"We're under immense pressure to adopt AI. We're buying tools, licensing copilots and training teams on prompt engineering. But in our rush to modernize, we are often taking our existing, convoluted, approval-heavy, siloed workflows - think of them as our corporate cow paths - and simply adding AI to them. The result is bad processes happening quickly. If you apply AI to a workflow riddled with friction, you get chaos faster than efficiency."
"In my work helping organizations transition to become AI-native enterprises, I see plenty of what I've dubbed random acts of AI. This happens when teams adopt tools in isolation. A copywriter uses ChatGPT to draft emails. A designer uses Midjourney for mockups. A data analyst uses a plugin to clean spreadsheets. On the surface, this looks like progress. But if you look closely at the way work flows through the system, nothing much has actually changed."
Marketing organizations are rapidly adopting AI tools but frequently overlay those tools onto existing convoluted, approval-heavy, siloed workflows. Adding AI to inefficient processes accelerates poor outcomes, producing faster chaos rather than true efficiency gains. Isolated tool adoption, described as random acts of AI, optimizes individual tasks while leaving handoffs, approvals, and bottlenecks unchanged. Common patterns include copywriters using ChatGPT, designers using Midjourney, and analysts using plugins, while manual emails, delayed approvals, and compliance loops persist. Effective AI transformation requires auditing and redesigning end-to-end workflows before licensing more tools to avoid scaling broken processes.
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