Why pilots die
No eval harness, no governance, no integration target, no monitoring, no clear owner. We diagnose the gap on day one and build the missing pieces in parallel with the next sprint of features.
Most Canadian AI projects look great in a notebook and fall apart in production. CFRI is built for the second half of that journey: evaluation harnesses, governance, monitoring, integration, and the unglamorous engineering that turns a working prototype into a system the business actually depends on.
No eval harness, no governance, no integration target, no monitoring, no clear owner. We diagnose the gap on day one and build the missing pieces in parallel with the next sprint of features.
Versioned prompts and models, deterministic eval suite, drift and quality monitoring, human-in-the-loop where it matters, observable cost and latency, documented runbooks, and a real on-call.
The AI system slots into existing identity, audit, and data infrastructure — not a parallel skunkworks. That is what gets it through risk, security, and procurement review.
Six to twelve weeks for most well-scoped Canadian engagements, longer if AIA, ProtectedB review, or regulator engagement is in scope.
Whichever ships faster against the business outcome. Often we keep the working core and rebuild only the parts blocking production.
Yes — embedded delivery is the default. We hand the system back fully owned by your team.
We are stack-pragmatic: OpenAI / Anthropic / Gemini / open-weight models on AWS, Azure, GCP, or sovereign Canadian clouds. We pick based on data residency and cost.
Yes — see /rag-implementation-canada and /ai-agent-development-canada for the focused engagements.
Email info@cfri.io with the pilot scope and where it is stuck.
Thirty minutes with operators who have already shipped what you're trying to figure out. CAD-billed. SR&ED-aware.