New, with Accorian: a real-time AI governance framework for control drift in enterprise AI.Read the framework
Operating executive, US commercial real estate
AI valuations the operator could defend to the board.
$20M modeled 10-year NOI/NPV uplift, six fragmented sources unified, every dollar traceable to a predicted valuation.
The proof
The results, kept honest.
01
The challenge.
The operating executive had to defend asset numbers he did not generate, while the owner fought a deep discount to NAV. Data was trapped across six fragmented sources and outsourced operators, with no central layer and no way to tie a recommendation back to a number the board would accept.
02
The approach.
Capability-center roadmap sequenced over multiple quarters.
Vendor data-quality clauses for outsourced operators.
NOI-anchored ROI model tied to source data, operating assumptions, and predicted valuation impact.
03
What shipped.
Six fragmented sources unified.
Asset-level data gaps traced to outsourced operating partners.
ROI stated in NOI and predicted-valuation terms, not generic productivity language.
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