Brand & Ops Leaders
See impact by brand, region, and channel.
Run your AI menu like your menu: consistent, safe, profitable
Overlook gives food‑service leaders live visibility, guardrails, and team workflows across voice ordering, robotics, CV waste/checkout, personalization, gen‑AI ops, supply chain, and biometrics.
Control Room
Voice accuracy
96.2%
Waste delta
‑12%
Robotics uptime
98.5%
Incidents
2 open
Who it’s for
Store & Franchise Ops
Fix what’s blocking accuracy, throughput, or guest experience.
Data/AI & Engineering
Govern models and vendors with one change‑control flow.
Legal/Privacy & Risk
Enforce policy once; vendors inherit your guardrails.
Why now: the problem
AI is everywhere in food service—drive‑thrus, makelines, cameras, apps, and supply chains—yet outcomes are fragmented. Leaders lack one place to see what’s live, prove value, and keep it safe as it scales.
Visibility. Controls. Collaboration.
Visibility
System of record for every AI, AI Impact Score, and dashboards that tie business KPIs to behavior.
Controls
Policy guardrails and approval gates that prevent risky changes—plus instant rollback.
Collaboration
Role‑based workflows, behavior scenarios, and reusable playbooks so wins scale.
What you can see (Impact Intelligence)
Voice ordering
Order accuracy, AHT, upsell rate, transfer‑to‑human, accent/noise robustness.
CV waste
Waste lbs/$ vs baseline, tag precision/recall, camera uptime.
Robotics
Unit uptime, throughput/hour, interventions, safety incidents, quality deltas.
Personalization
Uplift vs control, margin protection, offer relevance, fatigue.
Gen‑AI ops
Task success, guardrail blocks, citation coverage, SOP deflection.
Supply chain
Forecast error (MAPE), stockouts avoided, substitution success, OTD.
Biometrics/checkout
False accept/reject, queue time delta, opt‑in rate.
Proof panel: every metric is traceable to model versions, vendor releases, approvals, and scenario tests.
What you can control (Guardrails & approvals)
Voice: accuracy thresholds Voice: fairness (accents) Voice: profanity filters CV: min confidence Robotics: safety interlocks Personalization: price floors Gen‑AI: retrieval‑only, citations Supply: substitution limits
Requirements
Define targets, thresholds, and scenarios.
Test
Scenario runs and red‑team checks.
Rollout
Canary to ramp with kill‑switch.
Post‑launch
Validation and incident review.
How teams work together (Guided Experience)
Operating AI Record
AI job, target impact, thresholds, path‑to‑impact, operating areas, owners.
Ideal Behavior Scenarios
Concise, testable vignettes that double as acceptance tests and prompts.
Evolving Direction
Prioritized improvements—what to refine next and why.
Tailored Assets
Prompts, test suites, signage, incident forms, and rollout playbooks.
Category Playbooks
Target KPIs
- Accuracy, AHT, uplift, MAPE
Guardrails
- Policy + thresholds
Approval checks
- What must pass before rollout
Signals
- POS, ASR logs, CV events, telemetry, ERP/WMS/TMS, app analytics
Integrations
Overlook connects to POS, IVR/ASR, CV event streams, robot telemetry, ERP/WMS/TMS, and app analytics—pulling only the signals needed to evaluate impact and risk. Vendor AIs appear alongside internal models with versions, SLAs, and test artifacts.
Logo wall
Security & privacy
- Data minimization and redacted logs.
- Roles, SSO, and audit trails.
- DPIA/PIA evidence vault and retention windows.
90‑day rollout
1
Weeks 1–2
- Inventory & baseline
- Define target impacts and thresholds
- Wire telemetry; draft scenarios
2
Weeks 3–6
- Guardrails on; red‑team tests
- Pilot with kill‑switch
- Prove impact in 1–2 regions
3
Weeks 7–12
- Scale with coaching; weekly Impact Council
- Publish Evolving Directions
- Template assets for reuse
ROI lens
Waste reduction
CV waste detection ties to lbs/$ saved.
Throughput lift
Voice ordering + robotics reduce bottlenecks.
Risk mitigation
Guardrails and audits lower compliance risk.
FAQs
Does this work with vendor AIs?
Yes. Vendors inherit your guardrails and appear in the same controls and dashboards.
What if a vendor won’t expose internals?
Overlook wraps black boxes with scenario tests and outcome probes.
How fast to see value?
Most teams baseline and ship guardrails to pilot in 30–45 days, then scale.
Ready to standardize AI across your restaurants?
One place to see, control, and improve every AI across brands and regions.