Real estate AI glossary

AI employee

An AI employee is a defined business workflow with a job, business trigger, approved sources, tools, written rules, routine actions, source of truth, stop rules, logs, success measures, and human approval points. It does not need to imitate a person. It needs to carry repeatable work from a clear start to a measurable finish and bring exceptions back to an authorized person.

For a Realtor, the job might be lead intake, transaction tracking, listing coordination, or CRM review. For a property manager, it might be maintenance intake, leasing follow up, lease renewal tracking, resident communication, or owner reporting.

Business trigger

A business trigger is the event or schedule that starts the job without someone remembering to type a prompt. A new lead, signed contract, won listing, maintenance request, approaching lease date, resident reply, or daily review time can be a trigger. A trigger should identify the specific record and the workflow that owns the next step.

Source of truth

The source of truth is the approved system or document that holds the authoritative fact or final business record. It may be the CRM, signed contract, property-management system, calendar, listing record, work order, or approved policy. When sources conflict, the workflow should stop instead of choosing the most convenient answer. Completion should also be recorded in the correct source of truth.

Routine action

A routine action is a step the system may prepare or complete under written rules. Examples include gathering missing details, creating a review list, drafting an approved update, recording a note, setting a task, or routing work. Routine does not mean harmless. Access, facts, audience, timing, and approval still need boundaries.

Exception queue

An exception queue is a short list of cases that could not finish through the normal rules and need human attention. It should show the record, source facts, missing information, proposed action, reason it stopped, deadline, and person who can decide. The goal is to remove routine checking so managers see the few cases that actually require judgment.

Human approval

Human approval is a required review by an authorized person before a material action is taken. Real estate examples include public property facts, client messages, contract dates, negotiations, signatures, legal questions, fair housing matters, resident disputes, screening decisions, emergencies, and spending outside written limits. Approval should be visible and recorded, not assumed.

Stop rule

A stop rule is a written condition that prevents automatic action and routes work to a person. Conflicting dates, uncertain identity, missing consent, an accommodation request, emergency language, unapproved spending, a legal threat, or a failed system connection can be stop rules. Good stop rules are tested against past and synthetic cases before live use.

Guardrail

A guardrail is a technical or operating control that limits what the system can read, change, send, spend, or decide. Examples include read-only access, allowed record types, approval thresholds, approved templates, quiet hours, sender identity, restricted tools, rate limits, logs, and a kill switch. A sentence in a prompt is not the same as an enforced guardrail.

Human handoff

A human handoff transfers complete context and ownership to a person. It includes the original source, verified facts, work already completed, missing information, reason for escalation, deadline, and proposed next action. A notification that only says “something went wrong” is not a useful handoff.

Controlled browser workflow

A controlled browser workflow uses a browser to read or update an approved business system when a stable API, webhook, or export is not available. It should use a dedicated account or profile, limited permissions, known pages, explicit checks, logs, screenshots or evidence where needed, and a fast stop path. Browser workflows are more sensitive to website changes and need monitoring.

Canary launch

A canary launch is a limited live release. The workflow handles a small volume, narrow record set, limited users, or one low-risk action while people monitor the result. A canary should have clear success and failure thresholds, human approval, logs, and a way to pause immediately. Wider access is earned through accurate performance.

Recovery path

A recovery path explains what happens after failure. It identifies which work may be incomplete, how a person sees the affected records, how to correct the source of truth, whether the job can be retried safely, and how duplicate actions are prevented. A business system is not reliable merely because it works during the happy path.

Care plan

A care plan is ongoing monitoring and bounded maintenance after launch. It can include failure review, compatibility updates, small workflow changes, prompt or rule refinement, test reruns, access checks, usage review, and incident response. A care plan does not automatically include every new job or unlimited development. Its scope and response expectations should be written.

AI Employee Map

An AI Employee Map is the first paid planning step in Adam Stinespring’s process. It is one working session plus a written map of the first job, current workflow, trigger, approved sources, systems, risks, stop rules, human approval points, success measure, and build boundary. The $250 AI Employee Map is refunded if there is no clear value by the end.

Book the $250 AI Employee Map