AI systems for venues, promoters and restaurants where every night is its own deadline

Hospitality and events run on perishable inventory and hard dates. A table on Thursday, a room on Saturday, a ticket to a show that happens once: none of it can be sold the day after. That puts a brutal clock on everything, promotion has to go out on schedule, the guest list has to be right at the door, and the read on how a night performed has to arrive before the next one is booked. We build the systems that carry that cycle so the operators can run the room instead of the spreadsheet.

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212 Montréal

Nightlife venue, downtown Montréal, automated Meta campaigns, continuously managed inventory and optimized ticket sales

Where the money leaks

Inventory that expires on a schedule

Unsold tickets, empty tables and open rooms are not carried into next week, they are gone. Everything in the operation is a race against a fixed date, and promotion that goes out two days late is promotion that was wasted.

Promotion is a manual production line

Every event needs assets, copy, a schedule and campaigns across several channels, then it all resets for the next one. Doing that by hand means the small nights get under-promoted because the big ones ate the week.

The guest list lives in three phones

Names arrive by DM, by text, through a form and through a promoter, and get reconciled at the door under pressure. Everyone in the industry has watched a door line stall while someone scrolls a chat thread.

Nobody knows how the night actually performed

Ticket revenue is in one system, ad spend in another, bar and covers in a third, and the comparison across events that would tell you what to book next never gets assembled because assembling it takes a day.

Event marketing automation

Promotion for a venue or a promoter is the same production line run over and over, and the repetition is exactly what makes it automatable. Campaign scheduling comes first: each event gets its promotional calendar generated from the date, so announcement, reminder and last-call all fire on time without anyone building them the night before.

Content pipelines are the second half. Assets and copy for each event get produced from the event's own data, lineup, date, room, ticket tiers, so the smaller Wednesday gets the same promotional treatment as the Saturday headliner instead of whatever attention was left over. On the paid side, campaigns are created and managed against live sales rather than a plan written three weeks earlier, which is the system we built for 212 Montréal: automated Meta campaigns tied to continuously managed inventory and tuned to how tickets are actually moving.

The same machinery serves promoters running events across multiple venues, where the problem is not one calendar but six overlapping ones, and restaurants promoting a rotating programme of nights, tastings and holidays.

Campaign scheduling from the event date

Announcement, reminder and last-call sequences generate themselves from each event's date and tiers, so nothing goes out late and the small nights get promoted too.

Promo content pipelines

Assets and copy produced from the event's own data across the channels you actually use, so a full promotional set exists for every event rather than for the ones somebody had time for.

Paid campaigns tuned to live sales

Ad campaigns created and managed against how tickets are moving right now, not against a media plan written before the event went on sale.

In production: 212 Montréal: an event marketing machine that runs every week

What does nightclub marketing automation actually automate?
The production line, not the taste. Scheduling, asset and copy production per event, campaign setup and the reallocation of spend as sales come in. Programming, brand and the decision about who to book stay entirely yours, which is the only way it works.
We run events at several venues. Does this handle multiple calendars?
That is the harder and more valuable version of the problem. Each event carries its own date, room and inventory, and the promotional machinery runs per event, so a promoter with six overlapping calendars gets six complete promotional sets instead of triage.
Can it work for a restaurant with a rotating programme?
Yes. A tasting night, a holiday service and a weekly residency are events with dates and capacity, which is the same shape. The channels differ, the machinery does not.

Guest management and bookings

The door is where a well-promoted night can still go wrong. Guest lists that arrive through DMs, texts, forms and promoters have to become one list that is correct at 11pm, and RSVP flows have to confirm, remind and handle the drop-outs without a person watching a phone. Automating that means the list is a system of record rather than a reconciliation exercise, and the door works from something authoritative.

Table and reservation flows follow the same logic. Requests get confirmed immediately, deposits or card holds are collected where the policy calls for it, reminders go out on a schedule that actually reduces no-shows, and cancellations release capacity back to the people on the waitlist rather than to nobody. For venues where the phone is still the main channel, an AI voice agent answers reservation calls during service, when the host stand is the last place with a free hand.

The through-line is that every guest interaction leaves structured data behind. Who came, how often, what they booked, which promoter or channel brought them. That is what makes the next campaign better than the last one.

RSVP and guest-list flows

Names from every channel land in one list, get confirmed and reminded automatically, and arrive at the door as a single authoritative view instead of three phones and a spreadsheet.

Table bookings and reservations

Requests confirmed on the spot, deposits or holds collected where policy requires, reminders scheduled to cut no-shows, and cancellations released back to the waitlist automatically.

Reservation calls answered during service

A bilingual voice agent takes booking calls when the host stand is busiest, captures the details, and passes anything unusual to a human with the context attached.

Will an automated guest list survive a chaotic door?
It is built for exactly that moment. One authoritative list, searchable, updated in real time as names are added late, and readable on a phone at the door. The failure mode it removes is the one everyone in the industry has lived through.
Do reminders actually reduce no-shows?
Timed reminders and a one-tap cancel do two things: they recover the bookings that would have simply not shown, and they free the tables the guest was never going to use in time to give them to someone else. The second effect is usually the bigger one.
Can guests interact in French?
Yes, in French or English, in messages and on the phone, matched to how the guest contacted you. In Montréal hospitality that is table stakes rather than a feature.

Reporting and per-event performance

The question every operator wants answered on Monday is which nights are worth repeating, and it usually goes unanswered because the data lives in a ticketing platform, an ad account, a POS and someone's memory. A dashboard that joins them is the single highest leverage thing a venue or promoter can own, because it changes what gets booked next.

Per-event performance means the whole picture on one screen: tickets sold over time against comparable events, spend and channel attribution, door and covers, and the pattern across a season rather than one night in isolation. Per-location reporting does the same for groups running several rooms, where the interesting comparison is between venues on the same weekend.

It is wired to your actual systems, so it is current rather than assembled. The point is not a prettier report, it is that the decision about next month's programming gets made against evidence while there is still time to act on it.

Per-event dashboards

Sales over time, channel attribution, spend and door figures for each event, compared against similar past events rather than sitting alone.

Per-location and season views

For groups and promoters, the same picture across rooms and across a season, so the comparison that drives programming decisions is one screen rather than one day of work.

Automated post-event reporting

The recap that currently gets assembled by hand, or never, generated and delivered after each event to the people who decide what happens next.

What does a per-event dashboard connect to?
Your ticketing platform, your ad accounts, and where it is available your POS or reservation system. The build establishes which system is authoritative for each figure so the numbers reconcile rather than competing.
We already get reports from our ticketing platform. Why more?
Because the platform can only report on itself. What it cannot tell you is what a night cost to fill, which channel filled it, or how it compares to the same night last season across every system. Joining those is the whole point.
Is this useful for a single-room venue?
Yes, mostly for the season view. One room across a year of events is enough data to see which nights, formats and channels repeat well, which is the decision the dashboard exists to inform.

What a build looks like for a venue or promoter

The first call maps the cycle: how an event goes from booked to promoted to sold to reported, and who touches it at each step. The first system gets scoped against whichever step is costing the most, which in this industry is usually promotion production or the door.

Builds ship in three to four weeks, and sharply scoped single workflows faster. The sequencing is dictated by the calendar rather than by us: nothing gets cut over during a festival week or a holiday run, and the first piece goes live between events so it is proven before a night depends on it.

You own the systems, the data and the documentation. Programming, brand and the judgment calls that make a venue worth going to stay where they belong, with the people running the room.

Guest data in Québec is regulated data

A guest list is personal information. So is a reservation history, a ticket purchase, a phone number captured for reminders and the behavioural data behind a retargeting audience. Loi 25 applies to all of it, and hospitality collects more of it than almost any other local industry while thinking about it least.

What that means practically: consent that is meaningful rather than buried, a stated purpose for the data you collect, retention that ends, and the ability to answer a guest who asks what you hold. Building it in costs almost nothing at design time and is expensive to retrofit into a system your guests already use. Our Loi 25 and AI guide covers the detail, including where automated messaging and chat sit under the law.

Loi 96 matters at the same points. Guest-facing communications, booking flows and the voice agent that answers the phone all need to work in French, and in Montréal hospitality a system that does not is a system your guests will notice. See the Bill 96 software guide.

Why Automatik

Built for your stack

Not a generic bot, the system is wired into the tools your business already runs.

You own the system

Full access, full documentation. No platform hostage-taking.

Bilingual by default

Customer-facing pieces work in French and English from day one.

Loi 25 compliant by design

Consent, transparency and data-handling designed in, not bolted on.

The systems behind this

An AI voice agent that answers every call, in French or English, at any hour

Every inquiry answered in minutes, qualified before anyone spends a minute on it

One screen that tells you the truth about the business, right now

The fifteen hours a week you did not know you were losing

Support that answers correctly at 2am and knows when to get a human

Services that deliver them

AI automation that runs your busywork for you

Sales funnels that follow up faster than your competitors

One dashboard that runs the whole operation

Custom AI systems that do real work inside your business

Featured work in this industry

212 Montréal: an event marketing machine that runs every week

FAQ

Our programming changes constantly. Will a system keep up?
It is built around events as data rather than around a fixed campaign template, so a new format, a new room or a one-off collaboration is a new event, not a rebuild. The machinery cares about dates, capacity and channels, which do not change when the programming does.
We are a restaurant, not a venue. Does any of this apply?
Most of it. Reservations, no-show reduction, reminder flows, review generation and reporting across services are the same systems. The events layer applies as soon as you run anything on a date: tastings, holidays, private bookings, a weekly night.
Can promoters use this without owning a venue?
Yes, and the multi-venue case is where it helps most. The promotional production line, the guest lists and the per-event reporting all travel with the event rather than the room.
How long does a hospitality build take?
Three to four weeks for most, faster for a single workflow like guest-list consolidation or reservation reminders. Cutover is scheduled around your calendar, never during a run of high-stakes nights.
Does automation make the guest experience feel corporate?
Only if you let it write the personality, which is not what it is for. It handles confirmations, reminders, lists and reports. What the room feels like on the night is the part of the business that should never be automated, and taking the admin off your staff is what gives them time for it.
Do you integrate with our ticketing platform?
Usually yes, and where a platform is closed we work with what it does expose. The integration scope is established up front rather than discovered mid-build, so you know what is possible before anything starts.

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