AI for real estate: the admin handled, the agent in front of the client.

AI for real estate takes on the admin that sits between an agent and the next deal: working out commissions, drafting listing copy, answering new enquiries, keeping the CRM clean and scanning listings against a buyer's criteria. We design and build these tools for agencies, teams and property investors, on the systems you already use.

Overview

Real estate is a relationship business buried under admin. Every listing, enquiry and sale generates data entry, follow-ups and arithmetic, and most of it happens on a phone between appointments.

Tensor Partners builds focused tools for that work: a mobile app that calculates commissions as the agent types, agents that answer and follow up enquiries, and scanners that score listings against a strategy. Each one connects to the CRM and listing sources you already run, and a person stays in charge of anything that goes to a client.

Two of our live systems come from property. The Commission Calculator gives a real estate agency's agents an accurate commission breakdown in seconds instead of minutes, standing in front of a vendor. The Property Scanner, built by our founder for his own investing, scores live listings against a defined strategy and runs the numbers before anyone looks.

At a glance

Focused tools on the systems you run

Each tool connects to the CRM and listing sources you already run, and a person stays in charge of anything that goes to a client.

Built on

Your CRM + listing sources

The systems you already use, not replaced

  • Commission calculations

    In real time, as the deal is entered

  • Listing descriptions

    Drafts ready to edit and approve

  • Lead response and follow-up

    Answered, qualified, booked in

  • CRM hygiene

    Duplicate and stale records cleaned up

  • Property and deal scanning

    Listings scored against your criteria

  • Vendor reporting

    Campaign updates ready to review

Sign-off

A person stays in charge

Of anything that goes to a client

Use cases

Where AI earns its place in an agency

  1. 01

    Commission calculations

    Tiered percentage bands, flat admin fees, multi-agent team splits and tax, calculated in real time as the agent enters sale price and deal structure. A clean breakdown they can walk a vendor through on the spot.

    See the Commission Calculator →
  2. 02

    Listing descriptions

    Draft listing copy from the property details, the agent's notes and your agency's own past listings, ready to edit and approve. Consistent across the office, without starting from a blank page. Nothing publishes without the agent's sign-off.

  3. 03

    Lead response and follow-up

    New enquiries from portals, your website and email answered promptly with the right property details, qualified with a few questions and booked in or handed to the listing agent. Follow-up that does not lapse while the agent is at an open home.

    AI automation →
  4. 04

    CRM hygiene

    New leads reconciled into the CRM, duplicate and stale records cleaned up, and a ranked list of who to contact next with a summary of what each person wants. The same pattern as our Sales Agent.

    See the Sales Agent →
  5. 05

    Property and deal scanning

    Live listings pulled and scored against a buyer's or investor's criteria, each candidate run through a financial simulation, and a ranked shortlist produced with agent outreach drafts ready to review.

    See the Property Scanner →
  6. 06

    Vendor reporting

    Campaign updates for vendors assembled from enquiry, inspection and buyer feedback data, drafted in the agent's voice and ready to review and send on a regular schedule.

Case studies

Live systems, real-world application

A robot checking a phone in a bright office, an orange chair behind.

Real estate commission app

Commission Calculator

A real estate agency's agents were working out commissions by hand or in spreadsheets, mid-conversation with a vendor. The mobile app handles tiered bands, admin fees, multi-agent splits and GST, so agents produce an accurate breakdown in seconds instead of minutes, with no spreadsheet errors.

A robot studying an architectural house model, modern houses visible through the glass.

Deal-scanning + scoring agent

Property Scanner

Built by our founder for his own property investing. It pulls live listings, scores each one against a defined investment strategy with AI, runs the numbers through deterministic and Monte Carlo simulation, and produces a ranked shortlist with outreach drafts ready to send.

How it works

How an engagement works

Every phase ends in something you can see working. You decide at each step whether to go further.

Phase 01

Audit

A fixed-price AI opportunity audit. We map how work moves through your agency, from enquiry to settlement, and rank every opportunity on return, feasibility and risk, with the builds priced.

AI consulting + audit →
Phase 02

Build

Working software on your stack, from a mobile app in the agent's pocket to agents running behind the CRM, tested against your real deals and data.

AI agents →
Phase 03

Deploy and operate

Shipped into production with monitoring, guardrails and rollback. We stay on to measure, tune and extend the system as your agency and the models change.

AI automation →

FAQ

Frequently asked

01How can AI help real estate agents?

Mostly by taking admin off their plate: calculating commissions, drafting listing descriptions and vendor updates, answering new enquiries, keeping the CRM current and scanning listings. The aim is more time in front of buyers and vendors, with a person approving anything that goes to a client.

02Do we need to replace our CRM?

No. We build on top of the CRM, listing sources and email you already use, connecting them through their APIs. If a system cannot be connected cleanly, the audit tells you before you commit to a build.

03Can it handle our commission structure?

That is the point of building it for you. Our Commission Calculator handles a network's actual tiered percentage bands, flat admin fees, multi-agent team splits and tax. Your structure is mapped first, then built and tested against real deals before agents rely on it.

04Will AI-written listings sound generic?

Not if they are built properly. We work from your agency's own past listings and style, and every draft goes to the agent to edit and approve. The tool removes the blank page; the agent keeps the voice.

05Is this for agencies only, or for investors too?

Both. For agencies and teams, the natural starting points are commissions, enquiry follow-up and CRM work. For investors and buyer's agents, it is deal scanning, which is how our Property Scanner began: listings scored against a defined strategy and run through a full financial simulation. Every engagement starts with a fixed-price audit, so you see the numbers before committing.

Start here

What you get
A straight answer on whether AI pays off in your business, and what it would take.
Office
2 Wakefield Street, Auckland CBD, Auckland 1010, New Zealand
Response time
Within one working day

Start here

Less time on admin. More time in front of vendors.

30 minutes, no pitch deck, no obligation. Tell us what's eating your team's time and we'll tell you straight whether AI is the answer, and roughly what it would take.