Assistant in the admin app
Ask your club in your own words
It answers with numbers from your club data and a link to check them, finds what needs attention today and drafts messages your team sends.
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AI assistant · 1 minute
How the assistant answers and what it finds
What the assistant does
Ask in your own words
Active clients, debtors, half-empty classes — no filters or exports.
Numbers from your database
Never invented; each answer shows the data and period it read.
A link to check it
The same list in the admin app, filtered and sorted.
Finds what needs attention
Overdue payments, expiring memberships, regulars who stopped coming, half-empty classes.
Drafts messages, people send them
Drafts wait in the inbox; nothing goes out by itself.
What it looks like
A demo on the sample club «Molecule 42».
You
Which classes are half empty this week?
- Reading data: club and branches
- Reading data: class fill rates
Assistant
This week 6 classes out of 56 are half empty: fewer than half of their seats are booked. All of them at the «Molecule 42 Creek Harbour» branch.
Class Booked of seats Fill Mobility LabMolecule 42 Creek Harbour · Ben Carter 4 of 16 25 % Mat PilatesMolecule 42 Creek Harbour · Mei Lin 5 of 16 31.3 % Reformer FoundationsMolecule 42 Creek Harbour · Sofia Petrenko 4 of 10 40 % How this was calculated
The tools the assistant used to read the data
- class fill rates · This week · rows: 56
You
Who owes more than 700?
- Reading data: debtors
Assistant
5 debtors owe more than AED 700.00, AED 5,544.00 in total. The top three are in the list below.
Contact Debt Owing since Anjali MenonMolecule 42 Creek Harbour AED 1,598.00 11 Oct 2026 Charlie SmithMolecule 42 Creek Harbour AED 999.00 2 Nov 2026 Radhika DasMolecule 42 Creek Harbour AED 999.00 9 Nov 2026 How this was calculated
The tools the assistant used to read the data
- debtors · rows: 5
The model received the labels «[K1], [K2], [K3]», not the names: the name was substituted by the staff member’s browser, and only for someone allowed to see that client.
Client personal data
Names, phone numbers, e-mail addresses and access codes never leave the system. The model gets only amounts, dates, counts, plan names, client tags, the engagement score and labels such as «[K1]».