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Workflow 10 of 10 · Realtor Workflow Library

Post-Close: Reviews, Referrals & Transaction Archive

From closing day to a past-client referral engine
What this workflow fixes
82% of sellers say they would reuse their agent, but only 23% do — a $7,500-per-referral gap caused by post-close follow-up systems failure, not service failure.

The workflow today

Read left to right. Each row is one role. AI badges mark where Gugubrand agents replace or assist human work.
ROLES PROCESS FLOW — LEFT TO RIGHT Agent TC Admin Marketing CRM Listing / Buyer Agent Transaction Coordinator Office Admin Coordinator System Yes — review posted No — re-ask up to 2x Out-of-state / deceased S10.1 · START Close loop & file archive S10.2 Status → Past Client S10.3 Day 0-1 congrats call & gift AI S10.4 Sentiment-aware review request S10.5 Review? AI S10.6 Repost review & testimonial card S10.7 Day 30 check-in task AI+ S10.8 Day 90 referral ask AI S10.9 Annual housiversary + equity update S10.10 Add to event mailing list S10.11 Add property to portfolio S10.12 · END Month 6 → sphere nurture (WF 5) EXIT Refer-out / suppress
AIAI Replace — agent owns this step
AI+AI Assist — human-in-the-loop
Regulated — requires legal review
Human bottleneck
Repetitive admin
Alternate / exception branch

Where Gugubrand AI agents deploy

Four AI interventions across four steps. Tinted rows touch regulated channels (TCPA or Fair Housing).
Step Step label AI capability Automation Difficulty Time saved Compliance
S10.4 Sentiment-aware review request Sentiment-aware review request automation — SMS thank-you with one-click review links; suppresses negative-sentiment asks Replace low 30 min/file + lifts review volume TCPA
S10.6 Repost review & testimonial graphic Testimonial graphic auto-generation from review text Replace low 30 min/review
S10.8 Day 90 referral ask Tailored referral message — copy scaled to relationship strength Assist low 30 min/file TCPA
S10.9 Annual housiversary + equity update Equity + market change narrative built from AVM data Replace low 4 hr/year per 100 clients Fair Housing

Executive summary

Where to start, what to wait on, and a realistic rollout order.
Highest-ROI intervention

Sentiment-aware review request

S10.4

S10.4 — Sentiment-aware review request automation directly attacks the ‘missing 59%’ of past-client reuse with low difficulty and an immediate review-volume lift.

Riskiest to automate

Housiversary equity narrative

S10.9

S10.9 — Annual housiversary equity narrative is the riskiest because AVM-driven valuation language sent to segmented past clients invites Fair Housing scrutiny and can be misread as advice on neighborhood demographics.

Implementation order

Three pilots, in sequence

S10.6 → S10.4 → S10.8

Pilot 1: Testimonial graphic auto-generation at S10.6 — low difficulty, no TCPA / Fair Housing exposure, immediate marketing payoff. Pilot 2: Sentiment-aware review automation at S10.4 with TCPA review of the SMS flow. Pilot 3: Tailored referral ask at S10.8 once the TCPA framework from S10.4 is in production.

Compliance note. AI intervention recommendations in this diagram are guidance, not legal advice. Any AI deployment touching lead communication (TCPA), listing copy or ad targeting (Fair Housing), or contract/disclosure/CMA generation (state real estate commission rules) requires review by a US real estate attorney before implementation. Time-savings figures are estimates based on industry sources; benchmark against your team’s actual data before quoting them externally.