Show Notes
Most CRE firms do not know how their data is performing. They know the assets. They do not know whether the numbers coming out of their ERP, their property management system, and their third-party data feeds are consistent, auditable, or actually connected.
When AI gets layered on top of that mess, it produces confident-sounding outputs nobody can verify.
LD Salmanson, co-founder and CEO of Cherre, has spent seven years building the infrastructure layer that sits underneath the AI. The alternative is manual - and it breaks. Teams of consultants collect, distill, and rebuild data processes every few years. When staff leave, institutional knowledge leaves with them. The process erodes; you rebuild it.
Compliance is non-negotiable. For clients reporting to public markets, "the LLM said so" is not a defensible audit trail. Every data point needs a traceable chain of custody from source to final figure.
The engineering function is changing faster than hiring cycles. Cherre has moved to a model where engineers design and govern agents rather than write code. Salmanson expects manual coding to be largely redundant within six months.
Firms that have not solved the data layer first will find themselves unable to deploy AI in any operationally meaningful way. The gap between firms that have built this infrastructure and those that haven't will be visible - and measurable - within the next 12 to 18 months.
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