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One safe place for your whole team to use AI
We set up a private, governed AI workspace for your whole organization, then support it and help your people get real value from it. One plan for the team, not a licence for every person.
Here's the honest part. Your team is almost certainly using AI already, just on personal logins you can't see, with company information going into tools nobody set up. We'd rather give you one place that's private, governed, and looked after, so the upside is real and the risk isn't.
65+ models in one place
Not used to train public AI
One plan for your whole team
Fully supported
Policy enforcement on every device
Usage included, no metering
Your team is already using AI
The question isn't whether your people use AI. It's whether they're doing it somewhere you can see and trust. Right now it's usually scattered across free accounts, with no rules and no record. One governed workspace fixes that quietly, and your team gets a better tool in the bargain.
Every model your team might want
If your team is on a single tool today, this opens up all of them. One platform instead of a stack of separate subscriptions, with the right model picked for each job.
Smart switching. The platform suggests the right model for each task, weighing speed, intelligence, and cost, so nobody needs to be an expert to choose well.
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OpenAI (ChatGPT and the GPT-5 family)
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Anthropic Claude (Sonnet and Opus)
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Google Gemini
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xAI Grok
Meta Llama
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Amazon Nova
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65+ models in total, with new ones added as they launch
Private by design, not just by promise
This is the part that matters most, so here it is in plain terms. The platform is built so your information stays yours, access stays in your hands, and you always know where things stand.
What's included, and what's separate
We like the line to be clear from day one. The managed platform covers everyday AI for your whole team, set up and supported by us. Tailored work that we build and maintain for a specific process is scoped on its own, so you always know what you're paying for.
The platform gives your team the everyday tools and the building blocks for automation. When you want something tailored built and looked after, we'll point you to the right starting place and price it on its own. Nothing important hides in the fine print.
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Plans that scale with use, not headcount
Every plan includes the full platform. You pay for monthly usage shared across your whole team, not a licence for each person, so lighter users don't add to the bill. Pick the plan that matches your usage, and move up or down as you go.
Team 10
$650
/mo
up to 10 people
Team 20
$1,300
/mo
up to 20 people
Team 30
$1,950
/mo
up to 30 people
Team 40
$2,600
/mo
up to 40 people
Team 50
$3,250
/mo
up to 50 people
Larger
Custom
(contact us)
50+ people
All prices in Canadian dollars. Every plan covers your whole team. Usage is included within fair and reasonable use, which covers virtually all teams. In the rare case of unusually heavy use we will flag it and talk it through, never a surprise bill. One-time setup from $2,500. Pricing reflects current AI platform and model costs. Because the AI market moves quickly, we may adjust pricing with 30 days written notice. Changes can go either way, and we pass savings along when costs come down.
Which plan fits your team?
One quick question. Tell us your team size and we'll show you the matching plan and its monthly price in Canadian dollars. Team size over 50? We'll work out a custom plan on a call.
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Your recommended plan
Add your team size to see a plan.
Your recommended plan
$280/mo
Intro plan, in Canadian dollars
Setup is a one-time $2,500: provisioning, onboarding, recorded training, and a 30-day follow-up. It's separate from the monthly plan.
How this compares
The differences below come down to one thing: whether it's built for your whole team from day one, or bolted together seat by seat.
Always Beyond Managed AI | ChatGPT Enterprise | Claude Enterprise | M365 Copilot | Perplexity Enterprise | |
|---|---|---|---|---|---|
Price | Flat team plan (see pricing above) | $45–75 USD/seat, ~150-seat minimum | $20 USD/seat
+ metered usage | $30 USD/seat + M365 licence | $40–325 USD/seat |
One plan, whole team, everything included | Yes | No (per seat) | No (per seat) | No (per seat) | No (per seat) |
Every major model, no vendor lock-in | Yes | No (OpenAI only) | No (Anthropic only) | No (OpenAI via Microsoft) | No (search-focused) |
Production agents built and run for you | Yes | No (DIY) | No (DIY) | No (Copilot Studio, DIY and metered) | No (not offered) |
Delegate whole tasks | Yes | No | No | No | No |
Replaces Make / Zapier / n8n, automation built in | Yes | No | No | No (Copilot Studio DIY) | No |
Policy enforcement on user devices | Yes | No | No | No | No |
Your branding and domain | Yes | No (self-serve) | No (self-serve) | No (self-serve) | No (self-serve) |
Managed and supported by your IT partner | Yes | No (self-serve) | No (self-serve) | No (self-serve) | No (self-serve) |
Zero data retention as standard, enforced per client | Yes | Not published | Partial (ZDR by approval only) | No (standard M365 retention) | Not published |
Adoption and ROI reviewed with you quarterly | Yes | No | No | No | No |
Competitor figures are published rates and reported 2026 procurement ranges and vary by contract.
Sense-check this with your own AI
We sell this platform, so of course we'd frame it our way. Here's the fix: paste these into ChatGPT, Claude, or Gemini and see what an independent answer looks like. If it doesn't line up, tell us, and we'll talk it through.
Per-seat vs one shared platform
I'm a business owner in Canada with a small team of people who'd use AI. Compare two options without sales language: (1) buying individual AI seats, where ChatGPT Enterprise runs about $45 to $75 USD per seat per month with seat minimums, Claude Enterprise runs about $20 USD per seat plus metered usage, and Microsoft Copilot runs about $30 USD per seat plus the M365 licence, and (2) one flat-fee AI platform priced by team size instead of per seat. At what team size does the flat-fee platform win on cost? What do I gain or lose on each? Be specific.
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What should a governed platform include?
If a provider sells my company a 'secure, governed AI platform', what should genuinely be included for it to be worth it? Cover data privacy (is my data used to train public models?), single sign-on, audit logs, admin control over which models staff can use, a choice of models, and support. What are the red flags that it's just a thin wrapper around one model?
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Risks of staff using free AI tools
For a Canadian company with a small team, explain the real risks when staff use free or personal AI accounts for work: company data going into tools nobody controls, no record of usage, and privacy obligations under PIPEDA. How common is this, and what's the practical fix? Be balanced.
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You're Dealing with Impersonal Support
Is there real value in a team having access to many AI models (Claude, GPT, Gemini, Llama and others) in one place, versus standardizing on a single tool? When does model choice actually matter for everyday business work, and when is it just noise? Give me honest pros and cons.
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See what a governed AI workspace could do for your team
A short call is all it takes. We'll look at how your team works, confirm the right plan, and show you what good looks like. No pressure, no script.
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