Insights for real estate decision-makers

Better technology decisions start with better questions.

Practical guidance for evaluating technology investments, modernizing workflows, connecting data, and applying AI where it can create measurable business value.

The goal is not to promote a predetermined tool. It is to help real estate leaders understand the decision, the economics, the operating implications, and the path forward.

A better question
Should we own this software, or keep renting it?
Browse insights

What does a real estate leader need to understand next?

White paper · Strategy & Investment

The $2 Million Line Item Nobody Questions

Underwrite technology like the building

Why firms paying $400K+ a year for stable software should consider owning it instead, and how to run a clear-eyed review of where licensing dollars actually go.

Taazaa white paper
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AI & Automation

Modernizing Legacy Systems with AI

Three architectural patterns for AI-driven modernization, chosen against the system you already run.

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AI & Automation

PropOS: Proptech Meets Agentic AI

How an agentic operating layer reshapes proptech workflows and decisions.

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AI & Automation

How Agentic AI Is Changing Real Estate

Where agentic systems fit real estate operations, and where human authority stays.

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AI & Automation

How AI Is Transforming Commercial Real Estate

A grounded look at AI's real impact across commercial real estate workflows.

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Strategy & Investment

CRE Technology Trends in 2026

What is real, what is noise, and what pencils for commercial real estate in 2026.

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Buildings & Systems

Energy Management Innovations for Real Estate

How energy, IoT, and building systems change the operating and capital picture.

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Data & Reporting

How Data Analytics Drives Real Estate Digital Evolution

Turning connected data into product, marketing, and operating decisions.

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Strategy & Investment

The State of Proptech

How proptech matured, and which technologies are drawing real investment next.

Taazaa white paper
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Strategy & Investment

How Does AI Fit into Your Technology Budget?

A framework for the trade-off between AI spend and the run costs that do not shrink.

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Data & Reporting

Agentic AI at Scale: Laying the Right Foundations

Most agent programs stall before they scale, and the gap is almost always a data problem.

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Mike Hammerslag

Mike Hammerslag

Head of Real Estate & Finance, Taazaa
Real estate credentials
Certified Property Manager (CPM) Master of Corporate Real Estate (MCR) Senior Leader of Corporate Real Estate (SLCR)
Technology credentials
Certified Product Manager Artificial Intelligence in Real Estate (AIRE)
About Mike

A real estate, finance, operations, and technology perspective.

Mike Hammerslag brings more than 30 years of experience at the intersection of commercial real estate, finance, operations, and technology. He has worked with owners, brokers, and managers of commercial real estate in roles including Director of Financial Analysis, Director of Research, and Managing Director of Financial Consulting.

He also led the financial and property operations of a family office overseeing approximately $200 million in assets under management, including commercial real estate holdings and third-party residential management.

His experience spans the management, financing, leasing, and sale of major property types. It includes work associated with the sale of Rockefeller Center, a 1.5-million-square-foot lease for a leading financial institution, the management of the 111 Eighth Avenue complex, and forensic analysis supporting property-tax determinations at 4 Times Square.

Mike has taught real estate and finance at Cornell University, SUNY Oneonta, NYU, and CUNY. As a faculty member, he has taught separate courses in financial analysis, investment analysis, market analysis, portfolio management, corporate finance, investments, and the foundational Real Estate Principles course. At NYU, he led the undergraduate real estate program. He continues to teach at CUNY, where he will offer Real Estate Principles in fall 2026.

Educational background
BS
Business, Mathematics, and Computer Science
MS
Real Estate
MBA
Finance
Doctoral coursework
Real Estate and Finance

His perspective combines real estate judgment, financial discipline, operating experience, product management, and a practical understanding of how technology must fit the business it is meant to improve.

A better technology decision starts with the business problem.

Bring the workflow, operating issue, investment question, or idea. We can work through the outcome the business needs, what is standing in the way, and whether the answer is to retain, connect, modernize, replace, build, or apply AI.