I run a small hardware store and my part timer was spending a genuinely absurd chunk of her shift just answering the phone for stock questions, do you have this size, is that brand in right now, stuff she had to walk over and check every single time anyway. Set up AIR with our actual inventory info loaded in, and now it answers a good chunk of those on its own, only ringing through to her when it's something more specific it can't handle. She actually mentioned unprompted that she gets way more done on slow weekday afternoons now. Review collected by and hosted on G2.com.

Inventory changes daily for us and keeping AIR's answers matched to what's actually on the shelf means someone has to remember to update it, which honestly slipped for a week once and it confidently told a customer we had something we'd actually sold out of days earlier. Review collected by and hosted on G2.com.

this one's a bit funny, I actually run a dental practice and set this up myself, but the moment that really sold me was texting the office number to move my own kid's appointment because I was testing it, and the reply felt natural enough that I forgot for a second I was talking to a bot and not our front desk person. It rescheduled it against our actual Calendly setup instantly, no hold music, no "let me check." The Shopify piece isn't relevant to us obviously, but the SMS support catching texts 24/7 has meant patients messaging at 10pm about tomorrow's appointment actually get an answer instead of it sitting unread till morning. Review collected by and hosted on G2.com.

The per-minute pricing thing bit us harder than expected honestly. Ran higher call volume one month than usual and the extra-minute charges added up more than I budgeted for, wish that part had been clearer upfront instead of something I figured out from the bill. Review collected by and hosted on G2.com.

We've got three storefronts in different cities and before AIR, a caller from any location got the exact same generic greeting and hours regardless of which store they'd actually dialed, which caused mixups when someone showed up expecting hours from one location that didn't apply to the one they called. Set up custom greetings, hours, and routing per location, so a Portland caller hears Portland-specific info and a Phoenix caller gets Phoenix's actual hours instead of a copy-paste script. Follow-up texts after calls have also cut down no-shows, people get a confirmation text right after booking instead of just trusting they remembered correctly. Review collected by and hosted on G2.com.

Setting up separate routing and greetings for all three locations individually took more time upfront than a single generic setup would've, had to go through each location's specific hours and staff routing one at a time instead of applying one config everywhere. Review collected by and hosted on G2.com.

What I like most about RingCentral AI Receptionist is how well it handles routine calls and common customer questions without needing someone from the team to answer every call. The setup and interface are straightforward, and the AI can respond quickly and consistently. It also helps reduce missed calls and saves time on repetitive tasks, which makes it easier for the team to focus on more important work. I particularly find the automation useful when call volumes are high or when no one is immediately available to pick up. Review collected by and hosted on G2.com.

The AI can sometimes struggle with more complex or unexpected questions, especially when the caller explains something in an unusual way. There are also situations where the responses feel a little too scripted compared with speaking to a real person. It would be helpful to have more control over how the AI handles different scenarios and to make customization easier for specific business needs. Review collected by and hosted on G2.com.

One thing I’ve liked more as I’ve used AIR is how quickly it can handle the initial part of a conversation without making the caller feel like they are going through a rigid IVR menu. The ability to capture the caller’s intent and relevant details before transferring the call also makes handoffs more useful. I also like that it can take care of repetitive questions consistently, which gives the team more time to focus on calls that actually need human attention. Review collected by and hosted on G2.com.

I’d like to see better handling of context when a call gets transferred between AIR and a human. Sometimes the receiving person may still need to ask questions that the caller has already answered. It would be more useful if the full conversation context and the information collected by AIR were always carried over clearly with the handoff. More granular controls for customizing how AIR responds to different types of callers would also make it easier to tailor the experience to specific business workflows. Review collected by and hosted on G2.com.

It automatically handles customer call 24/7 and routes them to the right person, which saves a lot of time for our team.

The AI capability is impressive. It manages multiple calls at the same time without any delay and provides clear, automated responses.

In our customer support department, we handle over 200+ inbound enquiries daily. What I like best about RingCentral AIR is its ability to seamlessly manage this high volume 24/7 without missing a single call. Before this, our small team spent hours manually transferring calls, which often led to long wait time. Now, the AI accurately route clients to the right account manager based on their query instantly Review collected by and hosted on G2.com.

The initial setup and configuration can be a bit complicated for beginners, and the pricing could be more budget-friendly.

Sometimes the AI struggles to understand complex accents, requiring human intervention.

The initial setup and onboarding process took our IT team longer than expected because configuring the custom routing rules for different departments can be tricky for beginners. Review collected by and hosted on G2.com.

The best part about this tool is the instant call routing accuracy. In our program development workflows, we often get calls from clients requiring different engineering pods. The AI is smart enough to listen to the specific issue and connect them to the exact technical team instantly. It keeps our phone lines open 24/7 without needing a dedicated team member on standby at night. This has saved us hours of internal coordination and significantly minimized our call drop rates. Review collected by and hosted on G2.com.

The dashboard and reporting metrics can feel a bit basic when you are looking for deep analytics on caller drop-offs. Also, integrating it seamlessly with our specific internal CRM tools took quite a bit of manual troubleshooting during the initial setup phase. The conversational AI works flawlessly for straightforward requests, but if a client speaks too fast or uses very specific technical jargon right away, it sometimes misinterprets the intent and loops back, forcing the user to repeat themselves. Review collected by and hosted on G2.com.

The service provides a comprehensive AI-driven solution for managing customer interactions via voice. It automates routine inquiries, facilitates smart call routing, and offers a no-code setup for easy deployment. However, pricing constraints and limitations in handling complex queries may affect its overall effectiveness. Review collected by and hosted on G2.com.

Automates FAQs: instantly answers routine questions using your website data, drastically reducing front-desk workload. Smart routing and handoffs: transfers complex calls to human staff along with a text summary of the caller intent. Easy no-code setup: deploys in minutes just by feeding it your business URL or documents. Books appointment: syncs with calendars to schedule meetings directly and automatically logs lead data into CRMs. 24/7 conversational voice: replaces rigid phone menus with a natural, human-like AI available round-the-clock. Review collected by and hosted on G2.com.

One thing I appreciated was how quickly the platform could be configured for every business use. The AI handles common customer questions in a conversational way instead of relying on traditional phone menus, which makes the experience smoother for callers. I also found the call routing to be reliable, and having conversation summaries available afterward make it easier to keep track of customer interactions. Overall, it helps reduce the time spent answering repetitive calls and allows the team to focus on more important work. Review collected by and hosted on G2.com.

There is still room for improvement when dealing with unusual or very derailed customer requests, where a live representative is often needed. I also think additional customization options for responses and workflows would make it even more flexible for businesses with unique requirements. Review collected by and hosted on G2.com.

Our support team used to get overloaded with calls that weren't even for them. They would answer, realize the person actually needed sales or finance, and then have to transfer the call. With AIR, those calls can go to the right team from the start, so support spends less time filtering calls and more time actually helping customers. Review collected by and hosted on G2.com.

Sometimes it can be frustrating for patients who have a hard time with the AI. We've had a few calls where the patient finally reached an agent already annoyed because they felt like they had wasted time trying to get through the automated part first. Review collected by and hosted on G2.com.