# Canadian Privacy Regulators Spotlight AI and Cross-Border Data Risks at National Meeting Source: https://in-store.ca/blog/canada-privacy-regulators-put-ai-transparency-on-the-table Published: 2026-09-19 Reviewed by: Alex Makarov, CEO & Founder, IN-STORE (https://in-store.ca/team/meet-alex) Publisher: IN-STORE, Toronto, Canada > Canada privacy regulators discussed AI and cross-border data flows. Use this one-page data map, vendor questions, and AI disclosure for your site. ### A One Page Data Map And Plain Language Disclosure For GTA Service Firms Using Marketing Tools For many Toronto and GTA service businesses, marketing and lead capture now runs through third party tools that store and process customer information outside your own website. Once a buyer, partner, or procurement team asks a direct question about where data goes or how AI is used, a vague answer can slow deals and add risk. On September 16, 2026, Canada’s federal, provincial, and territorial privacy and information regulators met in Ottawa to discuss transparency, privacy protection, and independent oversight. The Office of the Privacy Commissioner of Canada said the discussions focused on opportunities and risks linked to emerging technologies including AI, quantum computing, and advanced data processing systems, and also covered cross border data flows and digital sovereignty. Below is a practical, one page approach you can adopt quickly: a simple data map you can maintain, specific vendor questions to ask about processing locations, and a short website disclosure statement that explains AI use in plain language. ## What The Regulators Discussed And Why It Shows Up In Buyer Questions According to the Office of the Privacy Commissioner of Canada, Canada’s federal, provincial, and territorial privacy and information regulators met in Ottawa to discuss transparency, privacy protection, and independent oversight. The same release points to emerging technologies including AI, quantum computing, and advanced data processing systems, plus cross border data flows and digital sovereignty. For a service business, this lands in a practical place: your marketing stack is often an “advanced data processing system” in real life. A contact form, a call tracking number, a booking flow, an email platform, a chat widget, a CRM, an analytics tag, and an ad platform can all touch personal information. If any part of that stack uses AI features, or sends data across borders, the business needs a clear internal explanation that a non marketer can repeat accurately. A useful internal rule is to treat “transparency” as an operational deliverable, not a policy page. You want a one page map you can show to a partner or use as a script when someone asks, “Where does our customer data go?” ## A One Page Data Map For Marketing Tools (What To Capture) Build a single page that lives with your marketing operating docs. Keep it updated whenever you add or remove a tool, install a new tag on your site, or change who has admin access. The goal is speed and consistency: anyone on your team can answer routine privacy questions without improvising. ### The Minimum Fields To Include - **Tool name** (the vendor and the specific product or workspace name you use). - **What customer information it touches** (for example, form submissions, appointment requests, emails, phone calls). - **How information enters the tool** (website form, booking embed, import, manual entry, integration). - **What the tool does with it** (store, route to staff, score, summarize, generate drafts, automate replies). - **Who in your business can access it** (roles or job titles, plus any agencies or contractors). - **Processing locations** (what the vendor states about where information is processed or stored, and whether cross border data flows occur). - **AI use** (what AI features are enabled in your account, what inputs they use, what outputs they generate). - **Retention and deletion** (the practices you follow inside your account, such as deleting test leads and removing former staff access). - **Owner** (one named person responsible for keeping the map current and answering questions). Many businesses already have pieces of this scattered across vendor contracts, login notes, and old onboarding emails. Consolidating it into one page is the win. It also forces you to notice “invisible” data movement, especially when marketing tools connect to each other. ## Vendor Questions To Ask About Processing Locations And Cross Border Data Flows The Office of the Privacy Commissioner of Canada release specifically notes cross border data flows and digital sovereignty as discussion topics. For SMBs, that becomes a vendor diligence habit: you want consistent answers about where information is processed, and whether your setup triggers cross border data flows. ### Ask These Questions In Writing - **Where is our customer information processed and stored?** - **Do you use sub processors, and where do they process information?** - **Which features in our account use advanced data processing systems, including AI?** - **What inputs do those features use?** (for example, are they limited to what we type into the tool, or do they analyze customer messages and form fields). - **What outputs do those features generate?** (summaries, suggested replies, lead scoring notes, content drafts). - **Can we turn specific features off, or limit what information is processed?** - **What access pathways exist?** (admin roles, support access, agency access). - **What logs or records exist for our account activity?** A non obvious benefit of doing this early is that it improves internal accountability. Once you document which AI features are enabled, you can tie them to specific workflows and approvals, rather than letting features quietly expand their footprint over time. That matters because “independent oversight” is easier to demonstrate inside your business when you have named owners and repeatable controls, even when you are a lean team. ## A Simple AI Use Disclosure Statement For Your Website Transparency only works when it is understandable. If your site or marketing operations use AI in any way that touches customer communications or lead handling, publish a short disclosure in plain language. Keep it aligned with what you actually do. ### Plain Language Template (Edit To Match Your Setup) **AI Use Notice** We use software tools that include AI features to support our marketing and customer intake. Depending on the interaction, these tools may help us sort inquiries, summarize messages, and draft content for review. We review outputs before they are used in customer facing communications. **Where Information Is Processed** Some of our marketing and website tools are provided by third parties and may involve cross border data flows. We work with vendors to understand where information is processed and to manage access to our accounts. **Questions** If you have questions about how we use these tools, contact us and we will explain the tools involved and how your information is handled in our intake process. This kind of statement does two jobs at once. It sets expectations for customers, and it creates a forcing function internally: if you cannot describe a tool’s AI use, you should not be using it on real customer inquiries until you can. ## How This Connects To Your Marketing System In Practice IN-STORE sees the same pattern across lead generation systems: results improve when the web presence, lead capture, and follow up workflow are treated as one connected system with clear ownership. The same approach supports privacy transparency. Start with the customer intake path. Map each step from the website to the first human follow up, then attach the tools that touch information at each step. This is also a good time to remove unnecessary tools, remove unused integrations, and tighten who has access. The operational output you want is simple: one page you can keep current, plus a vendor Q and A file you can reuse. If you want help turning this into a maintained operating system, IN-STORE can package it into ongoing execution: aligning [Website & UX work](https://intake.in-store.ca/services) with lead capture paths, documenting tool handoffs, and keeping an updated record as you add new marketing workflows. The Office of the Privacy Commissioner of Canada has put transparency, cross border data flows, and AI related risks on the agenda with federal, provincial, and territorial regulators. For GTA service firms, the practical response is a data map you can stand behind, vendor answers you can produce quickly, and a short disclosure that matches your real workflow. If you want a guided build of a lead capture system that stays maintainable as tools change, start with IN-STORE’s [Lead Generation Systems](https://intake.in-store.ca/services) scope and tie it to a one page data map your team can keep current. [Contact IN-STORE to build a maintainable lead capture system](https://www.in-store.ca/) Source: [Office of the Privacy Commissioner of Canada](https://www.priv.gc.ca/en/opc-news/news-and-announcements/2026/nr-c_260916/)