Thoughtworks Technology Podcast · Thoughtworks

Navigating AI opportunities at MYOB

·57 min·5 clips

Simon Noonan unveils MYOB's four-pillar tech strategy, where AI powers human and customer intelligence.

Nigel Dalton opens with fatigue, which feels about right. There is plenty of noise around artificial intelligence in software delivery, so he pulls the discussion toward real people in real companies trying to make it work. MYOB becomes the example. Simon Noonan and Mei Xu keep coming back to data, experience, and the everyday work of turning AI into something useful. Simon does not treat AI as one big program. He splits it into three lenses: people, customers, and disruption. That makes the conversation easier to follow, because those lanes do not move at the same speed and they do not carry the same risk. Mei adds the necessary caution. AI may be transformational, but it is not a silver bullet. The wider industry context sits in the background. Simon compares earlier waves of change across the dot-com era, smartphones, and cloud with an AI shift that may squeeze similar change into three years. That pace leaves plenty unresolved. The episode does not pretend anyone already knows where agent communication, open source influence, or future AI paths will land. Hyperscalers come up as reference points, and Simon has tested some of MYOB's thinking with them. Still, the framework keeps returning to MYOB's people, customers, and disruption lenses. The takeaway is practical: use AI often, build judgment through use, and keep the conversations close to real work rather than hype.

As heard by us

A grounded AI conversation about what changes when companies use it for real.

This episode treats AI as a working problem rather than a slogan: what are companies actually doing with it, and what changes inside the business when they do?

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Why you'd press play

Press play if you want AI discussed as operating reality, not a slogan.

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