Soon, every company will have its own AI workforce. Let’s build yours now.
Most teams already run on email, a CRM, and a few tools. The AI layer plugs in above all of it. No new platform to migrate to, no months of setup. Your stack stays. The busywork leaves.
One AI layer, many roles. It takes the repetitive work off each desk — so your people spend their hours on the work that actually needs a human.
Sends the morning brief, chases open items, and flags what is overdue before it slips.
Replies to new leads in minutes, books the call, and keeps your CRM up to date.
Drafts posts and emails in your voice and reads your ad performance for you.
Turns meetings into action plans, files the notes, and handles the paperwork.
Pulls the figures, reconciles, and assembles your monthly pack — on time.
Drafts branded documents and SOPs, then reviews the work before it ships.
Replies in chat, resolves the common requests, and escalates what needs a person.
Pick your industry. These are the jobs the layer takes off your plate end to end — finished work, not suggestions.
Keeps schedules in sync across your GCs and subs, chases open items, and flags slippage before it hits the critical path.
Watches every permit and inspection deadline and nudges the right person so nothing expires mid-build.
Connects to your contractor database, follows up on RFIs and quotes, and keeps everyone accountable.
Turns site photos and field notes into clean daily logs and progress updates for the client.
On the surface, a normal conversation. Underneath, the work actually gets done — for your customers and for your team.
🏷️ Sarah is just a name. Pick whatever fits your brand. Your customers feel looked after; you keep your evenings.
💬 Your team just @mentions it. No new app to open, no ticket queue — they ask in the chat they already use.
The layer builds a living memory of your business — your clients, your projects, the way you do things — and turns every email, document, and conversation into something it knows next time. Teach it a new task once, and it owns it from then on.
Six years building automation and AI for real businesses across the GTA — not a side experiment.
Outcomes vary by business — we map yours before any build.
No rip and replace. The layer connects to your existing apps and moves work between them — so nothing has to change for your team.
Four things separate a tool you have to drive from a teammate that drives itself. The fifth is the one we built the company around.
A subscription hands you software and leaves the operating to you. We install the layer into your own tools and your own data, keep it matched to your systems as they change, and give you a team in Toronto that knows how your business runs. There is nothing for you to configure, prompt, or keep alive.
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Start the mapStraight answers on how the AI layer works, what it costs, and what you’re signing up for.
Generic tools are built to work for everyone, which means they know nothing about your business. Not your pricing, your customers, or your software. We build your AI layer into the tools you already run, trained on how your company actually works. You get an employee, not a subscription you have to configure and babysit.
No surprise bills. Your pricing includes the cost of tokens, the compute that powers your AI, so you’re not billed for usage on top. Most AI tools meter by credits or tokens, which means your cost climbs the more you use them. We’ve optimized our systems to run far more efficiently than typical setups, so token usage isn’t something you have to watch or pay for separately. We’ll walk you through the full pricing on our first call, so you know exactly what to expect.
That’s the whole point. We connect to the systems you already run: your CRM, dispatch board, accounting, scheduling. Off-the-shelf tools rarely integrate with industry-specific software, which is why they stall out in trades and manufacturing. We build for your stack, not a generic one.
Zero. We scope it, build it, run it, and improve it. Most AI platforms hand you the keys and expect you to prompt, configure, and troubleshoot. That is fine if you have engineers, and a dead end if you don’t. You don’t touch a thing; you just get the output.
We monitor and maintain it, and a real team in Toronto fixes it, usually same day. Self-serve tools leave you alone with a ticket queue when something breaks. Our clients have a partner accountable for the result, not just a login.
No. Just like an employee, you can give us two weeks’ notice to disconnect the AI from your business anytime. Your data and everything the AI has produced for you are yours to keep, just like the work of any employee who moves on.
An agent runs a task when you ask it to. You open it, prompt it, check what came back, and it forgets everything before the next run. An employee holds a job. It owns a function end to end, remembers how your business works, runs on its own schedule, and reports what it did. The gap between the two is not intelligence. It is ownership, memory, initiative and accountability.
Four to fourteen days of install for most deployments, depending on how many systems it has to reach and how quickly we get access to them. We scope it in writing before anything is built, so you know which end of that range you are on before you commit to it.
Yes. If we part ways we give you an export of your data in a commonly readable format within thirty days of your written request, together with a written description of the processes that were running for you. We then delete our copy on your instruction, or within ninety days if you give none. That is a clause in the contract, not a promise on a web page.
It is not built to. The layer takes the work nobody wanted in the first place: the chasing, the re-typing, the report somebody compiles by hand every Friday. Most owners use the hours it gives back to grow with the team they already have. If you are about to hire someone just to keep up with admin, talk to us first.
Owner-led companies with real operational volume and software they already depend on. Trades, manufacturing and professional services. The common thread is a team buried in coordination work, and industry software that off-the-shelf AI tools do not connect to.
That is our job, not yours. Models get retired, APIs change, platforms rename things without warning. Every automation we run is watched by a second one, so we usually know something has broken before you do, and correcting it is included in what you already pay.
No. We are based in Toronto and most of our clients are in the Greater Toronto Area, which is why you can get us in a room when it matters. The install and the day-to-day running are remote, so where you are is not a barrier.