The real alternatives to hiring us, and who each one is right for

How to compare these

The categories below are not interchangeable. A platform, an agency and a hire solve different shapes of problem, and most bad automation decisions are category errors rather than vendor errors. Four questions separate them faster than any feature list.

• Is your problem the tool or the seam between tools? If you need one app to talk to another, that is a platform job. If the logic between them is specific to how you run, that is a build.
• What do you own afterwards? Some of these leave you with a system you can take anywhere. Others leave you with an account you have to keep paying to keep the logic alive.
• Who maintains it in eighteen months? Whoever builds it will get busy. Documentation and account ownership decide whether that matters.
• Does it have to work in French? For Québec customer-facing systems it does, and retrofitting a second language means revising every sequence already in production.

1. Automatik

A Montréal AI automation agency building custom systems for owner-run and mid-sized businesses: instant lead response, quoting and intake, back-office workflows, bilingual voice and support agents, and dashboards wired into the tools a business already runs.

The work is scoped inside your operation rather than from a brief, built on top of your existing stack rather than replacing it, and handed over with the repository, the accounts and documentation written for your operations person. Customer-facing systems are built in French and English from the start, with Law 25 and Bill 96 obligations designed in rather than retrofitted.

• Best for: businesses losing hours or leads in the gaps between tools they already pay for, who want to own what gets built.
• Known for: automotive, ecommerce, hospitality and fitness builds in production, and bilingual customer-facing systems for the Québec market.
• Not for: enterprise data-science programmes, or a business that needs one simple connection it could set up itself in an afternoon.

2. Another Canadian AI automation agency

The nearest substitute, and for plenty of businesses the better one. Geography, sector experience and working style all matter more than most agency websites admit, and there are firms across the country doing serious work in this space.

Moov AI in Montréal sits at the enterprise AI strategy and data-science end. The Automators in Calgary work on custom automation and voice agents across Canada and the United States. A and H Solutions works in Montréal and Toronto on integration-led automation across existing SaaS stacks. Spiria is the place to look when the project is genuinely a custom software build. The firm-by-firm version, with who each one fits, is in the Canadian agencies round-up.

• Best for: businesses whose sector, region or scale matches another firm's centre of gravity better than ours.
• Known for: varies widely by firm, from data science to voice agents to full custom software.
• Not for: anyone shortlisting on the word AI alone. The differences between these firms are larger than the similarities.

3. A no-code automation platform, run by you

Zapier, Make and n8n are the DIY answer, and for a large share of businesses they are the correct one. Zapier positions itself on the breadth of its app directory and on being usable without a developer. Make is built around a visual scenario builder with more branching and transformation available in the canvas. n8n is source-available and can be self-hosted, which matters when data residency is a real constraint rather than a preference.

The honest limit is not capability, it is maintenance. These platforms are excellent at connecting things and poor at holding complex conditional logic legibly. When a workflow grows past a dozen steps with exceptions and retries, the automation becomes a system nobody on your team can safely edit, which is exactly the moment people call an agency. The full round-up of what each one is good at is in the tools comparison.

• Best for: connecting tools you already run, on workflows simple enough that one person can hold the whole thing in their head.
• Known for: fast setup, large connector libraries, and no developer required to get started.
• Not for: workflows where the branching logic is the product, or where per-task and per-seat billing collides with jobs that run unattended all night.

4. An all-in-one sales and marketing platform

GoHighLevel is built for agencies and their clients, bundling CRM, pipelines, funnels, messaging and campaign automation into one subscription. HubSpot sits in a similar shape at a different altitude, pairing a CRM with built-in marketing and sales automation.

The appeal is real: one login, one vendor, features that already know about each other. The trade is that your process now lives inside somebody else's product, expressed in the options that product offers. That is a fair deal when your process is close to the default. It gets expensive in effort when it is not, and the logic does not come with you if you leave.

• Best for: businesses with a fairly standard sales motion who would rather have one platform than several tools plus glue.
• Known for: CRM, pipelines and campaign automation bundled together, with agency-friendly packaging in GoHighLevel's case.
• Not for: operations whose real complexity sits in service delivery rather than in marketing, or teams that need the workflow logic to be portable.

5. The automation already inside the software you pay for

The cheapest option on this page, and the one most often skipped. Shopify has Flow. HubSpot has workflows. Most field-service, salon, clinic and property platforms ship scheduling reminders, review requests and follow-up sequences that are switched off by default because nobody had an afternoon to configure them.

Before evaluating anything else, have someone spend a day in the settings of the tools you already run. It is common to find half the problem solved by features already paid for. We have ended discovery calls with exactly that recommendation, and it is the fastest result anyone on this page can give you.

• Best for: every business, as the first thing to try, before any budget conversation.
• Known for: being genuinely capable and almost entirely unconfigured in most accounts.
• Not for: workflows that cross several tools, since each vendor's automation stops at its own boundary.

6. Hiring for it in-house

An operations person with automation ability, or a junior developer who owns internal systems. This is the strongest long-term answer for a business with continuous automation work, because context compounds. Someone in the building learns your exceptions in a way no external partner fully will.

Two honest cautions. The role is hard to hire for, because the people who are good at it are part analyst and part engineer and both markets want them. And a single internal owner is a single point of failure: when they leave, the systems they built leave with them unless documentation was enforced from the start.

• Best for: businesses with enough ongoing automation work to fill a role, and the patience to hire carefully.
• Known for: the deepest context, and the fastest iteration once the person is up to speed.
• Not for: a business with one or two workflows to fix, where the hire would be idle after the first quarter.

7. A freelancer or a connector marketplace

Upwork, Fiverr and the certified-expert directories run by the automation platforms themselves. There are genuinely excellent independent builders in these channels, often ones who previously worked at an agency and prefer working alone.

What you are buying is a person rather than a firm, which cuts both ways. It is direct, usually quick, and there is no account manager between you and the build. It also means no coverage when they are ill, on holiday or busy with another client, and a wide quality range that you have to screen for yourself.

• Best for: a well-defined single workflow where you can write the spec yourself and judge the result.
• Known for: direct access to the builder and fast turnaround on scoped tasks.
• Not for: systems your operation will depend on daily, unless you have agreed maintenance and documentation up front.

8. An offshore development shop

For a project that is genuinely a software build with a clear specification, offshore teams can deliver a lot of engineering capacity. The model works best when the requirements are stable and someone on your side can write and defend a specification.

Automation work is usually the opposite of that. Most of the value comes from discovering which of your steps are mechanical and which exceptions actually matter, and that discovery is hard to run at a distance, across time zones, in a second language, with a team that cannot sit in your office for a morning and watch how the phone gets answered.

• Best for: defined software builds with stable requirements and a strong internal owner of the spec.
• Known for: engineering capacity and cost efficiency on well-specified work.
• Not for: discovery-heavy operational automation, or French-language customer-facing systems.

9. An AI assistant, used directly

ChatGPT, Claude and the assistants built into the software you already use. Worth naming because it is a real alternative for a real set of tasks, and because plenty of businesses have quietly solved a recurring writing or summarising job this way without calling anyone.

The line is simple. An assistant is something a person operates. A system is something that runs whether or not anyone is at a keyboard. If the job is drafting a reply that a human then sends, an assistant may be all you need. If the job has to happen at 2am on a Sunday, an assistant is not the shape of the answer.

• Best for: drafting, summarising and one-off analysis, done by a person, on demand.
• Known for: immediate value with no build, no integration and no project.
• Not for: anything that must run unattended, write into your systems, or follow rules consistently every time.

The options at a glance

Questions worth asking whoever you pick

1. What do we own if we stop working with you? This separates a build from a subscription in one question, and it applies to platforms as much as to agencies.
2. What would you do first, and why that? A good answer names something specific in your business. A weaker one names a technology.
3. What happens when the system is not sure? The answer should be escalate to a person, not guess.
4. Who is the documentation written for? Documentation aimed at developers is a file. Documentation aimed at your operations manager is handover.
5. Can we see something running? Not a demo environment. Something a real business depends on today.