Stephen Wunker

speaker

430 appearances 5 recordings 1 series first heard Mar 2026 last heard 6 Mar

Stephen Wunker’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 5 in all, peaking in Mar 2026 with 5.

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Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast · 5 ways to make your organization AI-ready · 2 Mar 2026 podcast

So let's go back to our marketing department.

There was a market department we worked with recently that wanted to have its cycle time for creating marketing campaigns.

Clear business objective.

So then it could disaggregate what was creating the friction today, what was creating the the long cycle time that it had.

And then look in a pretty granular way at whether AI was decreasing that or not.

Now, by the way, AI doesn't uniformly create efficiency, right?

So it might increase work in some areas.

But they could also then look at the net of that, right?

Yeah, okay, there might be a couple people who lose out over here, and we've got to make sure they're resourced appropriately to deal with the increased work, but there were many other people who had decreased work.

So you have to look at the whole system of change.

teams.

They think about AI as technology and not changing the system of work.

Put tech at the table, but look at it as the whole system you need to change.

Right.

So get people together cross-functionally and understand how are your business objectives being uh suboptimal now without AI and how might AI improve that, whether it's customization of an offering or the cycle time you take and making a proposal to a customer, for instance.

How is AI changing that?

That then gets you more right side up thinking about what your objective is, not the nuts and bolts of technology and how that might be achieved.

Love it.

So usually to get the most out of AI, you need to have some decent data and you need to have governance of how AI tools are being used.

If you don't have good data, you don't have good governance uh guardrails or systems, then you probably want to attend to some of that first.

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