Canada's AI Register Consultation Report: What the 'What We Heard' Findings Mean for Global Businesses

Canada has published the findings from its public consultations on the Government of Canada AI Register, and the results offer a clear signal of where federal AI governance is heading. For professional services firms operating internationally, this is not a niche Canadian story — it is an early indicator of how transparency obligations are being shaped across jurisdictions, and what your clients may soon expect from you.

What Is the Government of Canada AI Register?

The AI Register is Canada's initiative to publicly document where and how the federal government uses artificial intelligence in its operations. The version that went to consultation is described as a Minimum Viable Product — a foundational structure intended to evolve based on stakeholder feedback rather than a finished framework.

The "What We Heard Report," published on 11 September 2026, summarises what members of the public, civil society, and industry told the government during that consultation period. It identifies what respondents valued about the register, what concerned them, and what changes they want to see in future iterations.

What the Report Reveals

Several themes emerge from the consultation findings that are relevant well beyond Canada's borders.

Transparency is valued but insufficient on its own. Respondents broadly welcomed the existence of the register — the principle that government AI use should be documented and visible to the public. However, there was consistent feedback that transparency alone does not equal accountability. Knowing that an AI system exists is not the same as understanding how it affects decisions, what data it uses, or how errors are identified and corrected. Stakeholders pushed for deeper, more meaningful disclosure.

Plain language matters. The register's initial format drew criticism for being too technical or opaque for non-specialist audiences. This is a telling point. Governments and organisations may believe they are being transparent by publishing technical documentation, but if that information is not accessible and comprehensible, it fails its purpose. The pressure is clearly towards disclosure that a reasonably informed person can actually use.

Consistency and completeness are ongoing concerns. Respondents flagged uneven coverage — some AI systems were documented in detail, others barely at all. This inconsistency undermines trust. If a register is selective, intentionally or not, it risks becoming a public relations exercise rather than a genuine accountability mechanism.

Future improvements are expected. The report signals that the register will evolve. Suggested enhancements include more information on risk levels, clearer descriptions of how AI systems are monitored, and stronger links to complaint or redress mechanisms. This suggests Canada views its current register as a starting point, not a destination.

Why This Matters Outside Canada

The significance of this report is not limited to organisations that do business with the Canadian federal government. There are three broader implications worth noting.

First, AI disclosure is becoming a baseline expectation across jurisdictions. The EU AI Act already imposes transparency requirements. The UK is developing its own AI governance framework. Singapore, Australia, and Gulf states are each moving in similar directions. Canada's register — and the public's response to it — confirms that disclosure obligations are not a future possibility. They are an emerging norm. Professional services firms that advise clients on AI use, or that use AI in delivering their own services, will need to be able to explain what they are doing and why.

Second, the feedback highlights the gap between compliance and credibility. Being technically compliant with a disclosure requirement is not the same as providing information that stakeholders find meaningful or trustworthy. The demand for plain-language explanations, risk indicators, and redress mechanisms reflects a more sophisticated public and regulatory environment. Businesses that treat disclosure as a box-ticking exercise will find that approach increasingly untenable.

Third, accountability mechanisms are following transparency obligations. The consultation feedback explicitly called for links between AI registers and complaint or redress processes. This is significant. It means regulators are not only interested in documenting AI use — they are looking at what happens when something goes wrong. Professional services firms should be thinking about how they would respond to a client complaint involving an AI-assisted decision or output.

The FTC Personalised Pricing Development

Separately, on 15 September 2026, the US Federal Trade Commission extended the comment deadline on its proposed enforcement policy statement regarding personalised pricing. Comments are now due on 25 September 2026, moved from the original deadline of 18 September 2026.

Personalised pricing — where AI systems analyse individual data to set different prices for different customers — sits at the intersection of consumer protection, data privacy, and AI governance. The FTC's interest in this area reflects the broader regulatory momentum: AI-enabled commercial practices are drawing scrutiny not only from technology regulators but from consumer protection authorities. Marketing agencies and pricing consultancies in particular should be tracking how this policy statement develops, as it could shape what AI-driven pricing strategies are considered permissible in the US market.

What Professional Services Firms Should Be Doing Now

The Canada consultation report and the FTC pricing inquiry are separate developments, but they point in the same direction. Regulators are becoming more specific about what responsible AI use looks like, and the expectations are rising.

For accountants, solicitors, HR consultancies, and marketing agencies, the practical questions are straightforward even if the answers require work.

Do you know which AI tools your firm currently uses and in what contexts? Can you explain to a client, in plain language, how those tools affect the advice or services they receive? Do you have processes for identifying and correcting errors produced by AI systems? If a client or regulator asked for an account of your AI use tomorrow, could you provide one that would hold up to scrutiny?

These are not hypothetical questions. The direction of travel across multiple jurisdictions — Canada, the EU, the UK, the US — is clearly towards greater accountability for AI use in professional contexts. Firms that build their governance infrastructure now will be better positioned than those that wait for mandatory requirements to arrive.

The 'What We Heard Report' is also a reminder that regulation is not built in isolation. Governments are consulting, listening, and iterating. Businesses that engage with these processes — and that take disclosure and accountability seriously as operational priorities rather than compliance afterthoughts — will shape better outcomes for themselves and their clients.

How Ops Intel Can Help

Ops Intel works with professional services firms globally to build AI compliance frameworks that are practical, proportionate, and designed to hold up as regulatory requirements evolve. Whether you are assessing your current AI use, preparing for client disclosure obligations, or mapping your exposure across multiple jurisdictions, we can help you move from uncertainty to clarity.

Visit https://www.opsintel.io to find out how we work with firms like yours.