What we automate
We build systems that integrate with the operational reality of Australian businesses in this sector. Common workflows we automate end to end:
- Rostering built against forecast covers, trade and event calendar
- Wage to revenue and prime cost tracked daily rather than at month end
- Supplier invoice coding to venue, category and account
- Stock variance between theoretical and actual usage, by venue
- A single group reporting view across venues on different systems
- Review and guest feedback triage with drafted responses
- Booking pace and demand signals surfaced early enough to act on
The realities we build around
Margin is made or lost daily in two numbers, wages and cost of goods, and both are usually known accurately only weeks later.
A group of venues is rarely one system. Acquisitions arrive with their own point of sale, their own roster tool and their own chart of accounts.
Award interpretation is genuinely complicated, and a rostering decision made on instinct at 4pm can be an underpayment finding later.
The people running the venue are on the floor. Reporting that requires a desk is reporting that does not get read.
Why work with us
Hospitality work built for how Australian venue groups actually operate: daily margin decisions, mixed systems across sites, complicated award interpretation, and operators who are on the floor rather than at a desk. We build the operating view that makes the daily numbers usable while the day is still fixable.
Where most AI in this sector goes wrong
Most AI sold into hospitality is either a marketing tool or a demand forecast with no connection to the roster it should be driving. The fragmented patterns: forecasting that predicts covers but never reaches the rostering decision; "AI for reviews" that drafts replies while the operational cause of the complaint goes unexamined; group dashboards that only work if every venue runs the same point of sale, which they never do; and cost of goods reporting that arrives after the month it could have been changed. In a venue, information that arrives late is entertainment, not management.
Systems we integrate against
Hospitality engagements integrate against whatever you run: your point of sale, your rostering and time system, your reservations platform, your property and channel management on the accommodation side, and your accounting and stock systems. We do not publish a supported-vendor list: line of business applications, online software, on premise or in the cloud, current or long abandoned by its vendor. If it holds the data, we integrate with it, and if it is not named here that is not a limitation. Most AU groups run a different mix at every venue because of how the group was assembled. Integration is the value: normalising a group of venues into one comparable view is usually the first thing worth building.
If your stack isn’t listed above, reach out anyway. The systems vary by industry but the integration patterns don’t. We can usually work with whatever you’re running. Tell us your stack.
Regulatory and compliance landscape
Australian hospitality operates under the Fair Work framework with the Hospitality Industry General Award and the Restaurant Industry Award governing penalty rates, breaks and casual conversion, and underpayment exposure that has become a board-level risk. Liquor licensing is state-based with responsible service obligations and licensee accountability. Food safety is governed by the Food Standards Code with state enforcement and food safety supervisor requirements. Privacy obligations apply to guest data, and the Spam Act to marketing. We design rostering and reporting so award interpretation is applied consistently and the decision trail exists, rather than living in a manager’s judgement at the end of a long shift.
Operational outcomes we move
Defensible outcomes on hospitality engagements: wage to revenue held at target because the roster is built against forecast rather than habit; prime cost visible daily so a bad week is caught in the week; supplier invoices coded to the right venue and category without an office day; stock variance surfaced by venue and by category rather than as a group total that hides it; and a group view that lets a multi-venue operator compare sites that run different systems.
Common deployment patterns
Common deployment patterns for AU venue groups: a forecasting and rostering assistant that proposes a roster against expected trade and the applicable award, for a manager to approve; supplier invoice coding to venue and category; a daily operating brief that lands before service with the numbers that can still be changed; stock variance analysis by venue; and a group normalisation layer that makes venues on different systems comparable.
Related Bedstone services
Groups typically pair this with AI accounts for supplier invoices and inter-venue recharges, operational tooling across sites, and agents for guest and review handling. Or look at Bedstone OS for one workspace across point of sale, rostering, bookings and accounting.
How we engage
Five-step delivery, scoped to fit. Audit, scope sprint, proof of concept, verification, rollout. Wrapped as a fixed-scope sprint, monthly retainer, fractional engagement, or one-off audit. See services for the full process and commercial structures.
Common questions
Our venues all run different systems. Is that a problem?
It is the normal starting point and usually the first thing worth fixing. We build a normalisation layer so venues on different point of sale and rostering systems become comparable, without forcing a migration nobody has appetite for.
Does it build the roster automatically?
It proposes one, against forecast trade and the applicable award, and a manager approves it. Rostering decisions carry real legal exposure and local knowledge the system does not have, so the manager stays in the loop by design.
Can it interpret the hospitality award?
It applies the award rules you configure, consistently, and shows the cost consequence of a roster before it is published. It is not legal advice and does not replace your employment adviser. What it removes is inconsistent interpretation at 4pm on a Friday.
How fast can we see something?
The group reporting view is usually the fastest thing to stand up because it reads from systems already running. Rostering and cost of goods work follows once the data is normalised and trusted.
Across Australia
We work with operators in this sector across the country. See city-specific context: AI agency Australia, Brisbane, Sydney, Melbourne, Perth.