Practical perspectives on AI in CRE
What works, what doesn't, and why. Written for real estate and finance leaders navigating technology decisions.
Agentic AI in Corporate Real Estate: What It Is, What It Isn't, and How to Deploy It
Where AI agents add real value in CRE, where the hype outpaces reality, and a practical framework for responsible deployment.
Why Spreadsheets Still Run Corporate Real Estate (And What It Actually Costs)
Most CRE teams have the data. The hidden cost is how long it takes to get a trusted answer from it.
How to Conduct a CRE Technology Assessment That Actually Leads to Action
A practitioner's guide to assessing IWMS environments, mapping integrations, evaluating data quality, and building a roadmap.
Why Corporate Real Estate Consulting Is Still Priced Like It's 1995
The expertise still matters. The delivery model hasn't kept up. It's time to match the approach to the problem.
Three Ways to Get Portfolio Visibility in Corporate Real Estate (And What Each One Actually Costs)
IWMS consolidation vs data lake vs analytics layer. Same goal, very different costs.
Questions to Ask Before Buying AI for Corporate Real Estate
Before you sign anything, slow down. Eight questions to separate substance from sales pitch.
TRIRIGA Is Changing. What Should CRE Teams Do Next?
IBM merged TRIRIGA into Maximo. Before choosing a path, here is what to assess first.
Do You Really Need a Consolidated Platform to Get Consolidated Reporting?
Why the IWMS consolidation model has underdelivered, and why connection may be the better path to portfolio-level visibility.
Enabling Better Decisions in Corporate Real Estate
Five capabilities CRE technology should enable to better serve business leaders.
Practical Ways to Use AI in Corporate Real Estate
Where AI actually adds value in CRE, and why most pilots never make it to production.
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