By the third vendor demo of the week, every pitch promised to transform the customer experience, and nobody had said what the customer actually needs. Customer Obsession is AI's real sweet spot, but only if you work outside-in. A leader's lens for evaluating AI customer initiatives, focused on creating AI value for customers.
Every AI initiative eventually meets the finance committee. The cost-savings story works fine in an operations review, but the room one floor up wants to know which lever this pulls - earnings, capital efficiency, or the multiple. Here's the translation, lever by lever.
Every AI initiative has to answer one question: what's the value, and for whom? The honest answer involves three stakeholders - shareholders, employees, customers - with sometimes-competing needs. A framework for mid-market leaders justifying AI investments in real meetings, with real budgets, to real CFOs.
Most AI readiness assessments measure technology. The AI Readiness Assessment measures your organization - across Five Building Blocks, with honest self-evaluation and real benchmarks.
Product Development is the only team that can answer the question "what should AI do for our customers?" That conversation - from widgets to intelligence - is where new revenue lives.
The same mistake companies made with digital transformation - treating it as IT's problem - is happening again with AI. But every department already runs on information and technology. AI readiness is an organizational capability, not a technology initiative.
IT, Marketing, and Operations can all claim ownership of your AI strategy. Committees claim nothing. The right owner is defined by what they can see, connect, and serve.
Most AI innovation programs produce demos, not results. The environment that actually ships sits between the sandbox and the cowboy - and it requires judgment, not just enthusiasm.
Most teams respond to AI with tactics - a demo here, a pilot there. Strategic thinking is a skill that can be taught, starting with three deceptively simple questions.
Experience replaces feelings with competence. That's its job - but it costs you the emotional memory your team needs you to have right now about AI.