Beauty & Salons · Estheticians & Skincare Clinics

AI Agent for Pre-Treatment Actives Screening

Tells clients which products to stop and when, days before a peel or resurfacing treatment, and escalates every answer to the esthetician.

Start from this template
Edit it — the agent is built from this briefBuild this agent
How it works
1 Step
Send when it applies
2 Step
Check before the appointment
3 Step
Escalate the answer
The agent counts back from the appointment and sends your list of products to stop on the day the stop period begins.

Overview

What an AI agent for actives screening is, and why the timing is not negotiable.

An AI agent for pre-treatment actives screening is a 24/7 digital assistant that tells clients which products to stop before a peel or resurfacing treatment, checks compliance ahead of the appointment, and escalates every answer to the esthetician for a decision. This is a timing problem with a burn on the other side of it. Retinoids, acids and certain exfoliants have to be stopped several days before a resurfacing treatment, and a client who used her usual serum the night before is not a minor complication — she is someone whose skin will react far more aggressively than intended. Estheticians know this and tell clients at booking, which is often three weeks before the stop date. Nobody remembers an instruction that becomes relevant three weeks later. Sending it on the day it applies is the entire intervention.


Capabilities

What the Pre-Treatment Actives Screening Agent does

Sends the stop instruction when it applies, checks compliance, escalates the answer.

01

Sends your list of products to stop, on the day the stop period begins

02

Repeats the instruction closer to the appointment where you configure it

03

Asks before the appointment whether the products were actually stopped

04

Escalates every answer to the esthetician rather than deciding anything

05

Flags appointments where actives were used inside the window

06

Records what was sent and what the client answered

Why you should use the Pre-Treatment Actives Screening Agent

The instruction is not the problem — every clinic gives it. The delivery is: it is given at booking, weeks before it matters, verbally, alongside a lot of other information. A message that arrives on exactly the day the client needs to stop using her retinoid, naming the products, is read and acted on. And asking about compliance two days before the appointment means a client who did not stop is identified while the treatment can still be modified or moved, rather than while it is being applied.

Before
The stop instruction is given at booking, weeks before it applies
Clients use their usual actives the night before a peel
Non-compliance is discovered mid-treatment, or after the reaction
Nobody records what the client was told or when
Estheticians modify treatments on the spot with incomplete information
After
The instruction arrives on the day the stop period starts
Compliance is checked before the appointment, not during it
Non-compliance is flagged in time to modify or move the treatment
There is a dated record of the instruction and the client's answer
The esthetician makes the decision with the facts in front of her
Process

How it works

A three-step flow that runs in the days before a peel or resurfacing.

Step 01

Send when it applies

The agent counts back from the appointment and sends your list of products to stop on the day the stop period begins.

Step 02

Check before the appointment

A day or two out it asks whether the products were stopped as instructed, in your own wording.

Step 03

Escalate the answer

Every reply goes to the esthetician — compliant or not — and any non-compliance is flagged so the treatment can be reconsidered before the client arrives.


Example

Example workflow

A realistic peel booking where retinoids should have stopped five days out.

Scenario: a clinic requiring clients to stop retinoids and acids five days before a peel was relying on a verbal instruction at booking. The agent now sends the list on day five, repeats it on day two, and asks on the day before whether everything was stopped. A client replies that she used her acid toner two nights ago because she forgot. The agent does not advise, modify or cancel — it flags the appointment and escalates. The esthetician reviews it that evening, switches her to a gentler treatment for that visit and books the peel for four weeks later. Nobody finds out mid-application.

Missed-Call & Booking Automation Twilio SMSWhatsApp BusinessFreshaEmail AI Agent flow

Audience

Who can benefit

Clinics giving the stop-actives instruction verbally at booking and hoping.

✍️ Skincare clinic owners

The pre-care instruction you already give is arriving three weeks before it matters.

💼 Estheticians

You know about non-compliance the evening before rather than with product on the skin.

🧠 Clinic managers

There is a dated record of what was sent and what the client answered.

Clinics doing peels and resurfacing

This is where non-compliance produces an actual injury rather than a poor result.

🎯 Solo estheticians

Nobody else is going to send a reminder five days out on your behalf.

📋 Clinic receptionists

The stop-actives instruction is yours to give and yours to be blamed for missing.

Integrations

Sends the instruction on time and records what the client confirms.

Twilio SMS

Delivers the timed stop instruction and the compliance check.

WhatsApp Business

An alternative channel where clients can also photograph their products for the esthetician.

Fresha

Provides the treatment and date the countdown is calculated from and stores the answers.

Email

Carries the longer pre-care document alongside the short timed messages.

Google Sheets

Tracks instruction delivery and compliance answers across upcoming appointments.

Applications

Best use cases

The treatments that cannot safely proceed if actives were not stopped.

Sending the stop-actives instruction on the exact day it applies
Checking compliance the day before a peel
Flagging non-compliance in time to modify the treatment
Keeping a dated record of pre-care instructions
Handling different stop periods for different treatments
Preventing a reaction caused by a forgotten serum

FAQ

FAQ

Questions about screening for actives without a phone call each time.

An AI agent for pre-treatment actives screening is a 24/7 digital assistant that tells clients which products to stop before a peel or resurfacing treatment, checks compliance ahead of the appointment, and escalates every answer to the esthetician for a decision. It fixes the timing of an instruction clinics already give.

That is your protocol and it varies by treatment, product strength and client — commonly several days for retinoids and acids. The agent counts back using the period you configure per treatment; it does not have a view of its own about what the period should be.

No. Every answer goes to the esthetician, including compliant ones. Whether a client who used an acid toner two nights ago can still have a peel depends on the product, the concentration and her skin, and that judgment belongs to a professional looking at her.

That is escalated as a non-answer rather than treated as compliance. Where the channel allows it, she can photograph the products and the images go to the esthetician — the agent does not read ingredient lists or make a call about what counts as an active.

No. It flags them. Modifying the treatment, moving it or proceeding with adjustments are all options an esthetician might take, and the choice depends on details the agent does not have.

Only from a list you have written and approved. Anything about a specific product not on that list goes to the esthetician, because product advice is skin advice.

Yes, dated — what was sent, when, and what the client answered. That matters if a reaction occurs and the question of what the client was told comes up afterwards.


AI Agent for Pre-Treatment Actives Screening

Tells clients which products to stop and when, days before a peel or resurfacing treatment, and escalates every answer to the esthetician.

Start from this template
Edit it — the agent is built from this briefBuild this agent