Smith.ai vs Ruby for answering your business calls
Smith.ai and Ruby both answer the calls you miss. What each is built for, where people and software fit in, and which suits which kind of business.
A lot of the owners we have spoken with this summer share the same complaint: the busiest weeks of the year are also the weeks the phone rings out. The roofer is on a roof, the groomer has a dog on the table, the clinic’s front desk is checking someone out. The call goes to voicemail, and plenty of callers do not leave one. They ring the next business on the list.
The usual fix is paying someone to answer. Two names come up again and again when owners start looking: Smith.ai and Ruby. Both answer calls in your business name, and both are established names in remote reception. They are not the same service, though, and the difference matters more now that AI answering shows up in every sales pitch.
Decide what the answering is for
Before comparing the two, be clear about the job. Four questions sort most businesses:
- Messages or outcomes? Some businesses need a polite message taken and sent on. Others need the caller qualified, booked into a calendar and entered into the CRM.
- Warmth or throughput? A law office, a therapist or a family business may care most about how the caller feels. A busy service company may care most that every call is captured and routed.
- Office hours or around the clock? Overnight emergencies change the answer.
- How much may software handle? This is the new question this year. Some owners are happy for automation to take routine calls. Others want a person on every one.
Smith.ai: receptionists with automation behind them
Smith.ai sells virtual receptionists who answer, screen and qualify calls, book appointments and log what happened in the tools a business already uses. Its pitch pairs human receptionists with AI and automation, and it covers website chat as well as the phone.
Its strengths are process and integration. Smith.ai is at its best when a call has a defined job: intake questions, a qualification script, a booking in a shared calendar and a record in the CRM. For a business with a clear lead process, the call can arrive as a finished lead instead of a message to return.
Worth checking before you sign: how much of a given call a person handles and how much software handles, how calls and minutes are counted, and how spam and sales calls are screened on your plan. Those details vary, so get them in writing.
Ruby: the conversation as the product
Ruby is a live virtual receptionist service built around the caller’s experience. Its pitch is warmth: a real person answering in your company’s name, following your instructions, putting calls through to you or taking a message, with an app that lets you set your availability and decide where calls go.
Its strength is consistency of tone. Where the first conversation is personal, where the caller may be anxious or upset, or where the relationship is what you sell, Ruby’s focus on the human conversation is exactly the point. It suits owners who want the phone answered the way a good in-house receptionist would, and who still want to take plenty of calls themselves.
Worth checking: coverage hours, what happens on a transfer when you do not pick up, what details the receptionist can collect, and whether it connects to your calendar or CRM. Ask for the specifics in writing.
Smith.ai and Ruby side by side
| Smith.ai | Ruby | |
|---|---|---|
| Built around | Qualifying, booking and logging calls | A warm, personal greeting and careful call handling |
| Suits | Businesses with a defined lead or intake process | Relationship businesses and owners who take many calls themselves |
| How calls are handled | Receptionists with AI and automation in the workflow | Live receptionists working from your instructions |
| Beyond the phone | Website chat and CRM integrations | An app for routing, availability and messages |
| Records and data | Ask where call records live and whether they sync to your CRM | Ask the same, and how you export them |
| Ask before signing | How calls are counted, and which calls a person takes | Coverage hours, and how transfers work |
Pros and cons
Smith.ai
Pros:
- Calls can end as qualified, booked leads rather than messages
- Connects with a range of CRMs and calendars
- Phone and chat handled under one service
- A good match for businesses with a written intake process
Cons:
- Needs a well-written script and intake process to be at its best
- The mix of human and automated handling needs to be understood up front
- More setup than a simple message-taking service
Ruby
Pros:
- Strong focus on a warm, human caller experience
- Straightforward for message taking and transfers
- The app gives the owner control over where calls go
- Suits businesses where the call itself is part of the service
Cons:
- If you need a long qualification or intake script, confirm what is supported
- Check how it connects to your booking tool and CRM if you run a lead-heavy business
- If you want every call finished as a booking, ask what the receptionists can do in your calendar
Which business fits which
A family law practice or a counselor. Ruby’s emphasis on how the caller feels fits well. The first call sets the tone for the whole relationship.
A roofing or HVAC company in the middle of a hot August. Smith.ai’s qualification and booking fits better. What matters is that every call becomes a job on the board, not a message that waits until the evening.
A solo consultant who wants to take most calls, but not all. Ruby’s call transfers and app control suit an owner who is often available.
A service business with a CRM already running. Smith.ai, provided your CRM is one it supports.
A third route: answering inside your own system
Over the past year AI voice agents have become good enough to answer, qualify and book routine calls, and we have been building them for local businesses since the technology became usable. We build the agent on the same CRM that holds your leads, write its script from your own recorded calls, and give it plain rules for handing the caller to a person. It answers in your business name at two in the morning, books into your calendar and leaves a transcript on the contact record, and you own the CRM, the number and every record from day one.
We have worked with local businesses since 2015, and the same team that builds the agent also runs the ads, the Google profile and the website that make the phone ring. That is why our reports can show which campaign produced a call and which call became a booking. We size it to a small business’s call volume. It is not the right answer for everyone: if your callers expect a person every time, one of the two services above is the better choice, and we will tell you so.
Owners who want to hear what an agent sounds like on their own kind of calls can start with our AI agents page. The rest of what we run for owners, from the profile to the CRM, is on the page for local businesses.
Written August 7, 2024, and kept as written. Platforms, features and policies mentioned here are described as they stood at the time.
AI Voice & Chat Agents is part of what we run for clients.
This was written in August 2024, and the platforms have moved on since. We will check where your business stands today and tell you what to do first.