AI CRM Agent

AI CRM Agent — every client's story, updated automatically

Profiles enriched after every visit. Segments that update in real time. Churn alerts before a client disappears. Your team walks into every appointment prepared.

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The short answer

The AI CRM agent works your client base like a great practice manager: lifetime value and an engagement score on every profile, duplicate records detected and suggested for merge, churn predicted from each client's own visit rhythm, and rebooking nudges that go out before the relationship goes quiet.

2×
faster client lookup and context
−26%
client churn with early alerts
15%
more rebookings from smart prompts
0
manual data entry for profiles
What it does

AI CRM Agent capabilities

Auto-enriched profiles

Visit history, spending patterns, preferences, and treatment notes added after every appointment. Zero manual data entry.

Live segmentation

VIPs, churn risks, overdue rebookings, high-LTV, new clients — segments update in real time as data changes.

Churn prediction

Flags clients whose visit frequency drops below their normal pattern. You see the alert before they lapse.

Rebooking prompts

Surfaces clients due for their next treatment based on intervals and history. Sends a rebooking nudge automatically.

Client insights

LTV, visit frequency, preferred services, and engagement score — visible at a glance on every profile.

Duplicate detection

Matches name, email, and phone to find duplicate records and suggests merges for your approval.

How it works

Simple setup, runs on autopilot.

1

Client visits — profile updated with treatment details automatically

2

LTV, visit patterns, and preferences calculated in the background

3

Segments refresh in real time: VIPs, churn risks, overdue rebookings

4

Rebooking prompts reach your team or trigger automated messages

5

Churn alerts fire when a client misses their typical visit window

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Two numbers on every profile

Lifetime value — what the relationship has actually been worth across services, retail, memberships, and packages — and an engagement score built from recency, frequency, and responsiveness. Together they answer the questions that drive daily judgment calls: who gets the benefit of the doubt on a late cancel, who should hear about the new membership first, which quiet clients are worth a personal text. On the profile, not in a report you'd have to run.

Duplicates find themselves

Front-desk typos fragment histories — 'Cathy' books by phone, 'Catherine' books online, and suddenly half the visit history is invisible. The agent detects likely duplicates from matching phones, emails, and near-identical names, and suggests the merge; one click combines them with a full audit trail of what merged and who approved it.

Churn prediction from each client's own rhythm

A monthly facial client who's 7 weeks out is lapsing; a quarterly Botox client at 7 weeks is early. The agent learns each client's expected visit interval and flags the ones drifting past their own pattern — feeding win-back automations and the weekly digest with named clients while there's still time to act, not after the quarter closes.

Questions, answered

Everything you're wondering.

From observable behavior on the client's own record: how recently and how often they visit against their historical rhythm, whether they respond to messages, upcoming bookings, and membership status. It's deterministic and explainable — hover the score and you can see why it is what it is.
That's the point of it: instead of one global 'lapsed after 60 days' rule, the prediction keys off each client's own expected interval. The weekly-IV member and the twice-a-year laser client are measured against their own baselines, so the flags mean something for both.
It adds to it. Charting notes flow into the profile automatically. The system layers on patterns — visit cadence, spending trends, preferred services — that no one would track by hand.
It tracks each client's visit frequency and spending. When someone breaks their pattern, they're flagged as at-risk before they disappear.
Combine any mix of tags, visit history, spending, membership tier, and treatment type to build segments.
It matches name, email, and phone to find likely duplicates, then suggests merges for your approval.
Run your whole clinic in one place

See Gracero run your clinic.

A 15-minute demo: booking, payments, memberships, and the aesthetic layer, all in one platform.

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