Answer without pulling staff off the floor.
ServiQ handles routine order calls while the team keeps service moving.
AI phone operations for restaurants
ServiQ answers, qualifies, routes, and follows up on customer calls with the calm precision of a trained operator, built for restaurants and local businesses where every ring can become revenue.
Live call
Caller is placing a pickup order and requested an SMS payment link.
Can I get two chicken bowls for pickup around 7?
Absolutely. I can take that order and text you the payment link.
Service proof
The interface, escalation logic, and SMS flow are designed around real pressure points: rushes, after-hours demand, payment follow-up, and calls that need a human handoff.
ServiQ handles routine order calls while the team keeps service moving.
Callers can get menu links, hours, next-step guidance, or a clean callback path.
Transactional SMS keeps payment and pickup details attached to the order.
Staff receive the reason, customer need, and order state before taking over.
Core platform
ServiQ is not a chatbot pasted onto a phone number. It is a call-handling system designed around business rules, order context, consent, and graceful escalation.
Handle rush-hour spikes, after-hours questions, and routine order requests without forcing staff to choose between the phone and the floor.
Menus, availability, prep windows, payment links, SMS consent, and transfer logic stay inside the operating model you approve.
When a customer needs a person, ServiQ transfers with context instead of leaving staff to reconstruct the conversation.
What ServiQ handles
Customers get answers. Staff get clean handoffs. Owners get visibility into the calls that used to disappear.
Answers calls with a consistent, business-aware voice experience.
Guides callers through menu choices, pickup details, and business rules.
Sends confirmations, menu links, payment links, and pickup updates after consent.
Routes complex calls to people with useful context attached.
Operational visibility
ServiQ turns call activity into a readable operating picture: demand, missed-call risk, handoffs, and customer follow-up.
ROI Calculator
Estimate monthly revenue at risk using a simple model: missed calls per day multiplied by average ticket size multiplied by 30 days.
Estimated monthly lost revenue
$6,720
Formula: 8 missed calls x $28 x 30 days.
How ServiQ works
The setup process is designed for operators: business rules first, then call behavior, then launch controls.
Capture hours, menu logic, routing rules, service constraints, and SMS consent requirements.
Configure common customer intents, order-taking patterns, and escalation moments.
Go live with visibility into calls, orders, handoffs, and follow-up patterns.
Integration-ready
ServiQ is structured for workflows across phone infrastructure, ordering, payments, messaging, dashboards, and support systems.
Book a demo
ServiQ pricing should reflect your locations, call volume, order complexity, and integration needs. The first step is a short demo and workflow review.
Request a demoFAQ
Short, direct answers about what ServiQ does and how the experience is intended to work.
ServiQ answers phone calls, helps customers place orders, sends transactional SMS updates, and escalates to staff when a human should take over.
Restaurants are the primary focus, but the platform is designed for local businesses that rely on phone calls, appointments, orders, or customer follow-up.
Yes. ServiQ sends transactional SMS messages such as order confirmations, payment links, menu links, pickup notices, and support information after customer consent.
The onboarding flow is designed to be lightweight. A typical pilot can begin after the business rules, menu or service details, routing preferences, and SMS requirements are configured.
ServiQ is designed to protect staff focus. It handles repetitive call and order workflows while transferring customers to staff when the situation calls for a person.
Contact
Tell us about your business and the call experience you want customers to have. The production form is structured for a future Resend-backed Next.js API route.