workflow-audit-article
Most teams avoid the unglamorous workflow audit, but tracing what people actually do—step by step—before adding AI is the only way to build workflows that survive real‑world exceptions.
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digital transformation
ai-operating-model-article
Most teams get stuck in AI pilot mode; this piece shows how to design an AI operating model that turns one‑off wins into reliable, everyday work.
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AI STRATEGY · ESSAY 02
Most AI conversations start with “which tool?”, but the real leverage comes from mapping one critical workflow first so you cut tool sprawl and make better product decisions.
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What most teams get wrong about AI adoption
Many teams approach AI adoption as a tooling upgrade rather than a systems redesign. This article breaks down the most common mistakes—from fragmented workflows to lack of governance—and explains how organisations can move from ad hoc experimentation to structured, scalable AI enablement.
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The Week AI Left the Lab
AI stopped being a lab experiment this week and started to look like infrastructure, as OpenAI, Anthropic, Google, xAI and Palo Alto all raced to embed agents inside real organisations.
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