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McKinsey’s 2026 State of AI survey, published August 25th and covering 1,719 business leaders, found that 89% of organizations now use AI regularly and 44% are scaling it across the enterprise, up from 38% a year ago. The share reporting…
Every readiness diagnostic should produce a 90-day roadmap. Month 1 unblocks the critical gap. Month 2 builds adjacent capabilities. Month 3 prepares for the next lifecycle stage. The structure is simple. The discipline is what matters.
AI deployment is near-universal. AI measurement is not. Organizations run AI systems without baselines, without operational KPIs, and without feedback loops. The result; investment decisions are based on faith. Faith has a limited budget cycle.
Celonis CEO Alex Rinke said it plainly; "There's no AI without PI." The organizations getting value from AI agents all started the same way; by understanding their processes before automating them.
The highest-performing AI programs do not try to do everything at once. They follow a 90-day sequencing model; discover, redesign, then scale. This playbook breaks down each phase with specific actions.
The two largest AI labs invested $5.5 billion in a single month on the same thesis; implementation expertise is now more valuable than model access. Here is why that matters and what teams should do about it.
