AI for Property management

Sample Planning Sprint Pack

What the $5,000 Planning Sprint delivers.

A sample plan for Brickwren, a fictional short-term rental operations platform that wants AI beyond our existing modules. Two weeks, no build: where AI fits, what it depends on, and a fixed quote.

What you get

  • Where AI fits across your platform, with the user outcome, users and data for each
  • The prioritized capability map, with what each one depends on
  • The readiness review of your architecture, data, integrations and permissions
  • Cost-to-serve estimates per property, with the assumptions shown
  • The recommended first build: 2 to 3 capabilities and why they come first
  • A fixed-price quote to build it and take it to production; the $5,000 counts toward it

Illustrative demo on a fictional management company. Not client work.

How the two weeks run

We plan with the people who know the platform.

About 2 to 3 hours a week from a product owner and an engineering lead. No build, no production access.

Week 1

  • Walk the platform with your product and engineering leads, role by role
  • Read what owners, managers and crews ask for in support tickets
  • Map which backend APIs each role can already reach

Week 2

  • Map the capabilities and review architecture, data, integrations and permissions
  • Estimate the cost to serve per property
  • Agree the first build with you and write the fixed quote

01 · Where AI fits

Every opportunity, tied to a user outcome.

Including capabilities our modules do not cover. Each one names who uses it and the data it needs.

Turnover booking in chatCleaner managersBookings, jobs, calendar APIs
Crew updates by textCleanersJobs, crew phone numbers
Contractor requestsOwnersTasks, marketplace ratings
Owner payout questionsOwnersBookings, payouts, fees

02 · Capability map

Now, next and later, with what each depends on.

Ordered by user value and by what your platform can support today.

Turnover booking in chatNowBooking and job APIs with role checks
Crew updates by textNextPhone numbers on crew accounts
Owner payout questionsLaterA payout history API

03 · Readiness review

Architecture, data and permissions, checked.

What is ready, what needs work, and what blocks a capability until it changes. Illustrative findings.

Findings

  • Booking and job APIs already check roles; the assistant can call them as they are.
  • Property timezones are missing on older listings; conflict checks wait until they are filled.
  • Some crew accounts have no phone number; text sign-in starts with the crews that do.
  • Open question for you: include the assistant in every plan, or sell it as a tier?

04 · Recommended first build

Book turnovers in chat first.

Two capabilities that share the same booking data: booking and job tools on your APIs, and the overlap and check-in checks.

05 · Quote

A fixed price to build it and take it to production.

The fixed quote is in your Planning Sprint Pack, not on the site. If you go ahead, the $5,000 counts toward it; if you stop, the plan is yours.

Get a plan for your own platform.

Bring the AI questions your owners, managers and crews are asking. In 30 minutes we agree what the Planning Sprint would map.

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.