Automated SR&ED Filing for Tech Teams: What Works and What Still Needs a Human
How tech teams use automated SR&ED tools to capture R&D evidence from Git and Jira — and where human review still matters.

Engineering teams generate SR&ED evidence every day — in Git commits, pull requests, design docs, and sprint retros. The challenge has never been a lack of data; it is turning that data into a CRA-compliant T661 narrative. That is where automated SR&ED tools enter the picture.
What Automation Actually Does
Modern SR&ED platforms connect to your existing workflow — GitHub, Jira, Linear — and extract technical activity that may qualify as R&D. They identify patterns of experimentation, failed approaches, and iterative development that manual consultants would spend weeks reconstructing from interviews.
- Pull request and commit analysis for systematic investigation evidence
- Ticket linking to map work to SR&ED projects
- Draft technical narratives for T661 line 246
- Time allocation suggestions based on activity patterns
What Still Requires Human Judgment
CRA's SR&ED tests are qualitative. A tool can flag that your team iterated on a caching layer twelve times, but a human must determine whether that iteration reflects technological uncertainty or routine performance tuning. Automated drafts need expert review before filing — especially for AI/ML projects where eligibility boundaries are nuanced.
Generic AI writing tools are particularly risky: they produce fluent prose that may not match your actual records, and they take no liability for the outcome. Purpose-built SR&ED tools that ground narratives in your source data are fundamentally different.
The CTO's Workflow Integration Playbook
- Tag SR&ED-eligible projects in your issue tracker from day one
- Write meaningful commit messages that describe the problem being solved
- Document failed experiments in PR descriptions or design docs
- Run an eligibility check mid-year, not at fiscal year-end
- Use a T661 checklist to track documentation gaps before filing
Getting Started
If your team ships software regularly and hits technical problems that are not solved by Stack Overflow, you likely have SR&ED-eligible work. Start with our free eligibility quiz to get a baseline score, then explore how AI-assisted documentation can reduce the burden on your engineers without slowing delivery.