Your standards, enforced in every store.
Your best GM can only be in one store. Tenor puts an AI supervisor in every location — one that knows your SOPs, watches every shift, and intervenes the moment standards slip. Coaching, alerts, escalations — whatever the situation calls for.
Standards don't fail. They drift.
No location falls apart overnight. The opening checklist gets skipped once, then twice. Service slows. Cleaning slides. Without someone watching every shift, your stores quietly become different businesses — and you find out from a customer complaint.
Nobody's watching most shifts
Your GMs and RMs can only be in one place. That leaves 90%+ of shifts unobserved. Standards are only enforced when someone happens to be on-site.
Store data is siloed and stale
Cameras, POS, time clocks, IoT sensors — each system tells you something, but nobody's connecting them. By the time reports land, the shift is over.
Standards erode without enforcement
SOPs live in binders. Training happens once. Without continuous oversight and intervention, your worst store quietly becomes unrecognizable.
Scaling means losing control
Every new location dilutes your supervisory capacity. You can hire more managers, but you can't clone your best one. Growth and consistency pull in opposite directions.
An AI supervisor in every store. On every shift.
What if your sharpest GM could observe every location at once? Tenor learns what great execution looks like from your best stores, then holds every location to that standard — intervening in real time when things slip. Sometimes that's a coaching nudge. Sometimes it's an alert. Sometimes it's an escalation. The right response, every time.
One person. One store. A few hours.
- GMs and RMs supervise when they happen to be on-site
- Standards enforced based on occasional snapshots
- Full comp + travel for every region covered
- Problems surface days or weeks after they start
- Crew behavior changes when the boss is watching — Hawthorne effect
- Every new location means hire another manager
Every store. Every shift. Always on.
- Observes every shift — not visits, not samples, every single one
- Intervenes in real time — coaching, alerts, or escalation depending on severity
- One predictable monthly fee — no headcount scaling
- Learns what "great" looks like from your best locations, enforces it everywhere
- Consistent, unbiased standards — same bar everywhere, every shift
- Add a location — standards enforced from Day 1 using fleet-wide baselines
Instrument. Learn. Enforce.
Instrument
Tenor connects to your existing cameras, POS, time clocks, and IoT sensors — building a unified data layer per location. No hardware swap, no new wiring.
~1 week per fleetLearn
RL agents observe operations, learn your SOPs from your best-performing locations, and build per-store behavioral baselines. The model improves with every shift.
continuous improvementEnforce
Real-time interventions when standards slip — coaching nudges for small things, alerts for bigger issues, escalations when it matters. Shift recaps and weekly reports keep leadership in the loop.
Slack · email · SMS · APIFrom observation to intervention.
Configurable per location. The AI supervisor learns what matters for each store and enforces accordingly.
Service standards
Greet time, station coverage, queue response — the supervisor enforces your service standards and intervenes when execution slips. Coaching for repeat issues.
SOP compliance
Opening, closing, cleaning, prep, uniform — verified against actual observations, not self-reported checklists. Immediate flags when steps are missed.
Loss prevention
Cash handling violations, void/refund anomalies, sweetheart transactions, after-hours access. Flagged with timestamp, clip, and confidence score.
Speed of service
Drive-thru times, counter wait times, prep-to-serve speed. Track against targets and surface bottlenecks to shift leads in real time.
Labor optimization
Correlate traffic patterns with staffing levels. Surface when locations are overstaffed, understaffed, or misallocating labor during peak.
Safety & compliance
PPE, handwashing, spill response, blocked egress. Immediate alerts for safety violations — before they become incidents. Coaching for repeated lapses.
Cameras are one sensor. Your store has many.
Most platforms start and stop at video. Tenor instruments the entire store — cameras, POS, time clocks, door sensors, temperature probes, occupancy counters — and fuses every signal into one operational picture. That's how it catches things no single system could see alone.
Store Operating System
Catch what neither system sees alone
A void with no customer on camera isn't a discrepancy — it's confirmed shrinkage. The AI supervisor flags it immediately, queues the clip, and escalates if it's a pattern.
Verify who's actually on the floor
Clock-in recorded but nobody on the floor? Tenor flags the gap and alerts the manager. Patterns get escalated — individuals get coached.
Diagnose revenue drops in real time
Sales dipped at 3PM? The supervisor shows why: empty station, queue abandonment, or early closure. The shift lead gets a fix-it prompt before the hour is over.
Your standards. Every store. Every shift.
No location fails overnight. The opening checklist gets skipped once, then twice. Service slows down. Cleaning slides. Without continuous oversight, your worst store quietly drifts — and you discover it from a customer complaint or a health inspection.
Tenor turns every SOP into a supervised standard. It observes execution, scores each location daily, and intervenes the moment things slip — with the right response for the situation. Small things get a coaching nudge. Patterns get flagged. Serious issues get escalated immediately.
- Observation-verified standards. Opening, closing, cleaning, prep, uniform — verified against what actually happened, not what someone reported.
- Location health scores. Track which stores are holding the line, which are slipping, and where to focus your attention.
- Fleet benchmarking. Rank locations, identify top performers, and replicate what works across the fleet.
Instruments your stores without replacing anything.
- Cameras & VMS. Axis, Hikvision, Dahua, Verkada, Meraki, Milestone — any ONVIF/RTSP camera or VMS. We add intelligence, not hardware.
- POS systems. Oracle MICROS, Toast, Square, Lightspeed, NCR Aloha — transaction data fused with every other signal.
- Time clocks & WFM. ADP, UKG, Deputy, 7shifts — correlate scheduled labor with observed reality in real time.
- IoT & sensors. Door contacts, temperature probes, occupancy counters, energy meters. Every data point sharpens supervision.
32-ch VMS · NYC region CONNECTED
Transaction feed · all locations CONNECTED
Schedule sync · fleet-wide CONNECTED
Temp + door + occupancy · 48 stores CONNECTED
Common questions
Video analytics flag events. Tenor supervises operations. It doesn't just alert when something goes wrong — it enforces your standards across every store, every shift. Small issues get a coaching nudge. Patterns get flagged. Serious violations get escalated. And because it fuses cameras, POS, time clocks, and sensors together, it catches things no single system could.
No. Tenor connects to the cameras, POS, time clocks, and sensors you already have. We add the intelligence layer — your physical infrastructure stays untouched. If you want to add IoT sensors for temperature, occupancy, or door monitoring, we'll help — but it's optional.
It depends on severity. A counter left unmanned for a few minutes? The shift lead gets a nudge. Opening checklist skipped three days in a row? The manager gets a coaching alert with the pattern data. Cash handling violation? Immediate flag with clip and escalation. Tenor matches the response to the situation — it's not one-size-fits-all.
During onboarding, we configure your SOPs — checklists, service standards, safety protocols — and the RL agent begins observing. It builds behavioral baselines from your best-performing locations, then uses those as the standard. The model improves continuously: as your best stores get better, the bar rises for everyone.
Tenor is SOC 2 Type II certified. You choose where data lives: our cloud, your cloud (AWS/GCP/Azure), or fully on-premise. You control retention, access, and geographic residency. We never access your data without explicit authorization.
Most fleets are instrumented within 1–2 weeks. We connect to your existing infrastructure remotely, configure your SOPs and intervention rules per location, and tune thresholds so the system focuses on what matters. The RL model starts with a pre-trained baseline and fine-tunes to each location within the first few weeks.
No. Tenor serves operators from 5 locations to 500+. The platform is the same — whether you're a regional QSR group or a national retail chain.
See Tenor supervise your stores.
Schedule a 30-minute pilot review. Share one location's setup and we'll show you what the AI supervisor would have caught this week — and how it would have handled it.
Request a pilot
Tell us about your fleet and we'll show you how Tenor supervises your stores.