Executive Intelligence for AI Transformation
PLAnalysis, essays and intelligence for leaders scaling AI in organizations.
For the past two years, companies treated artificial intelligence like the perfect intern: fast, cheap, and seemingly free of accountability. As of August, that intern gets a signature on the decision — and accountability falls on the board.
Editor's Briefing
This week in AI transformation: regulation pressure, board accountability, hidden AI costs and the rise of internal AI operating models.
AI Strategy · Lead AnalysisFour parallel revolutions: LLM-powered market research, CX metric reduction, optimization for generative search (GEO), and the choice of a beachhead market.
Four parallel revolutions: LLM-powered market research, CX metric reduction, optimization for generative search (GEO), and the choice of a beachhead market.
The most common failure in AI transformation does not start in the model, tool, or budget. It starts when the organization changes work faster than people, managers, processes, and decision rhythms can absorb. At that…
One-time AI training can build awareness, reduce anxiety, and showcase early use cases. It does not change work by itself. After the workshop, people return to inboxes, KPI pressure, legacy quality standards, and mana…
AI is often framed as a shortcut through digital transformation. In that narrative, organizations no longer need to fix process inconsistency, data fragmentation, integration debt, or accountability gaps—because intel…
Before investing in AI, a company should do less flashy but often more valuable work: verify whether its digital environment is fit for AI to operate in real processes. This is not about launching a months-long audit…
The biggest AI risk in organizations is not always model error. It is often an accountability error: a situation where a system influences a business decision, yet nobody can clearly say who approved the risk, who own…
The EU AI Act is not a topic only for legal teams. For boards, it is a test of whether the company can manage AI as a system of decisions, risk, and accountability, rather than as a set of fragmented technology experi…
In many companies, governance enters AI conversations as a synonym for delay: committees, forms, and caution. That diagnosis is wrong. Well-designed AI governance does not slow innovation; it removes decision uncertai…
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