The enterprise AI honeymoon is over. Across Metro Vancouver's mid-market—the $10-million-to-$250-million-revenue companies that form the backbone of BC's tech economy—the first wave of AI software contracts signed in 2024 and early 2025 are coming due. What is emerging from those renewal conversations is a split verdict: genuine adopters are doubling down, and others are quietly cancelling.

The pattern tracks a global benchmark that BC vendors are watching closely. Gartner has estimated that roughly 30 per cent of generative AI pilots fail to reach production—a figure that, localized to BC's mid-market, translates into a churn wave hitting vendor pipelines.

The differentiator is integration depth. Companies that bolted AI onto existing workflows as a novelty—a chatbot here, a summarization tool there—are discovering that the productivity gains are difficult to defend to a CFO at renewal time. Conversely, companies that restructured workflows around AI capabilities from the start are reporting measurable output gains and renewing at higher contract tiers.

The BC Tech Association has tracked enterprise software adoption patterns, and the divergence is clear in survey data. The association's annual sector surveys point to integration depth—not the sophistication of the tool itself—as the primary predictor of renewal intent among mid-market buyers.

For BC's SaaS vendors, the implications are immediate. A company selling into the mid-market on a 12-month contract signed in Q1 2025 is fielding renewal conversations, and the pipeline signals are mixed. Vendors that sold broad-platform access without structured implementation support are seeing churn. Those that paired software with onboarding programs, workflow redesign support, and measurable milestone check-ins are reporting expansion revenue—upsells to higher tiers or additional seats—from the same cohort.

The CFO lens is critical. Finance leaders are applying a harder ROI standard to AI renewals than they did at initial purchase, when the pressure to adopt was at its peak. IDC research on enterprise AI adoption has documented this shift: the tolerance for speculative AI spend has compressed as boards demand that technology investments show up in productivity metrics, not just capability demos.

BC's consultancies are adapting. Firms that positioned themselves as AI implementation partners are finding that the renewal cycle is generating a second wave of advisory revenue. When a mid-market client churns from a vendor, they often need help diagnosing why the pilot failed and what a better implementation would look like. That diagnostic work is billable, and several Vancouver-based technology consultancies are building practices around this shift in the adoption curve.

Venture data adds context. Canadian Venture Capital Association quarterly data for 2025–2026 shows continued investor appetite for BC-based AI companies, but the emphasis has shifted toward vendors with demonstrable retention metrics. Net revenue retention has become the primary due-diligence signal for investors evaluating AI SaaS companies.

The practical playbook for mid-market firms is clear. Companies that can document workflow-level productivity changes—reduced time-to-close in sales, faster contract review in legal, lower error rates in finance—are in a strong negotiating position. Companies that adopted AI at the tool level without changing how work gets done are in a difficult spot: they cannot justify the spend, and they lack the internal capability to implement a replacement effectively.

For BC's AI vendors and their investors, the renewal cycle arriving this summer is the most honest market signal they have received. Pilots are easy to sell; renewals are earned. The bifurcation playing out across Metro Vancouver's mid-market will define which AI companies have built real businesses—and which ones sold the dream without delivering the infrastructure to make it real.