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AI Readiness
The Coaching Crisis: Why Your AI Strategy Depends on People Who Can Teach, Not Just Do
Your AI strategy might look impressive on paper, but there's a hidden problem that could undermine everything: only 13% of the workforce has the skills to teach others how to work with data. While organizations rush to deploy AI tools and approve budgets, they're missing a crucial element—the human coaches who can validate AI outputs, spot flaws before they scale, and build team-wide trust in data-driven decisions.
3 min read
AI Readiness is Not a Technical Ambition. It is a Human One.
True AI readiness is not about tools. It's about trust, transparency, and translation.
1 min read
The Coaching Gap
Before we scale AI, we must scale understanding. Our latest Global Data Literacy Benchmark research identifies a critical challenge...
1 min read
The AI-Readiness Reality Check
AI-readiness depends as much on human competencies as on technical infrastructure.
1 min read
AI Readiness Means Oversight, Not Just Insight
AI is not coming. It is already here. Despite AI now becoming part of everyday work, most teams aren't ready to question or override its outputs. True AI readiness means human oversight - people who can challenge, validate, and explain what the machine delivers. Without it, automation becomes risk. The future belongs to those who can guide the machine, not just follow it.
4 min read
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