SR&ED and AI: Could Your Experimentation Work Be Partly Funded?

This is general information, not tax or legal advice. SR&ED is a Canada Revenue Agency (CRA) program with detailed, changing eligibility rules. Whether any specific work qualifies — and at what rate — depends on your situation. Always confirm with the CRA or a qualified SR&ED specialist before relying on anything here.

If you're a Canadian company genuinely experimenting with AI — testing whether a model can handle your data, trying approaches that might not work, hitting and resolving technical unknowns — there's a reasonable chance some of that work falls into the same category that SR&ED was built to support. And there's an even better chance you're not capturing it in a way that would survive a review.

This post is about closing that gap. It is not a how-to-file guide, and it is not advice on whether you qualify — only the CRA or a specialist can tell you that.

What SR&ED is, briefly

SR&ED (Scientific Research and Experimental Development) is Canada's federal tax incentive for work that systematically tries to resolve technological uncertainty — situations where the outcome isn't knowable in advance from standard practice, and you have to investigate. Qualifying work can translate into a tax credit; the exact rate and whether it's refundable vary by company type and province and change over time, so treat any specific number you read online — including anywhere else — as something to verify with the CRA, not as a fact.

The mental model that matters: SR&ED is about the experiment, not the product. Building a feature isn't automatically eligible. Systematically resolving a genuine technical unknown — and documenting that you did — is the part that may count.

Where AI adoption quietly overlaps

A lot of real AI adoption work involves exactly the kind of uncertainty SR&ED cares about. For example, you may not know in advance whether:

• a model can reach acceptable accuracy on your messy, domain-specific data;
• a retrieval approach will hold up against your document formats;
• a workflow can be automated to a usable error rate, or whether human review is unavoidable.

Working through those questions — forming a hypothesis, testing, measuring, iterating — is the shape of experimental development. Whether it qualifies is a judgment call for a specialist, but the work is often closer to eligible than teams assume.

The real reason claims fail: documentation, not eligibility

Here's the pattern specialists see constantly. The eligible work happened — but it was never written down as it happened. Nobody recorded what was uncertain, what was tried, what failed, or what was learned. A year later, at claim time, the team is reconstructing it from memory and commit logs, and the claim is weaker than it should be — or not worth filing.

SR&ED rewards contemporaneous records: notes made while you experiment, not a story assembled afterward. The single highest-leverage thing most teams could do is simply capture their AI experimentation as they go — what was unknown, what they tried, what the result was.

Where ReadyIQ fits (and where it doesn't)

We are an AI-readiness and implementation partner, not a SR&ED filing service and not your tax advisor. What an engagement with us produces — a baseline, a record of which approaches were tried, what was uncertain, and what the measured outcome was — happens to be exactly the kind of contemporaneous documentation a SR&ED specialist needs as raw material. That's a useful byproduct of doing the AI work well, not a tax service we provide.

In other words: do the experimentation properly and document it as you go, and you're in a far better position if you later decide to explore a claim with a specialist. Our AI Readiness Assessment maps your experimentation candidates and the baseline each one needs, and our cost calculator helps you frame the investment — all of which doubles as a clean paper trail.

The honest counterpoint: don't contort a project to chase a credit

A few important cautions:

• Routine use isn't experimentation. Deploying an off-the-shelf tool with no real technical uncertainty typically does not qualify, no matter how new it feels.
• Don't reshape a project to fit the program. Build what your business actually needs; let eligibility follow the work, not the other way around.
• Talk to a specialist early. Eligibility, rates, and filing mechanics are genuinely complex and they change. A short conversation with a SR&ED advisor or the CRA up front beats a guess.

The opportunity here isn't free money — it's that some of the AI work you're doing anyway might be partly offset, and that capturing it well costs almost nothing extra if you build the habit now. Done right, good documentation is just a side effect of doing the experimentation seriously.

Start by doing the AI work with a baseline and a record. Then bring that record to a qualified SR&ED specialist and let them tell you what, if anything, qualifies.

Reminder: nothing above is tax or legal advice. Verify eligibility and current rates with the CRA or a qualified SR&ED professional.