An AI co-pilot for your entire business.
Lala reads your live operations across schedules, time clock, tasks, requests, payroll, POS and reviews. He negotiates with vendors, flags maintenance before it breaks, tunes prices to demand, and writes the morning briefing your GM reads before their first coffee.
Six superpowers, running 24/7.
Most AI tools answer questions. Lala takes actions, with citations, every time. Here is the work he handles between when your GM goes to bed and when payroll runs.
AI Morning Briefing
Drafts a strategic briefing every morning — top priorities, staffing risk, equipment health and brand compliance — so your GM walks in knowing what to action first.
Maintenance & ticket triage
Reads incoming maintenance tickets and guest complaints, classifies severity, routes to the on-shift role and runs an SLA timer until resolution.
Brand penalty detection
Watches franchise scorecards (Choice, Hilton, IHG) and flags silent drags before they hit your statement — like a $1,350 recurring penalty no one noticed for three months.
Plain-English ops Q&A
Ask Lala anything about your operations — “why is RevPAR down this week?” — and get a grounded, cited answer drawn from your live data.
Exception-based alerts
Instead of drowning you in dashboards, Lala only surfaces what actually needs human attention.
Shift handover intelligence
Reads end-of-shift notes, flags carryover, drafts the next shift's brief automatically.
Ask plain English.
Get grounded answers.
Lala isn't a chatbot bolted onto a dashboard. It reads your live operations · schedules, time clock, tasks, requests, payroll, POS, reviews · and answers like a manager who's been on the floor all day. Every claim cites the shift, store, or ticket it came from.
Speaks English and Spanish. Trained on hospitality, restaurant, retail and trades operations. If it doesn't know, it says so.
Downtown needs 2 FOH (currently 6 / target 8), Midtown needs 1 host (0/1), Airport needs 1 server (3/4). I've drafted shift offers to 11 eligible staff ranked by proximity, certs and OT exposure · your approval triggers the send.
Three loops, always running.
Behind every Lala response is a continuous monitor-analyze-act cycle, grounded in your actual operations data.
Monitor
Continuously reads every shift, ticket, review, sensor, transaction and message across your locations.
Analyze
Compares against staffing models, your SLAs, brand standards, and historical patterns to find what is off.
Act or escalate
Drafts the next action with citations. Auto-resolves when allowed. Pings the right human when not.
Tuesday, with Lala on shift.
One Tuesday at a 7-property hospitality group. The work Lala does between when the GM goes to bed and when payroll runs.
- 6:02AM
Lala sends the morning briefing to ops leadership.
Overnight call-outs reconciled. Coverage status, today's revenue plan, two flagged exceptions · delivered before the GM's first coffee.
Riverside & Downtown filled overnight. Midtown still short 1 housekeeper, 9–3. Approving Maria's 4-hour pickup brings us to 100%. - 7:48AM
Two call-outs come in. Coverage filled before 8.
Lala identifies gaps, ranks eligible staff by proximity, certs, OT exposure and prior pickups, sends targeted offers. First yes locks the shift.
- 11:14AM
Maintenance pattern detected · flagged before it breaks.
Riverside ice machine has pulled three maintenance pings in 14 days. Lala opens a vendor work order with the full ticket history attached.
Pattern across Riverside ice machine: 3 tickets in 14 days, last two within 48 hrs. Opening vendor WO #4127 with full history. Recommend replace within 30 days. - 3:30PM
Plain-English query from the COO. Grounded answer in 4 seconds.
No dashboards, no filters, no exports.
COO: Which locations are understaffed for 5–7 PM peak tomorrow?
Lala: 3 of 7. Downtown short 2 FOH, Midtown short 1 host, Airport short 1 server. Drafted shift offers for review. - 9:18PM
Closing checks. Tomorrow's plan drafted.
SOPs verified across all properties, exceptions logged, evening recap and a draft of tomorrow's coverage land in the GM's inbox at 9:18 PM. Lala stays on through close.
One model, fluent in every industry.
Hotels
RevPAR, housekeeping, night audit, guest QR routing.
Restaurants
Dinner-peak coverage, tip-pool math, food-safety logs.
Gas Stations
Cash drops, age compliance, vendor deliveries.
Salons & Spas
Commissions, room turns, client rebooking.
Clinics
HIPAA-ready, sterilization SOPs, patient QR.
Retail & more
Peak-hour staffing, loss prevention, brand standards.
Real numbers from real customers.
Continuous monitoring, every location
Reduction in equipment downtime
Improvement in revenue per shift
Tools consolidated in first 30 days
Lala is safe by design.
SOC 2 Type II
Annual audit · report under NDA
English & Spanish
Bilingual everywhere — schedule, SOPs, reviews
Private
Your data never trains a public model
Cited & grounded
Refuses to guess. Asks instead.
See your ROI in seconds.
Based on replacing ~6 tools, reclaiming 60% of ops admin hours, on FoxtINN Pro at $5 / user / month.
Stop assembling Sunday spreadsheets.
Let Lala send the briefing.
Book a 30-minute walkthrough with our team. We'll model your locations, your shifts, and what Lala would have done last week.