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Productivity14 days

RingFront AI

An AI voice receptionist that answers calls, captures leads, and never takes a day off.

R
RingFront AIDemo coming soon
92%
Calls handled without human intervention
<2 rings
Average response time
150+
Leads captured per month
14 days
Time from brief to live

The problem

Small businesses and solo professionals lose revenue every time a call goes to voicemail. Hiring a full-time receptionist costs more than most startups can justify. Traditional IVR menus frustrate callers who just want a quick answer about hours or pricing. The gap between 'missed call' and 'lost customer' is about 30 seconds. Most callers hang up and try the next listing on Google.

What we built

We built an AI voice agent that picks up every call within two rings. No robotic menu trees. No hold music. The AI speaks naturally, handles FAQs using the business owner's own answers, and logs every caller's intent for follow-up. Business owners get a dedicated phone number in minutes. They plug in their services, hours, and common questions. The AI handles the rest. Call summaries land in a clean dashboard so nothing slips through.

Instant Number Provisioning

Purchase a dedicated business number from inside the app. Active and receiving calls within five minutes of setup.

Natural Voice Conversations

Advanced AI delivers human-like responses instead of robotic IVR prompts. Callers get real answers, not menu options.

Custom FAQ Engine

Business owners input their services, pricing, and hours. The AI references this data in real-time during calls.

Lead Capture

Every call logs the caller's name, intent, and contact details automatically. No manual data entry needed.

Call Summaries

Post-call summaries with key points, caller sentiment, and recommended follow-up actions delivered to the dashboard.

Business Hours Logic

Different responses for business hours vs. after hours. Configurable per day of the week with holiday overrides.

Build timeline

Day 1-2Scoping + telephony architecture
Day 3-5Number provisioning + AI voice engine
Day 6-8FAQ configuration + call handling logic
Day 9-11Lead dashboard + call summaries
Day 12-14Testing, edge cases, deploy
“I used to check voicemail at lunch and find three missed appointments. Now the AI books them before I finish my morning coffee.”
Dr. Anita R. · Solo Dental Practitioner