AI Compliance 2025: What UK Professional Services Need to Know About US and Canadian Regulation

If your firm works with clients in North America, processes data from US or Canadian residents, or uses AI tools built by American or Canadian developers, the regulatory shifts happening across the Atlantic are not someone else's problem. They are yours.

The United States and Canada are both accelerating their AI governance frameworks, and the ripple effects will be felt by professional services businesses worldwide — including accountants, solicitors, HR consultancies, and marketing agencies operating internationally. Here is what you need to understand, and what you need to do about it.

The US Federal Picture: Enforcement Is Already Here

While Washington continues to debate the shape of long-term AI legislation, the Federal Trade Commission is not waiting. Its Operation AI Comply, launched in September 2024, sends a clear message: making exaggerated or unsubstantiated claims about what your AI tools can do is a regulatory risk, not a marketing choice.

The FTC has pursued enforcement actions against companies promising outsized financial returns through AI products, and against services misrepresenting the nature of their AI capabilities — including the high-profile case against DoNotPay, which falsely marketed itself as an "AI lawyer." For professional services firms that are integrating AI into client-facing work — whether that is automated legal research, AI-assisted accounting, or algorithmic HR screening — the implication is direct: you must be accurate about what your AI actually does.

This extends to data. The FTC has made clear that businesses must obtain affirmative consent before making retroactive changes to privacy policies, particularly where those changes enable consumer data to be used for AI training. If your firm uses a US-based AI platform, you need to understand whose data is feeding that system, under what terms, and whether your clients have been properly informed.

The State-Level Surge: A Patchwork You Cannot Ignore

One of the defining features of the US AI landscape is the scale of activity at state level. Forty-five states introduced AI-related bills in 2024. All fifty did so in 2025. The Trump administration has signalled an interest in creating a unified federal framework that would potentially preempt state law, but that outcome is not guaranteed, and in the meantime, the patchwork continues to grow.

Two states deserve particular attention. Colorado enacted comprehensive AI legislation in May 2024, targeting high-risk AI systems and placing obligations on developers and deployers to take reasonable care to prevent algorithmic discrimination. Impact assessments and disclosures are required. California, meanwhile, passed the AI Transparency Act in September 2024, requiring disclosure mechanisms and detection tools for AI-generated content, with further Automated Decision-Making Technology Regulations approved in September 2025.

For a UK-based marketing agency producing AI-generated content for US clients, or an HR consultancy using algorithmic screening tools with a US workforce, these are live obligations — not future considerations.

Canada: Binding Rules Now, Stronger Ones Coming

Canada's situation requires a two-track approach: understanding what is already enforceable, and preparing for what is coming.

The Artificial Intelligence and Data Act (AIDA), introduced as part of Bill C-27, was anticipated to pass in 2024 but was delayed by the prorogation of Parliament in January 2025. It will be reintroduced. When enacted, AIDA will regulate high-impact AI systems involved in interprovincial and international trade, establish an AI and Data Commissioner, and introduce substantial fines for non-compliance. Firms operating in Canada or with Canadian counterparts should be building compliance frameworks now, not scrambling when royal assent arrives.

In the interim, the Personal Information Protection and Electronic Documents Act — PIPEDA — is the primary binding framework, and it applies to AI. The Office of the Privacy Commissioner has issued clear guidance: organisations must obtain meaningful consent, be transparent about how AI contributes to automated decision-making, apply purpose limitation to personal data used in AI systems, and implement robust safeguards. Express consent is required for sensitive data categories, including health information.

If your firm processes Canadian client data through AI tools — and many professional services firms do — PIPEDA compliance is not optional. It is a current legal obligation.

The Litigation Wave: IP Risk Is Global

Beyond regulation, AI-related litigation in both the US and Canada has surged dramatically. Copyright infringement claims against AI developers doubled in the US in 2025 alone. Cases such as Andersen v. Stability AI are working their way through the courts, with outcomes that could reshape how AI training data is governed and what liability attaches to organisations using AI-generated outputs.

For professional services firms, this creates a specific risk: if you are using AI tools to generate content, conduct research, or produce client-facing work, you need to understand whether the underlying model has potential IP exposure. That risk does not sit solely with the developer. Downstream users may face scrutiny too, particularly as case law develops.

What This Means If You Work Internationally

The combined picture across the US and Canada — active FTC enforcement, a proliferation of state laws, an imminent federal AI act in Canada, and an accelerating litigation environment — has clear implications for any professional services firm operating internationally.

You need to know which AI tools your business uses and what those tools do with personal data. You need to be honest in how you describe AI's role to clients, both in marketing materials and in engagement letters. You need impact assessments for high-risk applications. You need consent frameworks that hold up under multiple jurisdictions simultaneously. And you need someone tracking this landscape on your behalf, because it is changing rapidly and the cost of being behind is rising.

The firms that will navigate this well are those treating AI compliance as an ongoing operational discipline, not a one-time project.

How Ops Intel Can Help

At Ops Intel, we work with professional services businesses to build AI compliance programmes that are practical, jurisdiction-aware, and built to scale as regulation evolves. Whether you need a gap analysis against current obligations, support developing client disclosure frameworks, or ongoing monitoring of regulatory developments across North America, the UK, and beyond, we can help you stay ahead rather than catch up.

Get in touch with our team to discuss where your firm stands and what a compliance programme built for your specific risk profile would look like.