More than a consultancy. We design, build, and run AI systems for hospitality operators — capturing event revenue, controlling inventory and prep, and recovering guest demand when staff can't respond. Intelligence that works from day one.
Simulated benchmark
Captures event and group inquiries across phone, web, email, and social, qualifies them against your rules, and recommends a package — with a human gate on high-value events.
Deterministic inventory, variance, and prep intelligence. Flags stockout risks and anomalies, then briefs the manager before any order goes out.
Answers missed calls and messages in seconds, checks real availability, and books or escalates — never inventing a reservation time.
Simulated benchmark
Figures are simulated demonstration outcomes on one venue. For our real, in-production work, see Case studies ›
Every event and group inquiry — phone, web, email, Instagram, SMS — captured, qualified against your rules, and answered in minutes.
See the demo ›Deterministic usage and variance calculations, with AI flagging the anomalies and briefing the manager before any order goes out.
Guests who reach out during peak service get an instant reply, real availability, and a booking or a clean handoff to staff.
Money, thresholds, dates, and availability are computed by deterministic code — AI never invents a number or a booking.
Buyouts, large events, purchases, and anything high-value wait for human sign-off before they happen.
Our approach goes beyond dashboards. We design solutions that address every aspect of how intelligence meets your business — from planning and engineering to deployment and the quiet, continuous improvement that keeps systems sharp over time.
Services & skills
Six practice areas, built for hospitality operators. Every engagement is measured against production metrics in your venue — not slideware, not decks, not chatbot screenshots.
Capture and convert more event and group business. We build the agent that answers every inquiry, qualifies it against your rules, and hands your team a clean, tracked pipeline.
Deterministic inventory, variance, and prep — with AI that explains it. Know what to order and prep before service, and catch the anomalies quietly costing you margin.
Stop losing bookings during the rush. An always-on system answers missed calls and messages in seconds, checks real availability, and books or escalates — never inventing a time.
On-brand hospitality media on demand. Menus, flyers, social ads, and event graphics generated from a brief — a creative add-on for the venues we build systems for.
Honest diagnosis first. A free 45-minute session to map where AI actually helps your venue — and where it doesn't. Half our engagements start as a no.
We run what we build. Monitoring, evaluation, and continuous tuning across your systems — hosted, measured, and improved so your team can focus on guests.
How we work
Free 45-minute session. We map the work, the data, and the outcome you actually care about. If AI is wrong for the job, we say so.
A written system spec: stack, workflow, success metrics, and a realistic schedule. You sign off before a line of code is written.
Two-week sprints with visible progress. You see the system working at the end of every sprint — not at the end of the engagement.
Production deployment with monitoring, eval harnesses, and a documented runbook. Your team can take it from here, or we can keep running it.
Optional managed operations. We watch the metrics, tune the system, and deliver a monthly intelligence brief.
Tools of the trade
Free 45-minute diagnostic. We'll tell you whether AI is the right tool before you spend a dollar.
Case studies
Four recent engagements across legal, wellness, hospitality, and infrastructure. Each one is a live system — not a demo, not a deck.
Retrieval quality benchmarking system
Caught a 34% hallucination rate before launch and shipped at 91% verified faithfulness — measured, not estimated.
Read the deep dive ›Client intake & reactivation system
Round-the-clock intake with a 47-second median response — captured 94% of after-hours inquiries and booked them automatically.
Read the deep dive ›Venue intelligence & owner brief system
Replaced 3 hours of weekly dashboard review with a 5-point SMS brief — and flagged the events quietly losing money.
Read the deep dive ›AI-assisted infrastructure inspection
Cut review from a full day to 1.4 hours per structure, with 100% critical-defect detection in testing.
Read the deep dive ›Retrieval quality benchmarking system
Client
Legal Services Firm
A mid-size personal injury firm handling heavy case-intake and research volume. They'd bought an AI assistant from a prior vendor to answer questions against their own case files and legal knowledge base, and were weeks from putting it in front of clients and staff.
The problem
In pre-launch review, the assistant was inventing case details — names, dates, and outcomes that appeared nowhere in the source documents — at a 34% rate. In a legal setting, a single confident hallucination can misdirect a client or contaminate case strategy. Worse, the firm had no way to measure how often it was wrong or why, so they could neither trust it nor fix it. We were brought in to prove the real failure rate, find the root cause, and get it to a defensible standard before go-live.
Stack
How it works
Results
The outcome
Answer faithfulness climbed from 34% to 91%, retrieval precision reached 88%, and the hallucination rate fell to 4.2% — with every answer now traceable to a cited source. The firm went live with a system it could actually defend, and kept the eval harness so quality stays measured, not assumed.
"We were about to go live with a system making up case details. DigitalStone AI caught it before it cost us a client relationship."
— Managing Partner, Legal Services Firm
Workflow
A closed-loop evaluation pipeline that measures retrieval quality end to end, then gates every answer on grounded, cited evidence before it ever reaches a user.
Client intake & reactivation system
Client
Medical Spa & Wellness Clinic
An owner-operated medical spa with three providers, competing in a market where prospective clients shop several clinics at once and book with whoever answers first. Inquiries arrived by web form, text, and DM around the clock — but were answered by hand, only during business hours.
The problem
Roughly 40% of after-hours inquiries went cold before anyone replied the next morning; prospects had already booked elsewhere. The owner was doing intake manually between appointments, so even daytime leads waited, follow-up was inconsistent, and past clients who could be won back were never contacted. Every missed message was booked revenue walking to a faster competitor.
Stack
How it works
Results
The outcome
The clinic now captures 94% of after-hours inquiries with a 47-second median response, and booked appointments rose 31% in the first month. A reactivation sequence against the existing client list added $11.7k in month-one revenue — from leads that were previously lost or forgotten.
"I used to lose so many people who messaged after hours. Now the system responds in under a minute and they're on the calendar before I wake up."
— Owner, Medical Spa & Wellness Clinic
Workflow
A 24/7 intake and reactivation loop that responds, qualifies, and books every inquiry automatically — then keeps following up until the client is on the calendar.
Venue intelligence & owner brief system
Client
Independent Music Venue
A 280-capacity independent music venue running four to six events a week across wildly different formats — touring acts, DJ nights, local showcases. Booking decisions were made on gut feel and how full the room looked on the night.
The problem
A packed room felt like success, but the owner couldn't tell which events built a loyal, returning audience versus a one-time crowd that never came back. Sales lived in Square, tickets in Eventbrite, and attendance in nobody's head — three disconnected systems and no time to reconcile them. The result: money quietly lost on events that looked good but didn't pay back, and no data to plan the calendar or negotiate with agents.
Stack
How it works
Results
The outcome
By booking toward events that actually retained guests, loyal-guest retention rose 28% and revenue per head climbed $9. Three consistently low-ROI event types were cut, and the owner reclaimed about five hours a week previously spent piecing together reports by hand — now replaced by a brief that lands on their phone.
"I thought DJ nights were my best nights because the room was full. Turns out I was filling the room with strangers who never came back. The data changed how I book."
— Owner, Independent Music Venue
Workflow
An automated intelligence loop that consolidates fragmented venue data every week, finds what's actually driving loyalty and margin, and delivers it as a plain-English brief.
AI-assisted infrastructure inspection
Client
Construction & Infrastructure Firm
A regional inspection firm working state and port-authority contracts on bridges, docks, and other critical structures. Their deliverables are formal condition reports that carry real liability and must hold up to public-agency scrutiny.
The problem
Each structure took a senior inspector six to eight hours of manual footage review, and output varied by whoever did it — different defect language, different severity calls, different report formats. That inconsistency was a liability risk on regulated work, and the manual bottleneck capped how many contracts the firm could take on. Their best people were spending full days scrubbing video instead of inspecting.
Stack
How it works
Results
The outcome
Review time per structure fell from a full day to 1.4 hours — a 5.7× speedup — while classification matched senior-inspector judgment 91% of the time and caught 100% of critical defects in testing. Every report now follows the same format and severity standard, removing the inconsistency that created liability and freeing the firm to take on more contracts without adding headcount.
"What used to take my best inspector a full day now takes ninety minutes — and the report is cleaner than anything we were producing manually."
— Operations Director, Construction & Infrastructure Firm
Workflow
A vision-driven inspection pipeline that turns hours of raw footage into a standardized, severity-scored condition report — with a human inspector signing off at the end.
Hospitality demos
Event revenue capture, inventory intelligence, and guest recovery — the operational AI DigitalStone builds for restaurants, bars, and event venues, demonstrated on one venue.
The scenario
To demonstrate these systems honestly, we created a fictitious venue — Harborline Social & Events, a high-volume restaurant, cocktail bar, and private-event space — and generated a complete synthetic dataset for it: event inquiries, inventory and prep records, guest interactions, and transactions. We then ran all three demos on the real, working systems against that data, so every result reflects how the software actually behaves in real-world use — only without any real client's information. Together the three systems form one hospitality intelligence portfolio, while each remains an independently deployable product.
Structured revenue capture across every channel
Turns scattered inquiries into a qualified, tracked pipeline — cutting simulated first response from 91.5 minutes to 3.9, with a human gate on high-value events.
See the demo ›Deterministic inventory, variance & prep
Keeps every calculation deterministic and lets AI explain it — flagging stockout risks and anomalies, and drafting a manager brief before any order is approved.
See the demo ›Immediate response for missed demand
Answers missed calls and messages in seconds, checks real availability, and books or escalates — recovering 201 simulated bookings without ever inventing a time.
See the demo ›Structured revenue capture for event & group inquiries
Scenario
Harborline Social & Events simulated
Event inquiries arrive by phone, web, email, Instagram, and SMS. In the baseline process a manager reads each one, chases missing details, checks the rules, recommends a package, follows up, and updates a lead tracker by hand.
The problem
High-value inquiries slip away: responses are delayed during service, information is incomplete, leads scatter across channels, qualification varies by employee, and follow-up is inconsistent — with no reliable funnel view.
Stack
How it works
Simulated results
AI handles
Deterministic logic
Human approval
Party size over 100, estimated value over $9,000, buyouts, weddings, custom pricing, and low-confidence extractions all require human review before anything is promised.
Demonstration outcome — expected behavior under synthetic test assumptions across 240 generated inquiries, not a client result.Workflow
From a raw inquiry to a tracked, qualified lead and a deposit/contract handoff — with a human gate on anything high-value.
Deterministic inventory, variance & prep intelligence
Scenario
Harborline Social & Events simulated
A beverage-heavy bar program with food prep requirements, where counts and usage live across POS exports, spreadsheets, vendor invoices, manual counts, recipe sheets, and manager knowledge.
The problem
Fragmented data drives stockouts, over-ordering, waste, weak prep estimates, emergency orders, and unknown variance — with little visibility into theoretical versus actual usage. The system deliberately does not treat an LLM as an accounting engine.
Stack
How it works
Simulated results
AI handles
Deterministic logic
Guardrails
AI never invents counts, changes balances, overrides unit conversions, or submits a purchase. Deterministic values always win over an AI explanation, and every order needs manager approval.
Demonstration outcome — variance and anomaly figures come from 672 generated daily records with injected test cases, not a client result.Workflow
Operational and financial data in, a ranked risk brief out — deterministic math as the source of truth, with a manager gate on every purchase.
Immediate response & booking recovery for missed demand
Scenario
Harborline Social & Events simulated
During peak service, missed calls and digital messages create lost demand and interrupt staff. Guests reach out across phone, SMS, web, and DMs and expect a fast, accurate answer.
The problem
Staff cannot answer every call during service, so guests abandon requests. Repetitive questions interrupt hosts, large parties need different handling, and owners cannot measure how much demand is lost.
Stack
How it works
Simulated results
AI handles
Deterministic logic
Safety rules
Hard constraints: never invent a time, never claim a booking is confirmed without tool confirmation, respect SMS opt-out, and escalate complaints or safety issues. Private-event leads hand off to the Event & Group Inquiry Agent.
Demonstration outcome — resolution and recovery figures come from 500 generated interactions, not a client result.Workflow
A missed message becomes a verified booking or a clean escalation — grounded entirely in real tool results.
Studio
DigitalStone AI Studio is our creative add-on for the venues we work with — menus, ads, flyers, and social content generated on brand from a simple brief, without a photoshoot or a design agency. Offered as a feature alongside the systems we build.
Menus & Food
Mouth-watering dish, drink, and venue visuals for menus, specials boards, and the feeds that fill seats.
Marketing Kit
Menus, flyers, social posts, table tents, and chalkboard signage — a full kit of on-brand collateral that promotes your venue and drives bookings.
Ads & Promos
The same studio-grade product shots for your cocktails, signature plates, and retail merch — the look that carries an ad or a flyer.
Social
A consistent digital face or social presence that keeps your venue in front of guests between visits.
From menus and flyers to social ads and event graphics, we generate on-brand hospitality media from a simple brief — a creative feature we add for the businesses we build systems for.
Want media like this for your venue?
Start a project ›Contact
First conversation is free, 45 minutes, no deck. We'll either see a fit or tell you who you should be talking to instead.
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Last updated: July 30, 2026
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Last updated: July 30, 2026
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