Most BC universities and colleges are somewhere between a handful of pilots and a formal strategy. Faculty are experimenting on their own, admin teams are under pressure to modernize, and governance is moving at academic calendar speed. The differentiator is moving forward with a clear plan.
AI is landing first where the workload is heaviest and the stakes are lowest, across admissions, advising, and registrar operations. Institutions are proving the value while wrestling with the impacts on teaching, assessment, and research.
Admissions triage, advising follow-up, registrar communications, financial aid responses. The volume is high, the wins are measurable, and the risk is low. This is where most institutions build their first track record before moving into harder territory.
Faculty need more than a workshop. Staff need more than a policy document. The institutions making progress are running department-level sessions built around real workflows, not generic overviews, so the learning connects to the work people already do.
Detection tools are failing. Institutions that are moving forward have stopped trying to catch AI use and started designing assessments that account for it, shifting toward discipline-specific guidance that faculty and students can actually act on.
Literature review, grant drafting, ethics application writing. Research offices with high submission volume are finding real time savings here. The challenge is building a consistent approach across labs and departments rather than leaving each team to figure it out alone.
The right first project depends on where your institution is in its AI maturity. These are the engagements that tend to build the most durable momentum across the sector.
A short, usable policy document that covers what tools are permitted, how student data is handled, and what faculty and staff can act on without escalating every decision. Language that holds up at senate and does not require a lawyer to interpret.
Department-level sessions built around real teaching and operational workflows. Not a generic overview. The goal is making sure curious people are not isolated and skeptical people are not ignored, so the institution moves forward together.
A structured look across your institution at what is worth doing, what is not, and in what order. Scored by effort and value so the conversation at the executive table is grounded in something real, not enthusiasm or vendor claims.
Pick one workflow and redesign it with AI assistance built in from the start. Measure response time and consistency before expanding. A documented result at one office travels further than a promise about what AI could do institution-wide.
We help BC post-secondary institutions identify the right entry point, build faculty and staff capacity, and redesign the admin and research workflows where AI reduces hours and improves consistency.
