Restaurant and hospitality groups
How long does it take you to know what happened yesterday in every venue?
Without chasing it on a group chat, without a spreadsheet, without waiting for the month to close. The data is already in your till, your inventory, your rotas and your bookings: what is missing is for them to talk to each other, not for you to replace them.
- Point of saleLive sales
- InventoryWhat is really used
- RotasShifts and hours
- BookingsToday's occupancy
- AccountingCosts and margin
What a group's week looks like
Four things that repeat in nearly every group, and what happens to each one once the system is in.
You find out at month end, when there is nothing left to fix. And when it lands, the till says one thing and the books say another.
Every morning you have yesterday's close for every venue in one place, without asking anyone for it.
What actually leaves the store does not match the recipe, and the dish you thought was profitable was not.
Real consumption against the recipe, dish by dish and venue by venue, the same day it happens.
Staff planned against demand that was already sitting in the bookings, and the gap is paid for by the service or by the payroll.
Rotas are read against the demand already sitting in the bookings, before they are published.
You post an ad and a hundred applications come in. Twenty survive, and you read them one by one. Meanwhile the shift is still uncovered and the HR inbox holds years of CVs nobody has opened.
Applications arrive scored, with the shortlist already drawn. You decide who to call.
Your industry's playbook
One model of your group
Your systems stop being five islands and start feeding one model of the business. Out of that model come the agents that work on your day.
One model of your business
Runs on your own infrastructure.
- Unifies your informationData, processes and people
- Understands your operationWith AI that knows your context
- Turns context into decisionsActions that move the business
The agents it brings
AI that does the work, not just chat.
From information to action.
- AdvisorHelps you decide
- Talk to your businessIn plain language
- SentinelWatches and alerts
- Candidate screeningShortlists talent
What it connects
It is built on the systems you already run
Already connected
Spain and Portugal
- Revo
- Yurest
- GStock
- Skello
- Holded
- CoverManager
The ones we meet elsewhere
Australia
- Lightspeed
- Impos
- Deputy
- Xero
- MYOB
Colombia
- Alegra
- Siigo
- Loggro
- Toteat
Yours
If it is not on this list it comes in the same way: the work is reading what you already have, not moving you to another tool.
The rules, country by country
What they ask for, you already have
Each country asks for a different slice of your operation. If that data already lives in one place, answering is running a report.
Spain
Verifactu
- They ask for
- Every invoice signed as it is issued. Companies, January 2027.
- With the system
- Every till sale squared against its own invoice.
Portugal
AT-certified invoicing
- They ask for
- ATCUD and QR on every invoice. The month's SAF-T, before the fifth.
- With the system
- The month already closed when the date arrives.
Australia
Fair Work and STP
- They ask for
- Every pay run to the ATO. Seven years of records.
- With the system
- Hours, shifts and penalty rates against each venue's sales.
Colombia
DIAN
- They ask for
- Electronic POS ticket. Payroll monthly, from five employees up.
- With the system
- Sales and payroll in one picture, with no hand-matching.
Operating somewhere else?
The format changes. What has to be underneath does not: your operation's data, complete and in one place you can pull it from.
It already runs this way in a group like yours.
Venues in Spain and Portugal, on their own infrastructure, every day.
Restaurant and hospitality groups
AI at the centre of a restaurant group's operation
A Peruvian kitchen group with venues in Spain and Portugal. Five platforms that never spoke to each other, and a management team rebuilding the picture of the business by hand, every week.
- Today an automated advisor and a conversational agent run daily on one model of the group.
- It all runs on their own infrastructure, under their domain.
How it gets built
In parts, and each part already pays its way
Let's look at your operation.
A thirty-minute call, venue by venue. We leave with a map of where your time and money go, and the first hole worth closing. If we see nothing worth doing, we say so.
Let's begin