AI Readiness Quick Assessment

{"Title":"AI Readiness Quick Assessment","IntroductionHtml":"

This short interactive audit helps you prioritize AI pilots that deliver practical value for restaurants, cafés, catering operations, and hospitality teams. Answer the questions below about your data, systems, decision pain points, and governance. At the end you’ll get guidance on likely first pilots and a simple checklist to prepare data and stakeholders.

Scoring guide: Many questions use a numeric scale. Add the numeric answers to produce a raw score. Typical interpretation: <20 = early stage (needs foundational data work), 20–35 = candidate for focused pilots with clear scope, >35 = ready for higher-value pilots and cross-functional pilots. See the "Scoring & Interpretation" field for details.

","SubmitLabel":"Save assessment","SuccessMessage":"Assessment saved. Suggested first pilots and a preparation checklist are shown below. Consider running a short discovery pilot to validate assumptions before committing major spend.","DataType":"AIReadinessAudit","SchemaVersion":1,"Fields":[{"Key":"location_name","FieldType":"text","Label":"Location / Unit / Business Name","HelpText":"Name of the restaurant, unit, or business this assessment covers.","Required":false},{"Key":"assessor_name","FieldType":"text","Label":"Assessor name","HelpText":"Person completing this assessment.","Required":false},{"Key":"assessment_date","FieldType":"text","Label":"Date","HelpText":"Date of this assessment (YYYY-MM-DD).","Required":false},{"Key":"assessor_role","FieldType":"select","Label":"Role","HelpText":"Role of the assessor.","Required":false,"Options":[{"Value":"owner","Label":"Owner / Operator"},{"Value":"gm","Label":"General Manager"},{"Value":"chef","Label":"Chef / Kitchen Manager"},{"Value":"ops","Label":"Operations / Franchise Support"},{"Value":"it","Label":"IT / Data"},{"Value":"analyst","Label":"Analyst / Data Scientist"},{"Value":"other","Label":"Other"}]},{"Key":"data_pos_sales","FieldType":"scale","Label":"POS sales history availability","HelpText":"How complete and accessible is historical sales data from POS? (0 = none, 3 = reliable, exportable, and timestamped by item)","Required":true,"Min":0,"Max":3},{"Key":"data_inventory_history","FieldType":"scale","Label":"Inventory & receiving history","HelpText":"Do you have digital records of stock levels, receiving, and adjustments? (0 = none, 3 = consistent digital records with timestamps)","Required":true,"Min":0,"Max":3},{"Key":"data_recipe_costs","FieldType":"scale","Label":"Recipe & cost bookkeeping","HelpText":"Are recipes and ingredient cost data maintained and accessible? (0 = no, 3 = consistently maintained with unit measures)","Required":true,"Min":0,"Max":3},{"Key":"data_labor_timecards","FieldType":"scale","Label":"Labor & schedule records","HelpText":"Are timecards, schedules, and role definitions digitized and reliable? (0 = none, 3 = integrated timecards and schedules)","Required":true,"Min":0,"Max":3},{"Key":"data_waste_logs","FieldType":"scale","Label":"Waste / spoilage records","HelpText":"Do you record waste events, categories, or spoilage in a way that can be analyzed? (0 = no, 3 = detailed, categorized, and dated logs)","Required":true,"Min":0,"Max":3},{"Key":"data_quality_sensors","FieldType":"scale","Label":"Food-safety / equipment logs (temps, sensors)","HelpText":"Are temperature logs, HACCP records, or equipment sensor logs available digitally? (0 = none, 3 = continuous digital logs)","Required":true,"Min":0,"Max":3},{"Key":"data_guest_feedback","FieldType":"scale","Label":"Guest feedback & reviews digital history","HelpText":"Do you have structured guest feedback, online review history, or survey responses accessible? (0 = none, 3 = systematic and linked to orders/locations)","Required":true,"Min":0,"Max":3},{"Key":"integration_systems","FieldType":"scale","Label":"Systems integration maturity","HelpText":"How well do your systems (POS, inventory, scheduling, payroll) share data or export usable files? (0 = isolated spreadsheets, 3 = APIs or connected systems)","Required":true,"Min":0,"Max":3},{"Key":"decision_forecasting_pain","FieldType":"scale","Label":"Decision pain: Forecasting demand","HelpText":"How painful or damaging are forecasting errors (0 = not relevant, 4 = frequent & costly stockouts/overproduction)?","Required":true,"Min":0,"Max":4},{"Key":"decision_scheduling_pain","FieldType":"scale","Label":"Decision pain: Scheduling staff","HelpText":"How often does poor scheduling cause service problems or high labor costs? (0–4)","Required":true,"Min":0,"Max":4},{"Key":"decision_ordering_pain","FieldType":"scale","Label":"Decision pain: Ordering & purchasing","HelpText":"How often do ordering errors cause waste or missed sales? (0–4)","Required":true,"Min":0,"Max":4},{"Key":"decision_waste_detection_pain","FieldType":"scale","Label":"Decision pain: Detecting & preventing waste","HelpText":"How serious are waste issues today? (0 = little/no waste, 4 = frequent, measurable loss)","Required":true,"Min":0,"Max":4},{"Key":"decision_quality_pain","FieldType":"scale","Label":"Decision pain: Food quality & consistency","HelpText":"How often do quality inconsistencies affect guest satisfaction or returns? (0–4)","Required":true,"Min":0,"Max":4},{"Key":"governance_has_owner","FieldType":"yesno","Label":"Is there a named data/AI owner for pilots?","HelpText":"Someone responsible for the pilot and data access?","Required":true},{"Key":"governance_privacy_compliant","FieldType":"yesno","Label":"Is there a privacy / data-handling review process?","HelpText":"Has a privacy or legal review been considered for customer or employee data?","Required":true},{"Key":"governance_executive_sponsor","FieldType":"yesno","Label":"Is there an executive sponsor for AI initiatives?","HelpText":"A sponsor helps unblock resources and accept outcomes.","Required":true},{"Key":"governance_change_plan","FieldType":"yesno","Label":"Is there a plan for how the pilot's outcomes will be adopted or acted on?","HelpText":"Even small pilots should have a clear adoption pathway.","Required":true},{"Key":"scoring_instructions","FieldType":"textarea","Label":"Scoring & Interpretation","HelpText":"Add the numeric answers above to produce a raw readiness score. Example interpretation: <20 = foundational work (focus on data hygiene, integrations, and a discovery pilot); 20–35 = target focused pilots that solve specific pain points (short-term modeling, scheduling pilot, basic forecasting); >35 = candidate for multi-location pilots, automation, and combined AI solutions. Use decision-pain scores to prioritize which decision to address first.","Required":false},{"Key":"recommended_pilots","FieldType":"checkbox","Label":"Suggested first pilots (check ones that look appropriate)","HelpText":"Common low-to-medium risk pilots and the minimal readiness they typically need.","Required":false,"Options":[{"Value":"forecasting","Label":"Demand forecasting (daily/weekly sales by item) — needs good POS history and at least 8 weeks of exports"},{"Value":"smart_scheduling","Label":"Smart scheduling (match staff to forecast) — needs POS + historical labor schedules & roles"},{"Value":"inventory_ordering","Label":"Inventory & ordering optimization — needs inventory history, lead times, and receiving logs"},{"Value":"waste_detection","Label":"Waste detection & reduction (logs or vision-assisted) — needs waste logs or kitchen camera/sensor data"},{"Value":"menu_pricing","Label":"Menu engineering / price sensitivity analysis — needs sales by item, recipe costs"},{"Value":"quality_anomalies","Label":"Quality anomaly detection (temps, prep deviations) — needs sensor or QC logs"}]},{"Key":"pilot_readiness_checklist","FieldType":"checkbox","Label":"Pilot preparation checklist","HelpText":"Items to complete before starting a short pilot.","Required":false,"Options":[{"Value":"owner_assigned","Label":"Named pilot owner and stakeholders"},{"Value":"data_export_ready","Label":"Sample data export (8–12 weeks) available as CSV or API"},{"Value":"privacy_review","Label":"Privacy / legal considerations reviewed"},{"Value":"baseline_metric","Label":"Baseline performance metric(s) defined (e.g., forecast MAPE, waste kg/week)"},{"Value":"success_criteria","Label":"Clear success criteria and timebox (e.g., 8 weeks)"},{"Value":"scope_defined","Label":"Pilot scope (locations, menu subset, shifts) defined"},{"Value":"it_access","Label":"IT access or API keys arranged"},{"Value":"stakeholder_checkins","Label":"Regular stakeholder review cadence scheduled"}]},{"Key":"top_pilot_choice","FieldType":"radio","Label":"Which pilot should be attempted first?","HelpText":"Pick the single pilot you will try first.","Required":false,"Options":[{"Value":"forecasting","Label":"Demand forecasting"},{"Value":"smart_scheduling","Label":"Smart scheduling"},{"Value":"inventory_ordering","Label":"Inventory & ordering optimization"},{"Value":"waste_detection","Label":"Waste detection & reduction"},{"Value":"menu_pricing","Label":"Menu engineering"},{"Value":"quality_anomalies","Label":"Quality anomaly detection"}]},{"Key":"top_pilot_reason","FieldType":"textarea","Label":"Why this pilot? (brief)","HelpText":"Explain why this pilot is highest priority and what immediate business outcome you expect.","Required":false},{"Key":"next_steps_notes","FieldType":"textarea","Label":"Suggested next steps","HelpText":"Use this field to record immediate next steps (who will request data, who will be the owner, target start date).","Required":false},{"Key":"overall_notes","FieldType":"textarea","Label":"General notes & constraints","HelpText":"Anything else the assessment should capture (budget constraints, vendor options, technical blockers).","Required":false}],"HelpHtml":"

Recommended minimal pilots for hospitality operations: forecasting (improves purchasing & reduces stockouts), smart scheduling (reduces labor waste while keeping service), and waste detection (directly reduces food cost). Use the readiness scores plus decision pain to pick a pilot with clear ROI and low integration complexity.

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