Prep follows the current service
Show the covers and menu assumptions behind the dish proposal so managers can challenge the plan.
For venue owners and hospitality managers in Australia
AI automation for hospitality businessesPut the whole service plan on the same page.
Compare a fixed 100-cover plan with a late booking change and short delivery. See the dish quantity and supply gap before a manager chooses the response.
Built around your working day
A late change should reach every station.
Bookings change, deliveries arrive short and the kitchen still needs a clear plan. We connect covers, menu assumptions, usable stock and manager decisions so prep, purchasing and staffing drafts respond to the same information.
Your current tools matter. your bookings platform, POS, inventory and roster systems are useful starting points for scoping. We check the actual records, access and supported actions in your account before promising a connection.
What changes for you
Short deliveries reach the kitchen plan
Recalculate the supply gap against usable portions before sharing revised station instructions.
Every draft carries the manager’s version
Keep purchasing, prep and roster proposals attached to the same approved service plan.
Example system · Simulated business data
One change updates the whole service plan.
Compare a fixed 100-cover plan with a late booking change and short delivery. See the dish quantity and supply gap before a manager chooses the response.
Fixed assumptions of 100 covers and 70% dish selection produce a 70-dish proposal.
HV-02 / BK-v1 / BK-v2 / v1 · example reviewThe complete architecture
Selected stage Conditional path Held or changed
Blue connections show the scenario path. Stage selection changes explanation only. Dashed paths need a new decision.
01 / Source control
Align the service window
Match booking snapshots and POS context to the same venue and service period. Distinguish confirmed records from manually supplied planning assumptions. The example manager reviews the 10-portion supply gap before preparing station and order drafts. The selection rate is a supplied assumption, not a forecast result.
Prepared with an example human decision
Service source register / simulated
10portion supply gap
HV-02-v1 · manager service plan
| Source or item | Recorded value | Decision |
|---|---|---|
| BK-v1 / MA-02 | 100 covers × 70% | 70 proposed dishes |
| ST-03 | 60 usable portions | Current count |
| Supply gap | 10 portions | 70 − 60 |
| Team availability | Manager check | No staffing-law decision |
The example manager reviews the 10-portion supply gap before preparing station and order drafts. The selection rate is a supplied assumption, not a forecast result.
- Prepare a 70-dish station proposal with its assumptions.
- Put the 10-portion supply need to the venue manager.
- Attach the manager’s choice to purchasing and roster drafts.
Inspecting window · scenario output stays tied to its recorded decision
Inspect shared state, version history and event trace
Venue and service period
Fixed example assumption of 100 covers for one service.
POS window and menu assumption
Historical window is context only. The 70% selection rate is a fixed supplied input.
Stock and delivery
60 usable portions in the initial stock input.
Service plan versions
70 proposed dishes and 10 portions to source.
Demand rates are fixed example assumptions. Responsible staff decide substitutions, food handling and staffing. Captured records do not establish food safety or compliance.
Read the complete system walkthrough
01 / Source control
Align the service window
Match booking snapshots and POS context to the same venue and service period. Distinguish confirmed records from manually supplied planning assumptions.
What you receive Service source register.
02 / Explicit assumptions
Calculate the prep proposal
Apply the fixed 70% dish-selection assumption to the example cover count. Show the multiplication rather than presenting the result as a predictive model.
What you receive Dish quantity proposal.
03 / Independent checks
Join stock, waste and delivery
Bring usable stock and supplier notice together, preserving units and timestamps. A short delivery changes the usable quantity and therefore the supply gap.
What you receive Portion and supply comparison.
04 / Human decision
Let the manager choose the response
Present supply, menu and capacity options with the changed assumptions. Responsible staff decide substitutions, food handling and any staffing response.
What you receive Manager option sheet.
05 / Version and variance
Prepare the service and learn from it
Prepare station, purchasing and roster drafts from the manager’s plan version. Later service outcomes can be compared with the proposal without rewriting the earlier assumptions.
What you receive Service draft and variance register.
Demand rates are fixed example assumptions. Responsible staff decide substitutions, food handling and staffing. Captured records do not establish food safety or compliance.
The decision stays with your team
Useful evidence. Clear responsibility.
Demand rates are fixed example assumptions. Responsible staff decide substitutions, food handling and staffing. Captured records do not establish food safety or compliance.
FSANZ describes evidence of critical food-safety controls for businesses within the tool’s scope. A forecast or captured record does not replace responsible staff or establish compliance. FSANZ evidence tool ↗
Primary source checked . This original example illustrates a design, not a delivered client result.
What it costs
Scope the whole handover.
Booking and POS windows, recipe assumptions, stock units, waste records and supplier updates shape the scope. Start with one service period and a clear manager approval step.
We map the current process, agree the review points and put the scope, fixed fee and payback estimate in writing. Software and usage costs are considered separately. Your own baseline determines the business case.
Automation builds
From $3,500 AUDOne process, rebuilt to run without you. Monitoring and documentation included.
Typical projects
$3,500 to $12,000 AUDSeveral connected processes across two or more systems, where the data needs cleaning first.
Complex AI agent systems
$12,000 to $25,000 AUDAgents that read unstructured information, decide and write back, with human review and a full audit trail.
Ongoing care plans
$750 to $2,500 AUD per monthPriced on how much you run and what your business loses the day one of them stops.
When something breaks
Know what stopped and what is still safe to continue.
An absent booking update can invalidate prep while every previous run looks successful. We monitor expected changes, empty stock responses and failed draft writes, preserving the service period and plan version during recovery.
We design checks for a run that fails, a run that returns nothing and a run that never starts. The care scope names the person who receives an alert, the information they need and how a held record returns to review.
You own the workflows and accounts. Handover includes the record identifiers, review rules and recovery instructions. No lock-in is required to keep your work.
See ongoing supportBefore you decide
Your questions, answered
Is the example predicting demand?
No. It uses fixed inputs of 100 or 130 covers and a supplied 70% selection assumption. We show the arithmetic so you can inspect the effect of a changed input.
Can automation choose menu substitutions?
That decision stays with responsible venue staff. Availability is only one consideration. The example does not assess allergens, food handling or whether a substitution is appropriate.
Does collecting food-safety records make us compliant?
No. FSANZ’s evidence tool has a defined scope and record requirements. Capturing a record or showing an alert does not establish that a control was performed correctly or replace trained staff.
Can this connect bookings, POS and rosters?
We assess the exact records and operations exposed by your current platforms, including time windows, units, permissions and update frequency. Familiar tool categories do not prove connector coverage.
What happens when a large booking moves?
The new booking version changes the affected service assumptions. Prep and supply proposals are recalculated and returned to the manager before downstream drafts change.
Can we start with one venue?
Yes. One venue and one service period provide a useful boundary for checking booking changes, stock units and manager decisions before extending the process.
For work with several evidence lanes, version changes and explicit review gates, our n8n operating model explains the orchestration decisions. The platform choice still depends on your access, maintenance capacity and data path.
A useful first conversation
Bring one process that keeps getting stuck
Show us where the records arrive, who makes the decision and what the next person needs. We will map a useful first scope with you.
Book a call