Artificial intelligence
We were wiring IBM Watson into interactive experiences years before the current wave. Today we integrate AI where it actually pays: into your operations, your tools and your everyday work.
AI doesn't replace your business. It accelerates it.
The models are everywhere. The difference is the integration.
We don't sell a platform and we have nothing to push. We take the models that exist — the best of the moment — and wire them into your reality: your tools, your data, your people. It's the craft we've practiced since Watson: putting spectacular technology to work in a context that forgives nothing.
Where we come from
Long before the generative wave, we were wiring IBM's cognitive services — voice, vision, language — into interactive installations that had to perform in front of a live audience, every day. That's where you learn what no demo ever shows.
The rest is the wiring: the data going in, the actions coming out, the edge cases a full room finds within ten minutes. That other 80% is what we've been practicing for over a decade.
An installation that gets it wrong in front of two hundred people doesn't get a second chance. We learned to put AI in production with guard-rails — not with promises.
Watson, then vision networks, then generative models: the stack has changed three times. Our systems stayed in service — because they were built to outlive their model.
Image generation, previsualisation, production pipelines: AI has been working inside our own studio for years. We sell what we practice — and nothing else.
What changes
The repetitive workno longer waits for anyone.
The integrations
No platform to adopt, no house subscription: every integration plugs into what you already have, and is measured in hours given back to your teams.
01
Where AI pays in your business — and where it won't.
Two or three days inside your operations, following the information: what gets retyped, summarized, filed or answered by hand. You leave with an honest map — the places where AI pays within the first month, and the ones where it never will. You decide with a plan, not a hunch.
02
Your ERP, your CRM, your inbox — augmented.
Nothing new to open in the morning: the intelligence plugs into the tools your teams already use. The quote that arrives pre-filled, the client email summarized and filed before it's read, the monthly report that writes itself from the system's numbers — and gets proofread in five minutes instead of built in three hours.
03
The hours lost to copy-paste come back.
Purchase orders retyped from PDFs, invoices filed by hand, the same replies written twenty times: these tasks now handle themselves, with a person validating instead of executing. It's the fastest integration to pay for itself — and the one teams love most, because it removes exactly what nobody wanted to do.
04
It answers from your documents. Not the Internet.
Your past quotes, your manuals, your drawings, your procedures: an internal assistant that answers your teams' questions from what the company already knows — and cites its sources. Twenty years of know-how stops living only in three people's memory. Hosted wherever you decide.
05
Our own pipeline, put to work for you.
Images, video, sound, previsualisation: the generative pipeline we use every week for our own productions, installed and taught inside your company. Your mockups, product sheets, clips and presentations come out ten times faster — with your art direction, not a model's.
06
So it stays used — and used properly.
Teams trained on your real cases, not conference examples. And clear rules: what may go out, what never leaves, what AI prepares and what a person signs. An integration without training dies in three months; training without guard-rails ends up in the news.
Your case isn't on the list?
These six doors are our most frequent ways in, not the limits of the craft. Voice, sound, video, code: the models move every month, and our job is precisely knowing which ones are worth wiring into your business — and which ones aren't worth it yet. That's what the mapping is for.
In your tools
Nothing new to open.Everything gets faster.
The principles
They date from our Watson years, and three generations of models haven't changed them.
01
No system we ship sends, signs or decides on its own. AI prepares the work; a person validates it. That's what makes adoption possible with your teams — and what protects you.
02
What's confidential never leaves the house. Hosting in Quebec or on your own servers when it matters, and an agreement that says in plain words what is sent, where, and to whom.
03
One more tool is one tool too many. If your teams have to change how they work to benefit from AI, the integration failed before it started.
04
Every integration carries a number: hours given back, a shorter delay, an error rate. If there's nothing to measure, we'll tell you there's nothing to do — it has happened, and those clients call us back.
On every mandate — ours and yours. AI speeds up drafts, variants and the repetitive; judgment, direction and finishing stay human, and the deliverable is judged on the result, not the tool. What you pay for is that judgment and the guarantee that comes with it — never the hours the machine saved. Those hours come back to you, in speed or in price.
The use
One question asked.One answer that knows.
The method
The same method as our management systems: built with the people who will use it, delivered in pieces, measured at every step.
01
Two or three days on site, following the information end to end: where it gets retyped, summarized, or waits. We leave with the map of your operations as they really work — and the two or three places where AI would pay within the first month.
02
A first use case, within weeks: a real workstation, a real task, a number before and a number after. That's what decides what comes next — not a slide deck.
03
Into your tools, with the guard-rails, logging and access control that make a system hold up in production. Under the hood, the same Laravel and database foundations as our management systems — but that's our problem, not yours.
04
Models change every six months; your integrations must follow without starting over. We train your teams on their real cases, watch for what degrades, and upgrade when it's worth it — not when it's fashionable.
Who it's for
The signal is always the same: competent people spending their days moving information around instead of deciding.
If your need is solved by a subscription to a consumer tool, we'll tell you at the first meeting — it costs a few dollars a month and doesn't justify a mandate. Integration is justified when AI has to touch your data, your tools and your processes. That's where it becomes our craft.
Your business
The company's knowledgeno longer leaves at five.
Your business
One hour is enough to spot two or three places where AI would pay in your business — and to tell you frankly if it won't.
Creative Drops — immersive experiences, management systems and artificial intelligence integration. Montreal, Quebec.