Elkhorn, Nebraska, March 05, 2026 — At a CEO advisory summit in Elkhorn, Nebraska, 93% of executives had no AI pilots in production and 80% had no one accountable for AI outcomes. Here's what the data — and the room — revealed.

Pensacola, Florida, February 20, 2026 — Pensacola leaders are optimistic about AI, but the survey shows a quieter problem underneath: enthusiasm is moving faster than operating readiness. Across sectors, the organizations creating value are the ones that assign ownership, define KPIs, clean up data, and move pilots into real workflows.

Pensacola, Florida, February 19, 2026 — A small Pensacola workshop sample shows strong interest in AI and high confidence about the future, but the operating basics are still immature. Ownership is inconsistent, governance is weak, and KPI discipline is absent. Industry data shows why those gaps matter.

Houston, Texas, February 18, 2026 — A Houston executive workshop revealed a familiar pattern: leaders want growth from AI, but too many teams still lack clear ownership, usable data, and production discipline. Here is what the survey shows, what five sectors are doing now, and what leaders should change next.

Houston, Texas, February 17, 2026 — A Houston executive workshop revealed a familiar pattern: leaders want growth from AI, but too many teams still lack clear ownership, usable data, and production discipline. Here is what the survey shows, what five sectors are doing now, and what leaders should change next.

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, Canada, February 10, 2026 — A small Vancouver workshop dataset (n=12) reveals a familiar pattern: leaders want cost reduction and growth, but skills, ownership, and governance gaps stall AI from reaching production.

Drexel Hill, Pennsylvania, February 05, 2026 — A practical read on what leaders are trying to get from AI, what’s slowing progress, and how five sectors are scaling (or stalling) right now.

Collegeville, Pennsylvania, February 04, 2026 — A small-sample workshop survey shows a familiar pattern: leaders want growth from AI, but ownership, measurement, and governance are still missing. Here’s what the data says, plus what five sectors are doing right now.

Oklahoma City, Oklahoma, January 23, 2026 — Oklahoma City leaders rated this AI session a perfect 5/5, with feedback focused on practical implementation, not theory. A readiness survey shows the real blockers: unclear ownership, inconsistent guardrails, missing KPIs, and a skills gap that keeps teams stuck in pilots. This post shares a simple 30-day framework to turn customer insights into automation that improves customer experience and engagement without chaos.

Oklahoma City, Oklahoma, January 22, 2026 — Oklahoma City leaders shared what’s working and what isn’t in AI adoption: ownership, guardrails, KPIs, and micro-sessions. Build capability with GPS Summit.

Oklahoma City, Oklahoma, January 21, 2026 — Oklahoma City leaders rated this AI workshop 4.9 across content, delivery, and applicability because it made AI concrete and usable. Survey results revealed the real blockers: unclear ownership, inconsistent guardrails, limited KPIs, and a major skills gap. This post shares a practical 30-day framework to move from tools to repeatable capability and measurable ROI.

Birmingham, Alabama, January 14, 2026 — AI is only a competitive advantage when it moves from "interesting" to "operational." If it stays as a handful of experiments, a few clever prompts, or a side project owned by no one, it becomes noise. If it becomes a capability with ownership, guardrails, and measurable outcomes, it becomes leverage that improves customer experience, strengthens customer engagement, and accelerates strategic growth.

Birmingham, Alabama, January 13, 2026 — Birmingham leaders rated this AI workshop 5/5 across content, delivery, and applicability, with 100% recommending it. The core takeaway: AI is a capability you build. This post shares a practical 30-day AI Strategy sprint that turns Customer Insights into action, improves Customer Experience, strengthens Customer Engagement, and creates Competitive Advantage through guardrails and repeatable systems.

Ontario, Canada, December 17, 2025 — AI is not a tool problem, it’s a leadership and capability problem. In Ontario, 37 leaders surfaced the real blockers: unclear ownership, scattered data, weak guardrails, missing KPIs, and pilots that never reach production. Here’s a practical 30-day framework to move from experiments to measurable customer experience and growth gains.

Lake Oswego, Oregon, December 11, 2025 — Executives don’t need more AI hype. They need a path. From a GPS Summit workshop, 5 blockers surfaced: unclear ownership, siloed data, weak guardrails, slow execution, and no AI KPIs. Here’s a simple 30-day pilot framework to turn customer insights into measurable results without breaking trust, quality, or culture.

Portland, Oregon, December 10, 2025 — Portland leaders were clear: the best AI strategy is the one that makes work easier, not busier. From 13 responses, the biggest gaps were unclear ownership, siloed data, weak guardrails, and missing KPIs. Here’s a practical 30-day pilot framework to turn customer insights into measurable outcomes while protecting trust and customer experience.

Tualatin, Oregon, December 9, 2025 — CEOs want AI that makes leadership easier, not busier. From a Tualatin session, nine leaders surfaced the real blockers: unclear ownership, slow decision cycles, “almost ready” data, weak guardrails, and missing KPIs. Here’s a practical 7-day-to-30-day plan to run a safe pilot that ends in a decision and improves customer experience.