EdgeRed

Home Podcast [Nap Stack] The unglamorous work that decides who wins with AI

The unglamorous work that decides who wins with AI

Every business in Australia is racing towards AI. But the organisations that get the most value won’t win because of flashy models. They’ll win because of the unglamorous work they did before AI was even on the agenda.

What’s keeping tech leaders up at night

Two things dominate the conversation.

The first is proving AI spend to the board. If you’re spending a few hundred thousand dollars on Copilot licences, what does that mean for the business? Most leaders don’t have a clean answer yet, and the pressure to produce one is only growing.

The second is data, though not the way it’s usually framed. Enterprise companies don’t lack data. They lack access to it. It sits in silos across systems that don’t talk to each other, which leads to the underlying CIO question: how do I make sure the stuff AI touches is secured and governed?

What getting it right looks like

Companies making real progress right now took the hard pill. They spent years on the boring foundational work before anyone shipped an agent: getting the data access model right, designing governance from day one, earning leader buy-in early.

The payoff shows up later. Once the foundation is there, new AI capabilities can be brought online in weeks. The organisations that skipped that step are now retrofitting the boring stuff after the fact, at higher cost.

The vendor question most leaders aren’t asking

Sitting across from a vendor, the temptation is to focus on the tech. What does it do? What does it cost? Which models does it use?

The more useful question is: what change is this going to bring to my company? What processes will need to shift, and who reorganises around it? Most vendors have thought less about that than about their feature list, which tells you something on its own.

Technology is the easiest part

“Technology is always the easiest part.” That was the line that stuck. You can have the best AI agent in the world, but if the people and processes aren’t ready, it doesn’t go anywhere.

AI adoption that holds up looks pretty boring from the outside. Slow foundation work, careful buy-in, governance in place before anything gets built. It’s the version that lets a demo eventually become production.

This post is adapted from Episode 11 of Nap Stack, Mon’s podcast on AI, data, and building a business. [Listen here.]

About our guest

On this episode of Nap Stack, we spoke with Vivian Vo, Enterprise Account Executive at Databricks, the data and AI platform used by some of the largest companies around the world. In her role, Vivian is in constant conversation with tech and data leaders across Australia, giving her a front-row view of what’s actually working (and what isn’t) as enterprises move from AI experiments into production.

About Nap Stack

Nap Stack is an Australian business podcast hosted by Monica Ly, co-founder of EdgeRed – an Australian data & AI consultancy (part of The Omnia Collective). Each episode is five minutes on AI adoption, data strategy, and the decisions senior leaders are actually making right now. It’s practical, no-hype, and built for executives and business owners – not technologists. New episodes drop weekly.

Find Nap Stack on Spotify and Apple Podcasts.