Great leaders are not defined by instinct alone – they are defined by the quality of their decisions. And the quality of their decisions is only as strong as the information behind them.

That places a profound responsibility on those of us in documentation. We are not support functions – we are stewards of clarity, accuracy, and truth. We are the ones who transform complexity into understanding, and understanding into action.

AI does not change that responsibility – it amplifies it.

If we step back and allow others to define our role in this moment, we risk being reduced to a misunderstood function, shaped by assumptions rather than expertise. But if we step forward, we have the opportunity to redefine our discipline on our own terms – grounded in the years, and often decades, of experience we bring.

This is not about adopting AI. It is about owning it.

Every day, we should be asking: What are the business outcomes that matter most? And how do we become the most credible, trusted source of insight to achieve them?

Because if we do not answer that question, someone else will – and they will not do it with the same depth, rigor, or accountability. And the cost of that gap is not just ours – it is the business’s.

We cannot afford to be reactive. We must lead.

AI is not something happening to us. It is something we make happen – deliberately, responsibly, and with measurable impact.