AI-powered restaurant operations
AI handles the first pass on task photos and delivery bills, helping your team review, act, and follow through with context. Bring daily standards, evidence, inventory, production, and follow-up into one operating record.
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| Instead of | With TenorOps |
|---|---|
| Task photos lost in chat groups | Evidence attached to the checklist step, with AI flagging work that looks incomplete |
| Bills retyped into spreadsheets | Photographed bills become editable receipt drafts |
| Paper checklists on a clipboard | Scheduled checklists with evidence, on the phones your team already uses |
| Calling each location for updates | One operating picture across your locations |
| Follow-ups forgotten in conversation | Corrective work with an owner and a recorded outcome |
AI assists the review. Your team controls the decision.
AI assesses a step’s submitted photos together against its instructions and flags work that looks incomplete or incorrect. Managers focus their review on the work that may need attention, confirm or dismiss each finding, and decide what follow-up is needed.
Wipe the counter, clear spills and loose grounds, then photograph the whole counter.
Answered “Done” with 2 photos
Wipe the counter, clear spills and loose grounds, then photograph the whole counter.
Answered “Done” with 1 photo
A liquid spill and loose coffee grounds are still visible on the counter beside the bean containers.
AI review — verify before acting.
Task completion not verified · The photo is too blurred to see the counter surface.
Not treated as a failure. No follow-up is created.
A liquid spill and loose coffee grounds are still visible on the counter beside the bean containers.
AI review — verify before acting.
Look at the photos, then decide. Confirming marks the response failed and pre-fills a corrective action.
AI flag dismissed by you · The response stays as submitted.
No follow-up is created. The decision is final and recorded on the checklist.
Nothing to confirm. An unverified check isn’t a finding.
The manager can ask for a clearer photo or review the step in person.
Response marked failed · corrective action pre-filled
Creating the corrective action is a separate choice. Nothing is assigned until the manager creates it.
No corrective action. Unverified photos never create follow-up work.
Photograph a delivery bill and TenorOps prepares an editable receipt: supplier, items, pack quantities and catalogue matches. Less repetitive entry, and a clearer handoff between receiving and inventory.
Northfield Food Supply
Delivery note · DN-20417
Received by ____________
1 photo · Draft receipt prepared for review
Supplier Northfield Food Supply · 3 proposed lines
Every value stays editable. Lot and expiry appear only when the bill prints them.
Receipt confirmed by Daniel · stock posted
The reviewed match for “Cold Cups with Lids” is remembered for this supplier.
Receipt confirmed by Daniel · stock posted
The reviewed match for “Cold Cups with Lids” is remembered for this supplier.
Receipt confirmed by Daniel · stock posted
The reviewed match for “Cold Cups with Lids” is remembered for this supplier.
Not confirmed yet. One line still needs a catalogue match.
Stock changes only after someone confirms the whole receipt.
Start with the whole business, narrow to a location, and open the work underneath. See what needs attention today, which locations need support, and which patterns deserve follow-up.
1 location needs immediate action · 6 active checks · 4 upcoming
Misses and handoff · 1 missed check to acknowledge · 2 AI photo review findings
Harbour Street · Pre-service gate: line temperature log due in 35 min, not started
Market Square · 4 of 7 checks done · opening missed, handed off
Riverside · All checks on time today
Line temperature log · Pre-service gate · due 11:45 am
Opening checklist · 1 AI finding to review
Mid-shift clean · Due 3:00 pm
Opening checklist · Closed at cutoff · in Misses and handoff
Receiving check · 2 of 4 steps · due 12:30 pm
Opening checklist · No findings
Market Square · Opening checklist · missed 3 of the last 7 occurrences
On time Missed
The opening checklist asks for a photo of the cleared coffee counter, with AI review on for that step.
Sam answers each step on her phone and attaches two photos of the counter.
AI flags a spill in both photos. Daniel checks them and confirms the flag.
Daniel creates the pre-filled corrective action and assigns it to Sam before service.
Sam adds an after photo and a note. Daniel reviews the resolution and closes it.
The coffee delivery arrives at Harbour Street and the bill is photographed.
Daniel checks the lines and confirms the receipt. Only now does stock change.
Harbour Street confirms dispatch of 4 kg to Market Square as the goods leave. Market Square sees it as incoming, not yet in stock.
Market Square counts 3.5 kg on arrival. Its stock reflects what actually arrived, and the shortfall is recorded.
Market Square logs a cold brew batch that uses 1.2 kg of the beans.
The closing checklist’s stock count finds 2.2 kg against 2.3 kg expected. That is inside the item’s alert level, so no alert is sent.
Build checklists with the evidence each step needs, schedule them by person, role or location, and give every team a clear list for its shift.
For example: Each location runs on its own time zone; pre-service checks surface before service; past work keeps the instructions it was done against.
Receive deliveries, see stock by location, move it between locations, and record waste and physical counts.
For example: A transfer that arrives short records what actually arrived; a recall creates disposal tasks for affected stock and holds matching shipments.
Keep recipes in one library, plan daily production for each location, and log what was actually made.
For example: Production logged outside the plan doesn’t count toward an assigned task, so shortfalls stay visible.
Staff report problems, managers review and assign repairs, and preventive plans create work on schedule.
For example: A repair waiting on parts stays visible with its note and expected return.
Raise an issue at a location, assign it, and escalate it to the people above when it needs supervision.
For example: Visibility and escalation follow location access and role levels.
Build courses with media and a short test, then follow who has completed them.
For example: Assign by person, role or location, and review scores and attempts.
Available workflows and AI allowances are confirmed with your plan and rollout.
Use TenorOps in mobile browsers or install it on your phone’s home screen. Open the checklist on the device while connected, then continue working through weak signal. Answers and captured evidence stay saved on the device. Photos upload when connectivity returns, and the checklist can be submitted once they’ve finished uploading.
I’m Akshat Sethi, founder of TenorOps. Restaurant teams already do the work — what’s hard is knowing it was done, across every shift and location, without chasing anyone. TenorOps is built to make that visible, with AI doing the first pass and your team making the calls. If you run restaurants, I’d like to hear how your operation works today.
Request a demoor write to [email protected]
AI Plus and AI Max, priced by number of locations, with no setup fee. Enabled workflows and AI allowances are confirmed before you start.
View pricingPhotos on checklist steps where you’ve turned AI review on, and photographed delivery bills where receiving extraction is available.
No. Managers confirm or dismiss findings, and authorised people confirm receipts. A finding never creates follow-up work on its own.
No. Reading a bill prepares proposals. That delivery updates stock only when the receipt is confirmed.
The review shows “Task completion not verified”. It is not treated as a failure and creates no follow-up.
Open the checklist on the device while connected, then continue working through weak signal. Answers and captured evidence stay saved on the device. Photos upload when connectivity returns, and the checklist can be submitted once they’ve finished uploading.
Staff sign in with a code sent to their phone and see a simple list of the work assigned to them. Each checklist step says what to do and what evidence is needed.
You can create an account and set up your first location and starter checklist yourself, then add schedules, people and locations as you go.
People see the locations and records their role and access settings permit. Owners can oversee the business; location teams work within their permitted scope. Auditors can inspect records within their permitted locations.
It depends on your plan and rollout; we confirm which workflows are enabled before you start.
Access follows each person’s role and locations, and data is backed up daily. AI-assisted features process the evidence needed for the requested review or extraction. See our Privacy Policy for processing and provider details.
See how TenorOps fits the standards, handoffs, and decisions your teams manage every day.
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