Multifamily Owner & Operator · Asset Manager

I manage multifamily properties and explore how AI can help multifamily organizations work better.

Daisy Wan
Dallas, Texas
Since 2013Working in multifamily
3,200+Units invested & acquired
2,500+Units under asset management
$2B+Portfolio experience

Work

What I’m working on

  1. Multifamily Asset Management

    Working with ownership and property management teams to improve decisions, execution, and asset performance.

    Asset Management ↗
  2. Multifamily Investing

    Investing in large multifamily properties through an owner’s lens.

    Oak Real Estate Investment ↗
  3. Kenli

    Building AI for property and asset management teams to capture what happens, preserve context, and make operating knowledge more useful.

    Explore Kenli ↗
  4. Writing & Book

    Writing about multifamily operations, operating judgment, organizational knowledge, and what AI changes — including a book now in progress.

    Read the newsletter →

Exploring

How can AI help multifamily organizations learn, remember, and make better decisions?

I’m especially interested in what happens to property knowledge, decision context, and operating judgment as people, teams, and systems change.

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Newsletter

All issues

Rethinking Multifamily with AI

Exploring how AI can help multifamily organizations work, learn, and make better decisions.

Cover of How to Make a Property Remember by Daisy Wan

A book in progress

How to Make a Property Remember

One of these questions has grown into a book: how AI can preserve property knowledge and help multifamily organizations make better decisions.

About the book

About Daisy

From investing to operating to building.

  • Finance & Actuarial
  • Investing
  • Asset Management
  • Building

I started my career in finance, then moved into real estate investing and progressively closer to the operating side of multifamily.

Asset management changed how I saw the business. The hardest problems were rarely just numbers. They were also about people, execution, context, follow-through, and whether a team could turn ownership priorities into action.

Over time, I found myself paying more attention to the same recurring operating challenge: important context and judgment were often difficult to preserve beyond the people who carried them. AI made me look at that problem differently — not because the problem was new, but because new ways of addressing it were becoming possible.

Today, my work spans multifamily asset management, investing, and Kenli. I write to make the lessons from that work more durable and reusable.

Good operations start with people. Better systems help their judgment compound.