Useryze for enterprise · Canada · English

AI-powered growth, built with guardrails.

AI agents, content engines and paid media programs that run inside your environment, follow your controls and keep people in charge of every customer-facing decision.

Why enterprises choose us

Led by a growth leader with two decades in big tech, including Indeed, IBM and GM. We know how large organizations buy, govern and scale, and we build for that from day one.

  • Deployed in your cloud and region
  • Least-privilege agent access
  • Human approval and audit trail
  • Security review ready

Enterprise inquiry

Talk to us about your program

Tell us what you want to achieve. We reply within minutes during US business hours with next steps and set up a discovery session with the right people on both sides.

Free and no obligation.

What we deliver

One partner for growth, AI and content at enterprise scale

AI agent programs

Agents that collect data, run content pipelines, follow up with leads and report, deployed with scoped permissions and approval gates.

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Headless content engines

Payload CMS and Next.js platforms where your teams and AI agents create, review and publish across brands, languages and regions.

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Paid media data loops

Ad platforms, social, web, CRM and point-of-sale data connected into one loop for audiences, personalization and timing at scale.

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Multi-brand and multi-location growth

Shared systems with local execution: location pages, local ads, reviews and reporting rolled up for leadership.

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Marketing intelligence

Every channel in one place with a monthly report of wins, misses and action items for each brand, country or region.

Security, data protection and guardrails

AI you can put in front of your security team

Speed only matters if it is safe. Every program we run is designed around access control, approvals, auditability and data ownership.

Your cloud, your data

We build and deploy in your AWS, Google Cloud or Azure accounts, in the regions you choose. Your content, data and code stay yours.

Least-privilege access

Role-based permissions for people and agents. Each agent gets its own scoped account, secrets live in managed vaults, and access is reviewed and revoked when work ends.

Human approval on everything customer-facing

Agents draft; people approve. Content, campaigns and messages go live only after sign-off, with a versioned audit trail of who changed what and when.

Model governance

Claude, ChatGPT and Gemini used through business and API tiers configured so your data is not used to train their models. You decide which models touch which data.

Privacy and consent by design

Consent-based email and messaging, minimal personal data in prompts, clear retention rules and opt-outs honored everywhere.

Logged, tested and reversible

Every agent action is logged, a QA step checks work before launch, and changes can be rolled back. You get the architecture, data flows and access documented for your security review.

Canada · English

Enterprise programs in Canada

Canadian enterprises work across federal and provincial privacy law, strict anti-spam consent rules and, in Quebec, privacy impact assessments before personal information leaves the province. We plan programs around those rules, run in Canadian regions when required and support bilingual English and French content in one CMS.

Rules we design for

  • PIPEDA
  • Canada’s Anti-Spam Legislation (CASL)
  • Quebec Law 25
  • Provincial privacy laws (Alberta and British Columbia PIPA)

Cloud regions we can deploy in

  • AWS Canada Central (Montreal)
  • AWS Canada West (Calgary)
  • Google Cloud Montreal and Toronto
  • Azure Canada Central

How engagements run

From pilot to program

  1. 1

    Discovery and risk review

    Goals, systems, data and constraints mapped with your marketing, IT, legal and security leads.

  2. 2

    Scoped pilot

    One high-value use case live in your environment, with success measures agreed up front.

  3. 3

    Scale

    Proven workflows rolled out across brands, countries or teams, with training and documentation.

  4. 4

    Operate and govern

    Ongoing optimization under an agreed SLA, monthly intelligence reports and regular access and governance reviews.

How we work with you

Based in Austin, working with businesses in Canada

Useryze is headquartered in Austin, Texas, and works remote-first. We run your marketing over video calls, shared dashboards and email, so you get a dedicated team without paying for anyone’s office, and you can see every piece of work in your reports.

  • Open during US business hours

    Monday to Friday, 9am to 5pm Central Time. Calls are booked at times that suit your team.

  • New inquiries answered in minutes

    Send the form, call or email during business hours and a real person gets back to you within minutes.

  • Client support within 24 business hours

    Once we work together, every service ticket and request gets a response within 24 business hours, tracked until it is done.

  • Enterprise and special requests on an SLA

    Enterprise programs and special service requests run on an agreed service level (SLA), with response times set in writing.

Book a free 15-minute call →

Pick a time that suits you. It goes straight into our calendar.

Or reach us directly

Enterprise questions

Can you deploy inside our own cloud and tools?

Yes. We prefer to. Agents, CMS and data pipelines run in your AWS, Google Cloud or Azure accounts, in the region your policies require, and connect to the tools you already use, such as HubSpot, Zoho, Salesforce, Shopify, Jira and GitHub.

How do you stop AI agents from doing something they should not?

Agents get their own accounts with only the permissions their task needs, they create drafts rather than publish, a QA step checks output, and everything is logged and reversible. People approve anything customer-facing.

Which AI models do you use, and is our data used for training?

We work with Claude, ChatGPT and Gemini through business and API offerings configured so your inputs are not used to train the providers’ models, and we choose the model per task. If you have approved models, we use those.

Will you work with our security, privacy and legal teams?

Yes. We document architecture, data flows, access and retention, answer security questionnaires, sign data processing agreements and follow your policies for vendors, data handling and change management.

Do you support bilingual programs for Canada?

Yes. Content engines manage English and French versions side by side, with approval steps for each language, and campaigns follow CASL consent rules.

How do time zones and response times work?

Useryze is a remote-first company headquartered in Austin, Texas. We are based in Austin, open Monday to Friday, 9am to 5pm Central Time, and answer new inquiries within minutes during those hours. Enterprise programs run on an agreed SLA with response times set in writing, and calls are scheduled at times that work for both teams.

How do enterprise engagements start?

Usually with a discovery session and a scoped pilot on one use case, so you see results in your own environment before scaling.

Let’s scope your pilot

Tell us your goals and constraints. We will come back with a scoped pilot and the people to make it happen.

Start the conversation →