Cooking class in Chiang Mai
Students leave long WhatsApp thank-you messages but the site still has generic testimonials.
The workflow extracts the specific moment they loved and drafts a short approval-ready quote.
AI Workflows
Trust
Real customer phrases, drafted into testimonials
Twenty usable testimonials a year, drawn from words your customers already wrote.
The bottleneck isn't writing testimonials — it's collecting them with enough specificity. The workflow harvests what customers already said, in their voice.
Best fit
Built for the small businesses where this task repeats.
This is not a generic chatbot. It is a narrow workflow around work your team already does every week.
Spas and wellness studios
Gyms and trainers
Cooking classes
Clinics
Tour and activity businesses
Use cases
Where this shows up in a Thailand business.
Spa in Phuket
Reviews mention calm staff, pressure, and ambience in scattered language.
Patterns become service-page proof points and testimonial drafts tied to the right treatments.
Gym in Bangkok
Clients send progress messages privately but public proof stays thin.
The workflow drafts respectful quote options and sends them for customer approval before publishing.
Manual today
The work still depends on memory.
Good customer words stay buried in reviews, chats, emails, and post-visit replies.
With the workflow
The draft or signal is ready first.
Real phrases are surfaced, shortened, and sent for approval so the website gains believable proof.
How it works
Simple enough for a busy owner to keep using.
The workflow is designed around approval, not blind automation. AI prepares the work; your team keeps control.
Step 1
Connect review platforms (Google, Facebook), email replies, or a post-visit survey.
Step 2
Workflow mines patterns across the last 50+ replies and flags specific moments customers keep mentioning.
Step 3
Same workflow drafts a clean 28-word testimonial line in the customer's voice from their actual reply.
Step 4
Send the draft to the customer for approval. Eight out of ten approve as-written.
Included
- Testimonials drawn from real words, not invented
- Customer approval flow keeps GDPR and trust intact
- Goes from 3 usable testimonials a year to 20+
Owner concerns
We do not want fake testimonials.
The workflow only uses customer words that already exist, then asks for approval before publishing.
Our customers write messy replies.
That is normal. The workflow finds the useful phrase and drafts a clean version without inventing the sentiment.
Questions
Plain answers before we build.
Are these real testimonials?
Yes — every line is drawn from a real customer reply, with the customer's approval before it goes on the page.
What if customers don't approve?
About 8 out of 10 do. The ones who don't usually want a small edit, which we run by them again.
Can it pull from voice notes?
Yes. WhatsApp voice notes, post-visit recorded replies, audio survey responses — all transcribed and processed.
Next step
Start with one workflow. Grow into a system when it earns the weight.
If this starts touching inventory, staff, dashboards, customer history, or several locations, move into a custom AI system.
Reviews
Review Replies
Drafted in 30 seconds. Approved in 5. Posted without staring at a blank box.
See workflow →Social
Social Drafts
One useful weekly batch: drafted, queued, approved, then published.
See workflow →QR Kit
QR Menus
A mobile page customers can scan, read, and use without downloading anything.
See workflow →