AI AI AI AI AI

There’s a PwC ad running right now where everyone’s just saying “AI, AI, AI” — arms waving, buzzwords flying. It was genuinely funny — and it landed exactly the right message. Kudos to whoever directed it.

But beneath the laugh, it nails something real.

Many organizations are at this stage: strategic discussions about integration, frameworks, tool selection — and underneath all of it, “how do we make sense of the revolution unfolding in front of us?”

Every conversation these days, someone’s excited about the next Agentic framework, the next copilot, the next thing that will transform everything. The enthusiasm is real. The question nobody’s asking is also real: Is your data actually ready for any of this?

Agentic AI is only as effective as the data it reasons over. Before the tool-selection conversation, there’s a prior question: is the data actually clean, mapped, and understood?

Not theoretically ready. Not “we have a data warehouse” ready. Ready as in: does anyone actually know which process produces which data, at what frequency, consumed by whom, and with what expectations attached?

Because an AI agent is only as good as what it can reason over. And the honest answer in most organisations is: that map doesn’t fully exist yet. The technology moved faster than the documentation.

The AI won’t fix that on its own. But it’s a great forcing function to finally ask the question.

Now, that’s the real conversation, the rest is AIAIAIAIAI”