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One workflow · four weeks

Onboard the workflow before the tool.

A safe rollout starts with a business task, a manual baseline, decision rights, and a small pilot. The model is one component—not the operating system.

Practical guideReviewed August 20, 2026

The weekly rollout.

  1. 01

    Week 1 · Bound

    Document intended use, allowed data, prohibited data, decision owner, reviewer, and manual baseline.

  2. 02

    Week 2 · Build safely

    Demonstrate on fictional or sanitized inputs, train the review method, and collect failure examples.

  3. 03

    Week 3 · Pilot narrowly

    Use a small group, limited volume, required human approval, and a live exception log.

  4. 04

    Week 4 · Decide

    Compare the pilot to the baseline. Standardize only when quality, risk, and ownership are clear.

Build the pilot plan from real constraints.

30-day rollout planner

Turn this proposed real-estate AI use case into a four-week pilot.

USE CASE
[one repeated task]

CURRENT MANUAL BASELINE
[steps, owner, time range, errors, and completion receipt]

ALLOWED INPUTS / FORBIDDEN INPUTS
[list]

DECISIONS A HUMAN MUST MAKE
[list]

PARTICIPANTS
[pilot owner, reviewers, and users]

Return a Week 1 boundary-and-demo plan, Week 2 safe build, Week 3 limited live pilot, and Week 4 standardize-or-stop review. Include training artifact, exception log, success measures, rollback, approval gates, and evidence required before expansion. Never authorize a client-facing send or record change.

Situation

Open-house follow-up drafts

Three agents write drafts from approved event notes; a person reviews and sends from the existing CRM.

Useful output

A shared prompt, allowed-field map, tone examples, approval queue, exception log, and weekly pilot scorecard.

Completion receipt

Ten reviewed drafts with source notes, approval status, corrections, no automated sends, and a Week 4 keep/change/stop decision.

Keep building the system.

Team AI policy

Write the one-page boundary people can follow.

Open standalone guide →

Use-case scorecard

Pick the first workflow by usefulness and risk.

Open standalone guide →

Onboarding hub

Use the full team adoption system.

Open standalone guide →

Research sources

Check the current rules, capabilities, and source basis.

  1. 01NIST: AI Risk Management Framework Core ↗

    The Govern, Map, Measure, and Manage framework, including training, intended-use, human-oversight, testing, and documentation outcomes.

  2. 02NAR: Artificial Intelligence in Real Estate ↗

    NAR's current overview of AI use in real estate and policy priorities around privacy, Fair Housing, and copyrighted listing content.

  3. 03NAR: 2026 Code of Ethics ↗

    Current professional standards requiring a true picture in advertising and prohibiting misleading images and manipulations.

  4. 04HUD: Fair Housing guidance for digital advertising ↗

    Government guidance on Fair Housing risk in digital housing advertising and delivery.

Product access, limits, local listing rules, platform policies, and laws can change. Re-check the linked authority before important or public work.

Keep building

Put AI to work in your real estate business.

AI Acceleration: Real Estate is a private, self-directed curriculum for practical AI work across content, communication, lead follow-up, CRM, client research, operations, and relationship management. Build it. Review it. Keep what works.

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No ranking, revenue, closing, or time-saving promise. The classes teach the work and the review systems around it.