An AI workforce for teams
A 10-seat team over one year. Every number is cited in chapter 07 or computed from an assumption you can edit in chapter 05, and the page recomputes when you change one. The totals count team dollar, the share of each commission that stays with the team after the agent’s split.
Modeled Annual Value Created
$308K
2,500
hrs/yr operating capacity returned (modeled)
+30
added sides modeled across the team
64×
modeled value vs workforce cost
6.2×
the modeled floor: return with zero added closings
Added sides and recruiting drive the headline number, and both are assumptions. The fourth tile strips them out. With closings, recruiting, the deferred hire, and leakage all set to zero, the modeled returned time would still cover the workforce cost 6.2×.
Every row ships today. All 10 seats run one playbook, and each outbound send waits for a person to approve it.
| Workflow | Runs | What it does | Feeds |
|---|---|---|---|
| Morning lead follow-up · Lucia | Daily | Sweeps each inbox + the CRM for leads needing a touch, drafts every check-in | Revenue |
| Daily briefing · Ren | Daily | Each seat opens to a ranked queue of pipeline, tasks, and approvals | Operating |
| Auto-prospect · Ivy | Weekly | Claims the likeliest sellers in each territory, proposes next steps | Revenue |
| Cold leads → warm · Scout | Weekly | Re-engages contacts across the shared book once they sit quiet for 90 days, grouped by source | Revenue |
| Listing health check · Alex | Weekly | Scores every active team listing against the market | Risk |
| Buyer watch · Ivy | Weekly | Re-runs each buyer search, surfaces new MLS matches | Revenue |
One playbook, always on
The recruiting platform (separate surface)
Workflows start across the first quarter, recruits land mid-year, and closings lag the pipeline that feeds them. The charts spread chapter 01’s annual buckets across that calendar to show when the value arrives. The months below play out the model’s assumptions, and a real year can run slower.
Months 1–3
Coverage
Every seat connects; inbox scans rebuild the shared database. Daily follow-up and briefings run from week one. By month 3 the whole book is on one cadence, including the contacts nobody worked.
Months 4–8
Conversion
In this scenario the first added closings land around month 5. The ISA opening stays unfilled while coverage holds. Early recruiting talks convert, and recruits onboard onto the playbook in days.
Months 9–12
Compounding
Checklists carry the handoffs. Each close triggers a referral ask and long-term nurture. The playbook you exit with, recruits included, is what starts year two.
What turns on when
Months after activation →
Figure 01 · Workflow activation timeline
Each row is a workflow from chapter 02, placed at the month a typical rollout turns it on. The dot marks the start.
Modeled value created per month
Figure 02 · Monthly value by bucket
Revenue, recruiting included, starts in month 4: a median 10-week search [8] plus contract-to-close sits between a worked lead and a commission. Capacity follows the ramp; the deferred hire and leakage start month 3.
Cumulative value vs cumulative workforce cost
Figure 03 · Cumulative modeled value vs workforce cost
Value = Figure 02, accumulated. Cost = $4,800/yr for 10 seats, spread monthly. Year one captures 94% of the modeled total ($308K) while the rollout ramps.
| Month | Revenue | Operating | Cost | Risk | Month total | Cumulative value | Cumulative cost |
|---|---|---|---|---|---|---|---|
| 1 | $0 | $744 | $0 | $0 | $744 | $744 | $400 |
| 2 | $0 | $1,364 | $0 | $0 | $1,364 | $2,107 | $800 |
| 3 | $0 | $1,859 | $5,783 | $2,083 | $9,726 | $12K | $1,200 |
| 4 | $7,360 | $2,231 | $5,783 | $2,083 | $17K | $29K | $1,600 |
| 5 | $13K | $2,479 | $5,783 | $2,083 | $23K | $53K | $2,000 |
| 6 | $18K | $2,479 | $5,783 | $2,083 | $29K | $81K | $2,400 |
| 7 | $20K | $2,479 | $5,783 | $2,083 | $31K | $112K | $2,800 |
| 8 | $22K | $2,479 | $5,783 | $2,083 | $32K | $144K | $3,200 |
| 9 | $24K | $2,479 | $5,783 | $2,083 | $34K | $179K | $3,600 |
| 10 | $24K | $2,479 | $5,783 | $2,083 | $34K | $213K | $4,000 |
| 11 | $26K | $2,479 | $5,783 | $2,083 | $36K | $249K | $4,400 |
| 12 | $29K | $2,479 | $5,783 | $2,083 | $40K | $289K | $4,800 |
The defaults rest on published figures, cited by number in chapter 07. Team dollar is the piece of each commission that stays with the team after the agent’s split, and it is yours to set. The default assumes $4,000 a side, with the agent keeping the rest of the gross commission.
32
sides closed by a typical 4-person team in a year [1]
$69,400
average ISA salary, 2025 [13]
$300–500
transaction coordination, per file [14]
42 hrs
average lead response across 2,241 firms [5]
The gaps a team playbook aims at
Why 3 added sides per seat is the default
+1 to 1.5 · follow-up coverage. Same-day response and 8-touch persistence on every lead, every seat[5][7]
+1 · the retention gap. The team’s whole book on a quarterly cadence[8]
+0.5 to 1 · prospecting. Weekly territory claims worked instead of skipped
Controlled studies measured gains of this order: +12.2% tasks done and 25.1% faster completion[10], with ~14% on average and 34% for novices[11]. New seats are where a shared playbook helps most.
The build-vs-buy line
Teams buy this coverage with headcount: an ISA at ~$69,400[13], transaction coordination at $300 to $500 per file[14]. The default defers one ISA hire and nothing else, against a workforce cost of $4,800/yr for 10 seats. If you would never have hired, zero the line in chapter 05.
Every assumption sits here. Recruiting enters the total as 2 recruits at 8 first-year sides each, under the median 9[1], valued at your team dollar. The 10-side baseline sits above the 8 a typical team averages[1]. Set yours.
Editable assumptions
Modeled added team dollar
$120Kfrom the existing roster / yr
Today: 100 sides → $400K team dollar
Recruiting production
$64Kincluded in Revenue Growth
Counted once; chapter 06 shows it as its own line
Return on the workforce
64×modeled return multiple
Modeled zero-closings floor: 6.2× from returned time alone
Bars scale to the total. The three roster rows split one computed figure by assumption; recruiting and the rest are computed.
Composition of the total
$308K / yr
* The 45 / 35 / 20 split of the roster’s added team dollar is an assumption. Leakage recovered counts deals already in the pipeline that would have fallen through; database reactivation counts new business from quiet contacts. Keep the two apart when you enter your own numbers.
Roster revenue
Seats × added sides × team $ / side
Recruiting production
Recruits × first-year sides × team $ / side
Time returned
Seats × hours/week × 50 weeks × loaded $/hour × capture %
Deferred support hire
Deferred hires × salary. Default: one ISA [13]; loaded cost runs higher
Leakage recovered
At-risk sides recovered × team $ / side
Return multiple
Total modeled value ÷ annual workforce cost
About these numbers: every dollar figure on this page is a hypothetical estimate computed from the assumptions shown, including the editable defaults. The figures are illustrations. They are not a promise, a projection, or a guarantee of any earnings or outcome, and they do not describe typical results. Actual results depend on your market, your adoption, your effort, and conditions this model ignores, and some customers may see smaller gains or none. Cited third-party studies measured other settings and carry no guarantee here. Nothing on this page is financial, legal, or tax advice.
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