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Custom AI apps & solutions

Custom AI apps.
Built for CRE work.

Search internal knowledge, process property documents, support inquiries, and prepare drafts with AI applications built around your information and review process.

Custom AI app concepts

See the AI workflows in action.

Try fictional AI concepts for document review, knowledge search, inquiries, and drafting. Each demo shows the task, source information, and review step.

Where we can help

AI applications with a specific job.

AI can be part of your website, a focused internal application, or a larger workflow. We identify the useful role first.

01

Knowledge assistants

Give your team a more useful way to search approved documents, property information, and internal knowledge, with references back to the source.

02

Document workflows

Extract and organize information from leases, rent rolls, and other documents into a format your team can review before using it.

03

Property inquiry assistants

Help visitors find approved listing information, capture relevant details, and connect with the right person at your brokerage.

04

Drafting & research tools

Prepare first drafts of property descriptions, briefs, meeting summaries, or outreach for your team to refine and approve.

Our approach

Useful outputs.
A clear review process.

A good AI application makes the work easier to review and complete. We define where the system can help, where people need to decide, and how to judge the result.

  • Start with approved information

    Agree on the sources, access, and data handling before building.

  • Test real examples

    Review outputs against representative documents and workflows, including incomplete or unusual inputs.

  • Make the limitations visible

    Show references, uncertainty, and exceptions where the workflow calls for them.

  • Keep a useful review step

    Define human approval before outputs are published, sent, or used for consequential decisions.

The starting point

Start with a focused pilot.

We begin by reviewing the task, the available information, and the people who need the result. Then we define a small pilot and a practical way to evaluate it.

01

Define the job

Choose a specific workflow, map the inputs, and set expectations for a useful output.

02

Build a working pilot

Create the app or workflow and test it with your team using representative examples.

03

Evaluate before expanding

Review output quality, review effort, and operating costs before deciding what to improve or extend.

AI project FAQs.

Do we need to know which AI tool we want?

No. Start with the problem or the task. We help assess whether AI is a useful fit, which information it needs, and what the simplest workable approach looks like.

Can you build with our internal documents?

Potentially. We first review permissions, sensitivity, available systems, and the required data handling. The solution and providers are chosen to fit the agreed requirements.

Can we trust every AI answer?

AI output can be incomplete or incorrect. We design around the task with source references, testing, exception handling, and human review where appropriate. Your team should verify material information before relying on it.

Can an AI app connect to our website or existing tools?

Yes, when those tools provide suitable access. We confirm the integration options, the information that may be shared, and any approval steps during discovery.

Good work starts with a conversation

Scope your AI application.

Choose the documents, information, or workflow you want to improve. We will define the application, data access, and review requirements.

Let’s talk