Map
We mapped the operating challenge
Bookings, review replies, staff messages, and menu updates were landing with the manager during the busiest parts of the day.
Restaurants case study
How a restaurant reduced pre-service admin without weakening hospitality.
Booking changes, review replies, staff messages, and menu updates were landing before service. This case study shows how approval-led workflows helped admin move while managers kept control.
The starting point
The restaurant handled booking changes, function enquiries, menu updates, staff messages, reviews, and social content while managers were also preparing for service.
Admin work arrived in bursts and often landed with the owner or manager. The team needed support that did not sound generic, overpromise availability, or publish public replies without approval.
What we did across the engagement
After the starting point was clear, we moved through four practical steps: mapping the challenge, defining where AI could safely help, putting the workflow in place, and setting the handoffs and review points that kept judgement with the team.
Define
We defined AI's role and boundaries
Response support, routing, and recurring reminders could be automated, but availability, public replies, and brand tone needed manager approval.
Set up
We put the workflow in place
We connected booking changes, review handling, approval flows, staff updates, and recurring manager tasks into a clearer pre-service workflow.
Control
We kept control with the team
Before the workflow was treated as live, we set the ownership, handoff rules, and review points for sensitive requests. Routine work could move faster, while judgement stayed with the team.
The results
The change showed up in the day-to-day work: fewer things slipping through, cleaner handoffs, and clearer ownership for the team.
- Less admin pressure on managers before service
- More consistent review and enquiry response
- Clear approval points for anything public-facing
Bring us the workflow your team keeps having to work around.
You do not need to know the right solution yet. Share what is slowing the team down and we will help shape the next move.