Context:

Most organisations have moved beyond asking whether they should integrate their DAM – the question now is how to scale those integrations intelligently across the enterprise.

As the ecosystem surrounding DAM expands to include PIMs, CDPs, CRMs, marketing automation, eCommerce platforms and AI services, the point-to-point connections that worked for two or three systems quickly become unmanageable at scale.

The Integration Maturity Curve:

Most organisations still manage content one channel at a time. Every page, app screen and campaign carries its own copy of the truth, and every change means hunting it down. Jetstar Airways decided that model would not scale.

From 2022, Jetstar moved to a headless, omnichannel content platform that brought assets and content together from day one. Content was broken into small, reusable parts and served to its app and website across 19 points of sale and 8 languages together with their structured digital assets.

Covering:

The new reality:

AI has made competent content cheap and abundant. When everyone has access to the same models, the differentiator shifts to what the models cannot copy: your assets, your metadata, your rights, your performance history. The evidence layer.

DAM has quietly become one of the most strategic and defensible assets in the AI era.

The implications:

As Senior Manager of 3D Production at City Home, I lead our team in developing best practices to streamline 3D asset creation and optimize our DAM for asset usage. Outside of work, I volunteer with local cat rescues—nothing beats caring for cats and reading some books.

Alex helps teams work better together by connecting people, processes, and technology. His work focuses on digital asset management, creative operations, and AI enablement, helping organizations build more connected and scalable ways of working. He is passionate about simplifying complexity and creating systems that make collaboration easier.