Vancouver, Canada, February 12, 2026 (PM) — Vancouver leaders want cost reduction, growth, and better CX from AI, but most cite skills and data quality as blockers. Governance remains the weak link.

Vancouver, Canada, February 12, 2026 (AM) — Leaders want cost reduction, growth, and better CX from AI, but most lack a single accountable owner, KPIs, and safe-use rules. Here’s the fix.

Vancouver, Canada, February 11, 2026 — A Vancouver workshop survey reveals a consistent pattern: leaders want growth from AI, but most lack clear ownership, governance, and production discipline. Here’s what to do next.

Vancouver, Oregon, September 19, 2025 — A Vancouver, Oregon workshop made AI feel practical again. Leaders surfaced the real blockers: unclear ownership, siloed data, weak governance, and missing KPIs. Here are the takeaways to launch one measurable pilot, improve customer experience, and build internal capability through GPS Summit.

Vancouver, Oregon, September 18, 2025 — A Vancouver, Oregon workshop showed what it takes to move from AI experimentation to execution: clear ownership, better data readiness, basic governance, and measurable KPIs. Here are the takeaways leaders can apply in the next 30 days, plus how GPS Summit develops an internal AI Systems Generalist in three days.

Vancouver, Oregon, September 17, 2025 — A Vancouver, Oregon workshop surfaced the real reason AI fails: lack of alignment. Leaders want customer experience gains, but most lack ownership, structured data, governance, and KPIs. Here are the practical steps to turn AI from “just another tool” into measurable customer experience improvement, plus how GPS Summit builds an internal AI Systems Generalist.

Vancouver, Oregon, September 15, 2025 — Vancouver, WA and Vancouver, OR showed the same pattern: leaders are energized, but readiness is uneven. Most lack clear KPIs, ownership, and usable data. This recap includes a practical 30-day AI pilot blueprint (one persona, one moment, one KPI) plus cross-functional use cases and how GPS Summit builds internal AI Systems Generalists.