Start with the real work
AI and ordering use cases for London restaurants
For an independent London restaurant, direct collection can be a smaller first step than building a full delivery marketplace. The key decisions are order cut-off, collection capacity and how staff mark a dish unavailable. An AI assistant can explain approved ordering information, but should not improvise ingredient or allergen advice.
A focused first releaseStart small.
Start small.
Make the next step clear.
Launch collection ordering for one menu and a limited set of time slots. Test sold-out items, failed payments and late collections. Keep the kitchen’s status controls simple enough to use during a busy service, then compare the cost of supervising orders with the old phone process.
Catering briefs complete on arrival
Customer status calls during service
Designed-in boundariesUseful automation.
Useful automation.
Human judgement.
People keep the important decisions. These are the checks we design into your workflow from the start.
01 / Built in
Verified food information
Never infer allergen safety from a generated description.
02 / Built in
Your menu, your control
Keep menu, availability and pricing under restaurant control.
03 / Built in
Exceptions reach the team
Use a clear escalation path for substitutions and complaints.
Your questions.
Answered.
Get in touch.
Let’s make it happen.
Tell us where work gets stuck. We’ll shape a solution around your people, your tools and the way your business actually runs.
info@codoki.ai- ✓A conversation with the founders
- ✓Plain-speaking, practical advice
- ✓A clear idea of what comes next