Trusted AI

Data Governance and Compliance for AI

Data governance is the set of policies, roles, and controls that decide how your business collects, stores, uses, and protects data, and compliance is proving those practices meet Canadian privacy laws like PIPEDA and Quebec's Law 25.

Before AI can be trusted, your data has to be. We help Canadian commerce businesses put the frameworks, consent, and controls in place so AI runs on clean, secure, and compliant data, aligned with PIPEDA and provincial privacy laws.

What's Included

Practical capabilities for Canadian manufacturers, wholesalers, retailers, and DTC brands.

Data Governance Framework

A clear framework that defines data ownership, quality standards, and rules for how commerce data is used across Shopify, HubSpot, and your ERP.

Data Quality and Readiness

Cleaning, structuring, and validating data so your AI models and reporting can be trusted, not just built on messy records.

Consent and Privacy Management

Policies and mechanisms for collecting, documenting, and honouring consent in line with Canadian private-sector privacy requirements.

AI Governance and Model Oversight

Guardrails for how AI models are built, tested, monitored, and documented so outputs stay accountable while Canada's AI rules take shape.

Access Control and Data Security

Role-based access, encryption in transit and at rest, and audit trails that protect sensitive commerce and customer data.

Compliance and Audit Readiness

Mapped data flows, documentation, and breach-response processes that make privacy reviews and partner audits straightforward.

By Industry

What each commerce model must govern and comply with.

Manufacturers

  • Supplier and BOM data integrity
  • Production data access controls
  • Protection of proprietary and trade data

Wholesalers

  • B2B customer and pricing data governance
  • Account-level access rules
  • ERP data quality and consistency

Retailers

  • Customer personal information and consent
  • POS and ecommerce data security
  • Multi-province privacy obligations

DTC Brands

  • First-party and marketing consent data
  • Cross-channel data accuracy
  • Clean data for personalization and AI

How governance connects to your AI program

Data governance pairs directly with AI Cybersecurity for protecting that data and with AI Transformation as the foundation any AI program is built on. See those topics on our AI Solutions hub, or explore B2B commerce and customer success systems where data quality matters day to day.

The governance framework

Discover, classify, govern, secure, and monitor your commerce data.

1

Discover

Map where commerce data lives across Shopify, HubSpot, ERP, and connected tools.

2

Classify

Tag what is sensitive, who owns it, and how it is allowed to be used.

3

Govern

Set the policies, roles, consent rules, and quality standards.

4

Secure

Apply role-based access, encryption, and vendor due diligence.

5

Monitor

Track usage, document everything, and stay audit and breach-ready.

Built for Canadian privacy law

PIPEDA is Canada's federal private-sector privacy law and applies to commercial handling of personal information, including businesses outside Canada serving Canadian customers. It is administered by the Office of the Privacy Commissioner of Canada, which is increasingly willing to pursue judicial remedies to compel compliance.

Quebec's Law 25, Alberta PIPA, and BC PIPA apply within those provinces, so a business selling across Canada may need to meet several regimes at once. Law 25 in particular adds privacy impact assessments, breach notification, and higher penalty exposure than PIPEDA alone.

Canada has no enacted cross-sector AI law as of 2026 since AIDA lapsed in early 2025, with replacement legislation anticipated. We help you build AI governance now using voluntary best practices and existing privacy law so you are ready when new rules arrive.

AtlanticWorks provides implementation and data-readiness support and works alongside your legal counsel. This page is informational and not legal advice.

Data Governance and Compliance FAQ

Data governance is the framework of policies, roles, and controls that decides how your business manages and protects its data. For commerce, it spans customer records, product, and pricing data, and it is the foundation that makes AI and reporting trustworthy.

Most Canadian businesses that handle customer personal information for commercial activity are subject to PIPEDA, and it can also apply to foreign businesses serving Canadian customers. We help you put aligned practices in place, working with your legal counsel, since this is implementation support rather than legal advice.

PIPEDA is the federal private-sector privacy law, while Law 25 is Quebec's provincial law that applies to activity within the province and adds stricter requirements such as privacy impact assessments and breach notification. A business selling across provinces may need to meet several of these regimes at once.

AI is only as reliable as the data behind it, so models trained on messy or non-compliant data produce poor results and create privacy risk. Putting governance in place first is what makes an AI rollout both accurate and defensible.

As of 2026 Canada has no enacted cross-sector AI law because the proposed AIDA lapsed in early 2025, and replacement legislation is anticipated. We help you adopt AI governance now using voluntary best practices and existing privacy laws so you are prepared when new rules come into force.

Ready to put AI to work in your commerce operation?

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