The Playbook maps where AI belongs in a real estate brokerage, sequences the rollout across three phases, and names every agent your departments should run. Clai's team then works alongside yours to stand it up. Written for brokerages with a hundred agents and up, where a bad AI decision is expensive and a missed one is worse.
We will send two or three times in the next few days. Before the call we will ask for your agent count, your transaction volume and the systems you run today, so the session starts on your numbers instead of generalities.
Most brokerages are running AI experiments in marketing and calling it a strategy. The Playbook maps every function in the business, names the workflows AI should own in each, and says plainly which ones it should not touch yet.
Lead routing, CMA prep, listing appointment follow-up, buyer qualification.
14 use casesListing copy, collateral, syndication, neighborhood content, paid performance.
16 use casesNurture, past-client reactivation, review capture, referral tracking.
11 use casesContract prep, deadline tracking, document chase, closing readiness.
15 use casesFile review, disclosure completeness, fair housing language checks, audit packs.
13 use casesCommission splits, escrow reconciliation, agent statements, reporting.
10 use casesAgent pipeline, production analysis, onboarding, coaching prompts.
9 use casesMLS and CRM foundations, market intelligence, pipeline forecasting.
12 use casesTenant comms, maintenance triage, renewals, owner reporting.
11 use casesBoard reporting, office performance, vendor decisions, policy updates.
9 use casesNothing here asks you to bet the brokerage on a single rollout. Phase 1 produces measurable time back inside a quarter, which is what buys the political room for Phase 2.
Department co-pilots with light integrations, plus your first four scoped agents per team. Lowest risk, fastest time to value.
Persistent memory over your own data. Your listings, your comps, your policies, your voice, rather than a general model guessing at your market.
Multi-agent workflows that run end to end across departments, with a human approving at the points that carry legal weight.
Every agent in the Playbook is named, scoped and assigned. Here is a sample of what a department gets, with the autonomy level we recommend on day one.
| Agent | What it does | Phase | Autonomy |
|---|
Autonomy levels: assist means it drafts and a person sends. Review means it acts and a person approves. Auto means it runs unattended within defined limits.
Real estate is licensed, supervised and audited. Every workflow in the Playbook carries a risk rating, a supervision requirement and a record-keeping note before anyone is asked to turn it on.
Nothing that requires licensed judgment runs unattended. Each agent states who supervises it, what they approve and what gets logged for the file.
Listing copy, ads and outbound messages pass a discrimination and steering check. The Playbook includes the prompt patterns and the escalation path when a check fails.
Every agent action writes to the transaction record, so an audit or a complaint has a timeline rather than a reconstruction. Retention rules are set per state.
Budget approvals do not run on enthusiasm. Every workflow in the Playbook carries a time-saved estimate, a load assumption and the resulting annual figure, structured so your CFO can argue with the inputs instead of the conclusion.
| Phase 1 workflow | Basis | Annual |
|---|---|---|
| Contract prep and file setup | 1.4 hrs per transaction | $168,000 |
| Document chase and follow-up | 0.9 hrs per transaction | $108,000 |
| Listing copy and collateral | 1.1 hrs per listing | $79,000 |
| Compliance file review | 0.6 hrs per transaction | $72,000 |
| Commission and statement prep | 6 hrs per week | $31,000 |
Illustrative model for a 240-agent brokerage running 1,800 sides a year at a $55 loaded hourly cost. Your figures are rebuilt on your own volumes during the assessment.
The technology is the easy half. The hard half is a top producer who will not change how they work and an operations team that assumes this is how their job disappears. The Playbook treats that as the primary risk.
An AI lead owns sequencing and budget. A department lead owns the use cases for their function. Two or three champions per team drive adoption from inside it. Each role comes with its own remit and its own measures.
Reclaimed hours get redeployed somewhere specific and stated up front. Ambiguity here is what stalls adoption, so the Playbook includes the internal comms rather than leaving leadership to improvise them.
Agents choose brokerages on what the brokerage does for them. A working AI stack that removes admin from their week is a retention argument and a recruiting one, and it shows up in your split conversations.
The Playbook is deliberately platform-honest: plenty of workflows are best served by tools you already own. For the deal itself, contracts, signatures, compliance and the transaction record, claiOS is where the Playbook lands, and where most of Phase 1 gets built.
“We had eleven AI pilots running and no way to tell the board which ones mattered. Now we have a sequence and a number attached to each stage.”
“The compliance overlay is what got this approved internally. Our counsel could read it and tell us where the line was.”
“Phase 1 gave our transaction coordinators their afternoons back. That was the argument for everything that came after.”
Placeholder quotes pending customer approval.
Both, in that order. The Playbook is a structured product you get access to: the department map, the phase plan, the named agents, the risk overlay and the ROI models. Onboarding and advisory are the paid layer on top, where our team works with your leads to stand the first phase up. You can run the Playbook yourself if you have the internal capacity.
It is written for brokerages running roughly a hundred agents or more, or any operation with a dedicated compliance and operations function. Below that the department structure the Playbook assumes does not exist yet, and the sequencing would be heavier than the problem warrants.
No. Most of the map is platform-independent and much of it runs on tools you already own. Where the deal itself is concerned, contracts, signatures, compliance and the transaction record, claiOS is what we build on, and that is stated plainly rather than buried.
The assessment takes about two weeks. Phase 1 co-pilots are typically in production within 90 days of that, with the first named agents following inside the same quarter. Phases 2 and 3 depend on your data foundations, which the assessment grades honestly.
An executive sponsor, a named AI lead, and access to your CRM, MLS feed and transaction history for the assessment. Departments each nominate a lead. Without those, this becomes a document instead of a rollout.
Quarterly. Model capabilities and vendor pricing move faster than any annual plan survives, so the map, the tier recommendations and the cost ranges are refreshed each quarter and your team is briefed on what changed.
It depends on your size and how much of the rollout you want our team to run. We quote after the first call, once we know your agent count, transaction volume and how much internal capacity you have. The call itself costs nothing.
Forty-five minutes with our team. We will read your readiness, name the first three workflows worth automating and tell you what the sequence should be.
We will send a few times in the next few days, along with the short intake we use to make the session specific to your brokerage.