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 that those practices meet laws like Canada's PIPEDA.
Before AI can be trusted, your data has to be. We help Canadian commerce businesses put frameworks, policies, and controls in place so AI runs on clean, secure, and compliant data across Shopify, HubSpot, and ERP.
What's Included
Practical capabilities for Canadian manufacturers, wholesalers, retailers, and DTC brands.
Data Governance Framework
Define ownership, data quality standards, and rules for how commerce data is used across your stack and teams.
Data Quality and Readiness
Clean, structure, and validate product, customer, and order data so AI models and reporting can be trusted.
Privacy and Consent Management
Controls for collecting, storing, and using customer data with proper consent under Canadian privacy expectations.
AI Governance and Model Oversight
Guardrails for how AI models are built, tested, monitored, and documented so outputs stay accountable.
Access Control and Data Security
Role-based access, encryption, and audit trails for sensitive commerce and customer information.
Compliance and Audit Readiness
Documentation and processes that make PIPEDA reviews and partner compliance checks straightforward.
Governance by Industry
What each commerce model must govern and comply with.
Manufacturers
- Supplier and BOM data integrity
- Production data access controls
- IP and trade-data protection
Wholesalers
- Customer and pricing data governance
- B2B account access rules
- ERP data quality standards
Retailers
- Customer PII and consent management
- POS and ecommerce data security
- Payment data compliance
DTC Brands
- Marketing and consent data
- First-party data governance
- Cross-channel data accuracy
Governance before scale
Data governance pairs directly with AI cybersecurity for protection and AI transformation as the foundation any AI program is built on. We help you get the framework in place before models and agents multiply across your stack.
The governance framework
Discover, classify, govern, secure, and monitor your commerce data.
Discover
Map where commerce data lives across Shopify, HubSpot, ERP, and other systems.
Classify
Tag what is sensitive, who owns it, and how it can be used.
Govern
Set policies, roles, and quality standards that apply across teams.
Secure
Apply access controls, encryption, and consent rules.
Monitor
Track usage, flag issues, and stay audit-ready.
Built for Canadian privacy law
AtlanticWorks helps align data practices with PIPEDA, keeps customer data handling appropriate for Canadian businesses, and tracks Canada's evolving AI rules including proposed AIDA. This is implementation support, not legal advice, and we work alongside your legal counsel.
Data residency considerations matter when selecting cloud and AI vendors. We map where data is stored and processed across Shopify, HubSpot, ERP, and AI tools so you can make informed architecture decisions.
Data governance pairs with AI cybersecurity for protection and with AI transformation as the foundation any AI program is built on. See those topics on our AI Solutions hub.
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 covers customer records, product and pricing data, and the rules that make AI and reporting trustworthy.
AI is only as reliable as the data behind it. Without governance, models train on messy, duplicated, or non-compliant data, which produces poor results and creates privacy risk. Governance comes before any serious AI rollout.
Data governance manages the data itself. AI governance manages how models use that data and make decisions. A complete program needs both, sharing the same policies, owners, and audit trail.
Most Canadian commercial businesses that handle customer personal information are subject to PIPEDA. We help you put practices in place that align with it, working alongside your legal counsel. This is implementation support, not legal advice.
Start by mapping where data lives across Shopify, HubSpot, and ERP, then classify what is sensitive. From there we build a lightweight framework and tighten controls, with meaningful progress usually visible within the first 90 days.
Ready to put AI to work in your commerce operation?
Start with a free assessment. We will map the highest-impact next step for your stack, team, and data.