AI for Hospitality
Get your managers back on the floor.
A callout, a broken ice machine and a guest complaint can take over a shift. Give your team a connected view of the business and practical help with the work behind great service.
AI for Hospitality
A callout, a broken ice machine and a guest complaint can take over a shift. Give your team a connected view of the business and practical help with the work behind great service.
These are starting points for a conversation. We scope the workflow around your people, your tools, and the permissions you approve.
AI for Hospitality
Our hospitality platform is built and operating. The library describes its individual capabilities, not separate client projects.
138 capabilities and opportunities across 20 areas of the business.
138 are documented built capabilities. The remaining entries are opportunities to explore. Each entry describes a function, not a separate customer or build.
Keep each business’s records separated and restrict access to authorized users.
Operators watch, or draft real actions for approval.
One account runs 1 to 30 venues.
Jump between venues from any screen.
Your logo and your three brand colors, throughout.
Display and body fonts set per customer.
Full theme support across the app.
Open the business workspace from your device’s home screen.
All timestamps localized to each venue.
Work with dedicated assistants covering operations, finance, people, marketing and other business functions.
Direct conversation with a single persona.
Talk to the whole team at once as the owner.
Cross-venue questions answered at the org level.
Route detected issues to the assistant responsible for that business function.
Set whether each assistant is disabled, watches activity, prepares proposals or carries out permitted actions.
Personas retain prior conversations and context.
Personas read and act on real data during chat.
Owners feed corrections that reshape how an operator responds.
Text-to-speech replies from any operator.
Flags abnormal product movement (CCO).
Flags labor cost running hot against sales (HR).
Flags unusual voids and comps (COO).
Flags problem themes in new reviews (CMO).
Flags reservation no-show spikes (COO).
Flags falling third-party delivery ratings (CTO).
Flags soft demand and open tables (CMO).
Flags tip patterns worth a look (CFO).
Give more urgent issues a higher priority in the task list.
Turn detected issues into assigned follow-up tasks.
The same flag will not nag repeatedly.
Detectors skip dark days instead of reading them as zeros.
The single operating screen per venue.
Net sales, covers, average check, labor %, tip %, ratings, no-show %, utilization, RevPASH.
A designed empty deck that reads as ready, not broken.
Compare today against the last recorded day.
A running feed of detections, tasks, and events.
Quick access to all nine operators from the deck.
Pull the latest on demand or on a schedule.
A composite venue-health score.
Compares a day to comparable past days.
Past actuals and the week ahead folded into context.
Owner-curated links pinned to the deck.
An AI brief before service.
An end-of-day wrap.
Briefings written from the day's real data.
Each venue gets its own private address; email reports land automatically.
Drop a report file straight onto the deck.
Reads sales summary exports.
Reads review exports.
Generic, OpenTable, and Resy reservation exports.
Reads third-party delivery exports.
Reads inventory count exports.
Reads labor and time-entry exports.
Check sender authenticity and approved access before accepting emailed reports.
Send each supported report to the appropriate processing workflow.
Vendor invoices read into structured numbers.
Extracted numbers checked against the original before they count.
Document extraction bounded by the customer's own allotment.
Connect authorized Toast sales, void, comp and labor information for each venue.
Encrypt and separate the credentials used for each venue’s connected systems.
Every connection pulls on a daily schedule.
Force a pull from the connection card.
Status, last sync, and last result per connection.
Read authorized Square sales and labor information.
Connect authorized Focus POS sales and labor information.
Connect authorized SevenRooms reservation and no-show information for each venue.
Bring OpenTable reservation reports into the venue’s operating view.
Bring Resy reservation reports into the venue’s operating view.
Connect authorized MarginEdge invoice and product information for each venue.
Connect authorized MarketMan inventory and waste information.
Read authorized Gusto payroll and labor information.
Connect authorized ADP payroll information.
Connect authorized Paychex payroll information.
Compare scheduled and actual labor using authorized 7shifts information.
Push and pull tasks against an Asana project.
Operators draft real actions for a human to approve (Autonomy edition).
Owner approves before anything executes.
Carry out approved proposals and keep a record of what changed.
Route any approved action as a tracked work order.
Keep payroll and vendor payments outside automatic execution, with human authorization required.
Read-Only customers are capped at Monitor.
Publish a schedule change on approval.
Push a menu change on approval.
File a task on approval.
The station-level operating board.
Daily checklists per station.
Structured counts against par.
Consolidated ordering view.
Counted vs expected variance.
Cooks see the line, nothing else.
Structured employee corrective actions.
Scan and attach the signed form.
Corrective actions escalate by policy.
Track candidates through stages.
Checklists to bring a new hire online.
Capture signed onboarding paperwork.
HR-owned tasks surfaced to the owner.
Google and Yelp reviews pulled in.
Reply drafts in the venue's voice, ready to post.
Owner-set review destinations.
Track repair and maintenance items.
A dedicated maintenance-staff surface.
Maintenance staff see upkeep, nothing else.
Multiple operators deliberate a question together.
Structured multi-operator reasoning.
Turn a convened decision into action.
Every convened session is kept.
A house knowledge base the operators read from.
Owner-editable knowledge screen.
Persistent corrections that steer an operator.
Owner-level knowledge and preferences.
Manage who has access from a screen.
Owner, admin, operator, viewer, line, maintenance.
Staff see only their venues.
Admins cannot touch the owner record.
Invite and claim flow for new members.
Turn individual personas on or off per org.
Adjust playback speed.
Operators speak their answers.
Talk to an operator; transcription with fallback.
Correct pronunciation of names and terms.
Keep a reviewable record of changes made in the system.
Apply browser protections that help restrict unwanted activity.
Limit repeated requests to sensitive functions to help reduce abuse.
Remove sensitive credentials from system activity records.
Check that new data areas have access protections before software changes are released.
A shareable security summary page.
Terms, Privacy, and DPA pages.
Use verification checks to help identify changes to recorded activity history.
Test whether saved backups can restore the business’s records.
Create scheduled copies of operating data for recovery.
Customers sign in from a link, no password.
Download an account's data.
Self-serve account and data removal.
Owners are paged on critical flags.
Guided setup for a new customer.
First-run orientation.
A researched visibility audit delivered at onboarding.
Scope, suitability, data access and the need for human approval are assessed with you. A capability may be reused across systems.
A practical guide
A useful operating briefing brings the loose ends together: what changed, what needs attention, and who owns the next step. That is a practical place for hospitality AI to earn its keep.
Read the guideThat depends on what your current tools can share and how reliable the information is. A diagnostic should establish those facts before recommending changes. The goal is a workable operating picture, with as little duplicate work as possible.
Yes, private deployment options can keep selected AI processing within an environment managed by ProcessRoot. Access, connected tools, stored records, and support arrangements also need to match the privacy requirements. The model’s location is one part of the design.
Choose the work to improve and the data you are comfortable using. We help you decide what runs privately, what can use a hosted model, and where a person stays in charge.
Start with your business.
More room to serve your customers. To grow your team.
To work on the business you set out to build.