Transactions are a team sport. Real estate in general is a team sport.
Count the roster on any single deal. The agent. The lender. Title. Escrow. Inspectors. Appraisers. The other side's agent, and their whole roster too. And not to mention the two parties who actually matter most: the buyers and the sellers.
Every one of them is competent. Every one of them is busy. And none of them work for each other.
So what's actually hard about a transaction?
Not the number of people. Real estate has always been a team sport, and the industry is very good at assembling teams.
The hard part is keeping everyone coordinated. Who's waiting on what. What just changed, and who still doesn't know. Which deadline moved when the inspection got rescheduled. The deal doesn't usually fall apart because someone was incompetent. It falls apart in the seams between people, and one missed detail in those seams is expensive.
That coordination work is invisible in every job description, and it eats the agent's day.
Does adding technology help or hurt?
It depends entirely on which kind you add.
Most software joins the transaction as another player: a login, a dashboard, a set of notifications, a place someone has to remember to check. That's one more thing on the roster to keep in sync, which means the coordination problem just got slightly worse, not better. I've made the case before that the agent shouldn't have to learn the tool, and this is the team-wide version of the same idea.
Adding a player to a team that's already struggling to stay in sync isn't the fix.
Where does AI actually get interesting?
Here, and this is the part I find genuinely exciting: not another tool to manage, but something that helps manage the transaction itself.
Something that knows where the deal stands across all the parties. That notices the lender is waiting on a document the agent thinks was already sent. That sees the deadline nobody recalculated after the inspection moved. That keeps the state of the deal in one place so the professionals can spend their attention on people instead of on status-chasing.
The team stays the team. The judgment stays with the professionals. What changes is that somebody, or something, is finally holding the whole picture.
Quick takes
Why are real estate transactions considered a team sport?
A single deal involves the agent, lender, title, escrow, inspectors, appraisers, the other side's team, and the buyers and sellers. All are competent, all are busy, and none of them work for each other.
What is the hardest part of managing a real estate transaction?
Coordination, not headcount. Judd Hoffman argues deals fall apart in the seams between people: who is waiting on what, what changed, and which deadline moved, rather than through any one party's incompetence.
How should AI help with real estate transaction coordination?
By helping manage the transaction rather than joining it as another tool to manage. Useful AI holds the state of the deal across parties so professionals spend attention on people instead of chasing status.
Sources
- Should Real Estate Agents Have to Learn AI?: Judd's earlier episode on the difference between a tool the agent has to manage and an assistant that carries the load, the distinction this episode applies to the whole transaction team.
- Fast and Wrong Is Expensive: On what a single missed detail costs in a real estate transaction, which is usually a coordination failure between parties rather than one person's error.
Transcript
64 words
Transactions are a team sport. Real estate in general is a team sport. You have the agent, the lender, title, escrow, inspectors, not to mention the buyers and sellers. The hard part isn't really adding another player. It's keeping everyone coordinated. And that's where I think AI gets really interesting. Not another tool to manage, but something to literally help manage the entire transaction.
