Several workplace technologies have already surpassed 80% adoption rates for operational functions; predictive maintenance, data warehousing, energy and emissions management, demonstrating that the infrastructure layer is maturing. The strategic intelligence layer is what remains underdeveloped. And the organisations that are closest to having it are not necessarily those that spent the most on technology, they are those that made deliberate decisions about data ownership, integration architecture and operating model design before they bought anything. JLL

Which brings me to the question I want this community to answer from lived experience - How should your PropTech capability be structured for tomorrow's AI-native system — in-house, outsourced, or hybrid?

Specifically:

— If you outsource your CPIP/IWMS to an IFM provider or managed service, do you retain meaningful control of the data model and integration architecture — or does the AI-native capability you'll need in five years effectively belong to your supplier?

— If you are building in-house, where have you drawn the line between what you own and what you buy — and how are you keeping pace with a vendor market moving faster than any internal team can match?

— Has anyone in this community piloted a genuinely agentic AI workflow across the portfolio-to-projects pipeline — not a chatbot on top of a legacy system, but something that reasons across connected datasets and surfaces decisions? What does that actually look like in practice?

— And for those mid-transition: what would you tell your past self about the sequencing? Data first, then platform, then AI — or did you find a different order that worked?

The blueprint for the AI-native CRE system is being written right now, partly by vendors, partly by the occupier organisations willing to architect it themselves. Interested to understand where peers in this community are in that journey and whether anyone is further along than the rest of us suspect.

The honest version of this conversation in most organisations is: we bought the technology, but we didn't change the org chart, the governance or the data ownership — and so it hasn't changed much at all.

In summary, most organisations appear to have gone down the tactical deployment route, buying technology without redesigning the operating model, the data governance, the team structure or the decision-making culture around it resulting in over promises and underperformance. Whereas, the organisations achieving genuine value from their technology investment are those that have treated it as an organisational transformation programme with a technology dimension, not a technology procurement exercise with occasional change management attached.

Where has technology genuinely shifted how your CRE team is structured or makes decisions? And where has it underdelivered against the promise?

Expect an import lesson here for those hoping to unlock the AI advantage.

Interested to hear from peers who have recently changed vendor, insourced or upgraded their IWMS ... have posted a few questions below -

• Which IWMS are you currently running

• How long have you been using it?

• What single feature or capability genuinely impresses you — the one you'd miss most if it disappeared tomorrow?

• Does your IWMS system anticipate auto-abstract and auto-populate contract-based datasets, automate bill payments and flag maintenance issues before they become problems?

• Where has your IWMS delivered the clearest measurable value to your estate, facilities or workplace team — space utilisation, maintenance cost reduction, lease management, energy performance or something else entirely?

No vendor pitches please, peer-only honest, experience-based conversation.

Share your thoughts below 👇