Customer-data handling for cafes and hospitality
Customer-data handling is the control that decides what information is allowed to leave your own systems. Someone has to name which fields may be sent to an AI tool, which are masked or removed first, and where the outputs are stored afterwards. Australian organisations already think about personal information under the Privacy Act, and AI tools are simply another place it can travel.
( The Detail )
What this control means in practice
The practical test is a short data map: what you hold, where it sits, which tools touch it, and who can see the results. If nobody in the room can answer those four questions during a meeting, the control does not exist yet, no matter how carefully the policy has been worded.
Realistic for this kind of team
Hospitality teams run on shift work, high turnover and thin admin time, so any control that needs a meeting will not survive. Governance here means a couple of clear rules a new casual can absorb in one shift: which accounts they use, what they never post without a check, and who to ask when unsure.
The exposure is mostly rosters, supplier terms and customer contact details from bookings or loyalty lists. Little of that needs to enter an AI tool. Keeping use to menu drafting, roster planning inputs and supplier comparisons avoids most of the risk without needing a policy anyone has to enforce.
How to approach it
Begin with the decision rather than the tool. Name the recurring judgement this affects, the information it depends on, and the person accountable for acting on the result. That framing keeps the first build small enough to inspect and useful enough to matter.
Keep a human review point in the loop until the quality and the failure modes are understood. A system that shows its working - what it drew on, where it is uncertain, and what it deliberately left alone - is one a business can keep running after the initial build.
( Next Step )
Start small enough to review, but on a workflow important enough to show whether a better system is worth building.