Henry is the AI Copilot for commercial real estate brokers

I can imagine the world of real estate needs a bit of help when it comes to managing the crazy amount of documentation generated by so many different actors - clients, national government, local government, specific agencies and so on.

The team at Henry.ai have decided to help out by creating an all-in-one workspace to automate the manual work of putting everything together in a single pitch deck.

You can, of course, also ask it anything, too.

So far, so good. We're all nodding away, right?

I'm specifically interested in what they're aiming to do next. See below for the current architectural perspective of Henry... then move your eyes to the bits in blue at the bottom.

Those bits in blue - coming soon - are:

• Manage relationships: Smart prospecting, manage existing relationships
• Manage deals: Auto-track and update deal correspondences from a single point

Combining all of this together could very quickly make individual brokers into 'superbrokers' as Henry.ai suggests.

The tooling, the user interface, the data management and then the document generation would need to be brilliant.

I wanted to post this one because I think it's a great example of an ultra-early domain-specific work agent. Like many, I am visualising a world where we'll have our very own 'Jarvis' (from Iron Man), or a variety of Jarvii for specific use cases.

I can imagine being able to lean heavily on Henry.ai to get everything done at work. Make this deck. Create this flyer. Re-write the proposal with this new set of data I've just received. Automatically follow up with that prospect and help me prioritise what I should be doing this morning.

One of Henry.ai's co-founders, Sammy, gave this example of the amount of effort expended by existing real estate brokers at the moment:

I was speaking to a broker yesterday about her OM ["offering memorandum"] process and she mentioned she had just spent 3 hours looking through, and I kid you not, city county minutes to research upcoming development projects in Durham, NC.

From there, she spent 45 minutes on Apartments.com going unit by unit to benchmark rent comps because that’s the only way to do it accurately.

Then she spent an hour researching recent demographic trends and major nearby employers to the subject property. Finally, she spent 25 minutes labeling aerial shots of the property that were taken on a drone.

I’m showcasing this example to explain the nuances and complexities of these presentations. In short, analyzing, organizing, classifying, and packaging the data in a presentable manner is excruciatingly painful and stuck in the stone age. That's where we come in.

If you can make this even 25% more efficient, I think people will be lining up to subscribe.

Good luck to team Henry.ai!

If you'd like to know more, talk to:

• Sammy Greenwall, Co-Founder, Henry.ai
• Adam Pratt, Co-Founder, Henry.ai