AI Won’t Replace SR&ED Consultants. It will make the good ones better.
There's a complaint I hear from technical teams constantly: "We've been through three SR&ED consultants in five years. Every time, we spend the first two months just getting them up to speed."
That frustration is real and it points to something important about where AI is actually changing professional services.
The onboarding problem, solved
When I engage a new client, I now come to the first meeting having already reviewed their Jira history, GitHub activity, prior T661 filings, and any available technical documentation. AI tools let me build a complete picture of what a team has been working on before anyone sits down in a room together.
That changes the dynamic entirely. Instead of asking a developer "walk me through what you worked on last year" — a question that puts the burden on them and yields vague, exhausting answers — I arrive with a working hypothesis. I can share a high-level summary in advance, then ask very targeted questions in the technical interview. Developers find this dramatically easier. The interviews are shorter, sharper, and yield better technical evidence.
Better inputs, better outputs
The further downstream benefits compound from there. When I process interview notes in combination with technical documentation using AI, I can produce a first draft of the project descriptions far more quickly than before. More importantly, before anything goes to a client for review, I can run a simulated CRA audit of the draft to surface weak spots in the eligibility narrative, gaps in the uncertainty framing, or areas where the technological advancement argument needs reinforcement.
That last step is something most consultants skip, not because they don't care, but because it's time-consuming and mentally taxing to scrutinize your own work that rigorously. AI makes it tractable.
Efficiency that flows to the client
The efficiency gains aren't primarily about me. The time I save processing documentation and grinding through drafts is time I can redirect toward the strategic work: understanding where a claim is genuinely strong, where it's exposed, how to position an uncertainty argument that will hold up under review, and how to advise clients on maximizing eligible work in the years ahead.
That's the value that an experienced consultant brings.
What AI can't do
SR&ED project descriptions aren't just words on a page. They must be structured precisely to satisfy the Income Tax Act's definition of SR&ED, anticipate the questions a CRA reviewer will ask, and withstand scrutiny at the audit stage. The language choices matter. The framing of uncertainty matters. The distinction between routine engineering and genuine experimental development matters, and that line isn't always obvious.
AI tools don't know what good looks like. They don't have a mental model of what makes a claim defensible. They don't know how a particular auditor approaches a software claim, or what the current state of technical uncertainty standards looks like in practice.
A senior SR&ED professional does. And when that expertise is combined with AI-assisted efficiency, the result is a better claim, a better client experience, and a process that doesn't burn out the developers who have to participate in it.
A broader point
This dynamic isn't unique to SR&ED. It applies to any professional services engagement where the value has always come from judgment, not just production.
Think about tax advisory, legal work, management consulting, financial due diligence. In each of these fields, a significant portion of billable time has historically gone toward activities that AI can now accelerate: gathering and synthesizing information, producing first drafts, reviewing outputs for consistency and gaps. The professionals who embrace these tools will be able to do more of the work that actually matters, faster, and with fewer resources wasted on mechanical effort.
The ones who resist, or who assume the tools will do the thinking for them, will find themselves squeezed from both ends. Their output won't improve. Their efficiency won't improve. And clients will eventually notice.
The real opportunity isn't AI replacing professionals. It's professionals who use AI well outcompeting those who don't. In knowledge-intensive fields, the gap between those two groups is going to widen considerably in the next few years.
Curious about what AI-assisted SR&ED consulting looks like for your team? Reach out. Better preparation, sharper interviews, and stronger claims before CRA sees them. That's what working with Elevyn looks like in practice.
