Have questions about DineAI? Want to see a demo? Need help with your account? We're a Minnesota-based team and we'd love to hear from you.
hello@trydineai.io
We typically respond within 2 hours during business hours.
Restaurant walkthrough
See how an AI phone receptionist handles your menu, orders, and call flow.
Minneapolis, MN
Proudly built in Minnesota, serving restaurants nationwide.
Under 2 hours
During business hours. After hours, we respond first thing next morning.
Restaurant operators usually contact DineAI to confirm whether AI phone answering fits their menu, call volume, POS setup, and staffing model. The most common questions are about Square or Toast integration, menu import quality, custom voice options, multilingual calls, call transfers, recordings, and how quickly a restaurant can go live.
A useful demo starts with the restaurant's real call flow. DineAI can walk through what happens when a customer asks about hours, places a takeout order, requests modifications, asks for catering, or needs to speak with a manager. That makes the conversation practical instead of abstract.
If you are comparing DineAI against a staff phone role, an answering service, or a VoIP-only setup, share your average call volume, peak hours, current POS, and biggest phone-order problems. That context makes it easier to recommend the right plan and avoid paying for features you do not need.
For the fastest response, include your restaurant name, city, POS system, menu size, and the kind of calls you want handled. If you already know the issue, such as missed lunch orders, staff interruptions, catering calls, or multilingual support, mention that too. The team can then focus the demo on the workflow that matters.
DineAI can also help with early evaluation before a restaurant is ready to launch. Operators often use the first conversation to decide whether to forward an existing number, use a new number, start with order capture only, or connect a POS from day one. Those choices affect setup, pricing, testing, and staff training.
If you are not sure what to ask, start with your busiest call window and the calls your team least wants to answer during service. Common examples include repeated hour questions, menu questions, order-status calls, large takeout orders, catering requests, and callers who need a clean handoff to a manager.
A good first test is simple: pick three real calls your team receives often and run them through the proposed DineAI setup. For example, test a normal takeout order, a complicated modifier-heavy order, and a caller who should be transferred. That shows whether the AI is ready for your actual customers instead of only a generic demo.
You can also ask about privacy, recordings, data retention, and consent language for your state. Restaurants that record or transcribe calls should understand how call data is stored, who can review it, and how long recordings remain available in the dashboard.