no lasting improvement without feedback. Roonly delivers that feedback automatically on every call, without a manager needing to review recordings manually or build training materials from scratch.

Overlay, not replacement. Roonly plugs into the CRM and phone system you already run. Calls reach a Roonly number first, where recording and scoring start, and the call then passes through to the existing system. No porting. No carrier change. The coaching starts on the first call. A business on Voice for Pest, CallRail, OpenPhone, Aircall, GoHighLevel, JustCall, or any webhook-capable phone system can add call scoring without switching a single piece of existing infrastructure.

CRM writeback runs automatically after every analyzed call: find-or-create the contact, then log the outcome, score, duration, and a recording link. Live-verified integrations today include FieldRoutes and JobNimbus. ServiceTitan and HubSpot are on the connector roadmap.

Failure-triggered recovery. When a winnable call is lost on a recoverable objection, Roonly flags that moment and turns it into a personalized coaching scenario for the CSR who took it. Answering services re-engage when a CRM status changes. Roonly is built to repair the specific conversation that went wrong. The SMS follow-up layer already surfaces recovery drafts for manager review, with autonomous sending rolling out as 10DLC campaign approvals complete.

One corpus, both surfaces. Smith.ai's picture of the business is built from phone calls alone. Roonly's coaching engine sees calls in the office and conversations from the field, so the platform serves the whole business, not just the front desk. No competing product pairs these two surfaces.

Which One Fits Your Business

Roonly Office is the better fit when:

• You want to understand and improve call conversion, not just cover the phones
• Your CSRs handle inbound calls and you want every call scored and coached automatically
• You run FieldRoutes or JobNimbus and want call outcomes written to the CRM after every call
• You want to add coaching without switching your phone system or porting numbers
• The field team also needs coaching and you want one platform that handles both surfaces

Smith.ai is the better fit when:

• You need human-backed answering quickly with minimal onboarding and no system changes
• Call volume is low and predictable, around 30 to 50 calls per month
• Your calls require human judgment for legal, medical, or complex-routing reasons
• Your primary need is basic 24/7 coverage, not coaching, scoring, or CRM recovery

Frequently Asked Questions

Does Smith.ai coach my CSRs?

No. Smith.ai applies internal quality review to its own agents to maintain service consistency, but that process stays inside Smith.ai and never reaches your team. Your CSR receives no call score, no feedback, and no coaching on individual calls. Roonly Office scores every call your team takes and delivers per-CSR coaching grounded in those actual conversations.

Can I add Smith.ai without changing my phone number?

Partially. Smith.ai requires calls to be forwarded or routed to its infrastructure. You typically keep your existing number and configure a call-forward rule. Roonly's overlay mode works differently: calls pass through a Roonly number before reaching your existing system, so recording and scoring start without callers or your team noticing any change in the call path. No porting required.

Does Smith.ai integrate with FieldRoutes or JobNimbus?

Smith.ai integrates natively with Housecall Pro and ServiceTitan, plus many tools via its app ecosystem (per smith.ai/all-features as of July 2026). FieldRoutes and JobNimbus are not listed as direct native integrations. Roonly Office has live-verified, direct integrations with both FieldRoutes and JobNimbus, writing a scored call note to the contact record after every analyzed call, with no middleware required.

How does Smith.ai pricing compare to Roonly Office at volume?

Smith.ai's Hybrid Virtual Receptionist starts at $292.50 per month for 30 calls. A high-volume pest or roofing office running 200 to 300 inbound calls per month will pay significantly more at the human-backed rate, and that bill covers answering only. Roonly Office is usage-based. Book a demo for a quote.

What is the biggest difference between Smith.ai and Roonly Office?

Smith.ai ends at the hangup. It answers the call, captures a message or lead, and routes that information to your CRM. Roonly Office continues: it scores the call, coaches the CSR who took it, flags winnable calls that were lost, and is built to follow up on the leads that went cold. The loop Smith.ai leaves open is the loop Roonly is designed to close.

Can I run both Smith.ai and Roonly Office at the same time?

Yes, with some setup complexity. Roonly's overlay mode can sit in front of the number you forward to Smith.ai, capturing recordings before calls reach Smith.ai's system. For most home-services offices choosing between the two, the simpler path is to use Roonly's AI receptionist for overflow and after-hours coverage, with the coaching engine scoring every call the team takes directly.

Does Roonly Office have live human agents on backup like Smith.ai?

Roonly does not maintain a pool of human answering agents. When a caller asks to speak with a real person, Roonly transfers the call directly to your team. Smith.ai's human-backup model is a genuine differentiator for businesses where certain calls require a live human on the other end. For home-services offices whose primary need is call coaching, CRM writeback, and conversion improvement, that difference rarely changes the final outcome.