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Solution · Finance & accountingPayments match themselves to members, and a robot does the reminding, not the receptionist
Memberships paid or paused
A robot reads the bank statement, matches payments to members and keeps membership statuses: paid, overdue, paused. Reminders go out politely and on time, and the money conversation stops being reception’s job.
Executive summary
Membership payments arrive as transfers with creative titles, cash and gateway payouts; matching them to members is manual work that loses to the daily rush, so arrears grow quietly.
The robot reads the statement, matches payments to members by title, amount and history, keeps membership statuses and sends reminders on your rhythm; access is paused by rules, not emotions.
Arrears fall because nobody forgets them; reception stops holding awkward money conversations; the owner sees weekly how many memberships are paid and how many hang.
bank statements and gateway reports; the member list; status rules; SMS and email reminders; a report in Microsoft Teams
Business problem
Entry works, payments do not
In a fitness studio revenue looks simple: members times membership price. Practice is less elegant: some pay by transfer titled “membership Kate”, some in cash at the desk, some through an online gateway, and some simply do not pay and keep coming, because the entry system knows nothing about payments.
Matching payments to members is manual statement work: someone has to sit down now and then, read the transfer titles, guess that “J.Smi training” is John Smith, and tick a spreadsheet. That work loses to everything more urgent, so it happens quarterly. That is when it turns out a dozen people have not paid for two months.
And here begins the worst part: someone has to ask. The receptionist, who sees these people three times a week, is supposed to tell them at the desk, in front of others, that they are behind. So she postpones. The owner postpones too, because they are regulars. The arrear grows, and the older it is, the harder the conversation and the more often it ends in quiet forgiveness.
Over a year this is usually a few percent of revenue handed not to clients in need, but to one’s own reluctance to have awkward conversations. Plus the statement hours, plus the sense that the firm’s numbers are “roughly right”.
How it works today
Below is what the work looks like before anything is automated.
- PersonSomeone sits down with the statement now and then and guesses whose payment is whose
- Risk of errorEntry works regardless of payment; the access system knows nothing of arrears
- WaitingArrears grow quietly until the quarterly spreadsheet clean-up
- PersonA reminder requires an awkward conversation at the desk, so everyone postpones it
- Risk of errorOld arrears end in quiet forgiveness, because the conversation got too hard
- Risk of errorThe owner knows revenue “roughly”; exactly, nobody does
Why the current process costs more than it appears
The bill that never shows up in a budget.
- A few percent of memberships unpaid in any month is, over a year, a real revenue leak, surrendered without a decision.
- Hours of manual payment matching are work that earns nothing extra; it merely reconstructs reality.
- Awkward money conversations damage exactly the relationships they were meant to protect; an automated message is polite and impersonal.
- A fresh arrear is a reminder; a three-month arrear is a conflict or a write-off.
Cost of inaction
The first row is the arrears outstanding at any moment; not all are lost, but each hangs longer the later it is noticed. The second row is pure statement labour, easy to count at home.
The model assumes most arrears are not bad will but forgetting plus the absence of a reminder: which is why the first message is polite, and pausing access comes only after a sequence whose rules you set yourselves.
A model organisation with realistic proportions – the numbers exist so you can run the same maths on your own data; they are not a client result.
A fitness studio with group classes: 480 active memberships averaging €39, card-based entry, payments by transfer, cash and a gateway, Microsoft 365.
Payment matching done quarterly at clean-up time; arrears then surface in bulk.
Reception avoids arrears conversations; the owner forgives regulars; nobody knows the exact scale.
The entry system is not connected to payments; the card works regardless of the balance.
The robot reads the statement and gateway reports daily, matches payments by title, amount and history, updates membership statuses; past the due date a polite text goes out, a second after a week, after two the “paused” status reaches the entry system or reception’s list; unmatched payments become a short list for a manual click.
In the modelled case arrears fall from 6% to about 1.5%, and money conversations at the desk all but disappear. Model numbers, not the studio’s records.
Proposed solution
We start with your rules: how many days after the due date the first reminder goes, when the second, when a membership becomes “paused” and what that means in practice: a card block where the entry system allows it, or a line on reception’s list where it does not. The rules are yours; they can hold exceptions, for example members with individual arrangements.
The robot fetches the bank statement and gateway reports daily, matches payments to members by transfer title, amount and payment history, and what it cannot match with certainty it sets aside on a short list for a manual click. Membership statuses update by themselves: paid, overdue, paused, with dates and amounts.
Reminders go out punctually and politely, in your tone: the first message assumes forgetting, not bad will. Reception stops being collections; it only gets the status list for the shift. Once a week the owner sees the numbers: paid, overdue, paused, recovered after reminders, and the trend he used to know “roughly”.
UiPath Orchestrator: a daily schedule, a payment queue, retries and an audit trail; UiPath Integration Service connectors for Microsoft Teams and Outlook 365; the SMS gateway you already use
Versioned status and reminder rules, payment matching with an uncertainty list, message sequences, the reception list and a weekly owner report
Bank statements (export or API), payment gateway reports, the member list in SharePoint; the entry system via API where it offers one
How the automated process works
- AutomationThe robot reads the statement and gateway reports daily; payments match by title, amount and history
- PersonUncertain payments land on a short list for a manual click
- AutomationMembership statuses update by themselves: paid, overdue, paused
- AutomationReminders run in sequence: a polite text, a repeat, a pause by the rules
- SystemThe pause reaches the entry system or reception’s list; exceptions live in the rules
- PersonThe owner sees weekly: paid, overdue, recovered after reminders
Human-in-the-loop model
Automation handles
- Daily payment matching and status updates for every membership
- Reminder sequences and pauses by the written rules
- The weekly report: statuses, arrears, reminder effectiveness
People decide
- The rules: due dates, the reminder sequence, the definition of a pause, individual exceptions
- Conversations with members in atypical cases and decisions on instalments
- Pricing and offer decisions; the automation watches payments, it does not set the price list
Before and after
Systems and integrations
The stack is short on purpose: one engine, one execution layer, one place where a person decides.
Inputs
- bank statements (export or API)
- payment gateway reports
- the member list with prices and due dates
- status rules and exceptions
Automation layer
- UiPath Orchestrator
- UiPath Robots
- UiPath Integration Service
- UiPath Action Center
Target systems
- live statuses of all memberships
- sent reminders with history
- the reception list and weekly report in Microsoft Teams
Human touchpoints: the uncertain-payments list for a click; the weekly owner report; a quarterly rules review
Technologies used
the daily schedule, the payment queue, retries, a record of every status change
Areception lists, owner reports, email to members
Athe member list and status register with history, no new system
Areminders; we work with the gateway you already use
Bautomatic card pausing where the system allows it; otherwise reception’s list
BIllustrative economic model
Numbers you can check against your own data.
The model assumes most arrears vanish after the first reminder, because they were forgetting; it does not assume recovering everything. Prices and volumes belong to the scenario; your own numbers go into the calculator alongside.
Run the maths on your data
An illustrative estimate based on your inputs. It models freed capacity, not promised savings.
Business benefits
- Arrears stop growing quietly; the reminder always goes out, and on time
- Reception goes back to greeting people; the system does the asking
- Payments match daily, so the firm’s numbers are current, not quarterly
- Regulars get a polite reminder instead of a growing debt and a conflict
- The owner sees the arrears trend and reminder effectiveness weekly
The management view
- Membership revenue becomes a known quantity rather than an estimate
- The payment policy is written and applied evenly, which is fairer to members too
- Growing membership does not grow statement work or the number of hard conversations
Board-level KPIs
share of memberships overdue · arrears recovered after the first reminder · time from due date to first message · payments unmatched automatically · revenue lost to arrears
Security and governance
The automation has exactly the permissions it needs. Not one more.
- The robot works on a minimal data scope: member, amounts, dates and statuses; no training data
- Every status change and every message has a record: what, when, from which rule
- Payment data is visible to the owner and those he designates; reception sees statuses only
- You approve the tone and content of messages; individual exceptions are honoured
- Data stays in your Microsoft 365 tenant; the robots run in the EU region of UiPath Automation Cloud
Why now
Studio margins are under cost pressure; a few percent of revenue lost to arrears stopped being negligible.
Members pay in ever more ways: transfers, gateways, subscriptions; manual reconciling will not catch up.
Chain gyms have paused access automatically for years; members know the rule and consider it normal.
Relevant executive roles
Revenue stops leaking, and the numbers are current weekly, not quarterly
No more debt collecting at the desk; a status list and courtesy remain
Gets a reminder before the arrear grows into a conflict
Common questions and objections
Experience says the opposite: what puts people off is ambiguity and a growing debt both sides know about and neither mentions. A polite message a day after the due date reads as professionalism, especially since the first one assumes forgetting. And exceptions, such as individual arrangements, are written into the rules and honoured.
If it matches bank and gateway payments, reminds and pauses, you are covered. Usually the module waits for someone to mark the payment manually. The automation ties the bank, the gateway and the club system into one daily process; the club system remains the place where the status shows.
And they still can: a cash payment recorded at reception enters the same register, just through a different door. The reminder sequence works identically; only the source of the payment information differs.
When this is not the right solution
- A club of a few dozen members the owner knows personally: a spreadsheet and honesty suffice
- Payments exclusively by auto-renewing subscription: the problem largely does not exist
- Expecting hard debt collection: the automation reminds and pauses; disputed cases stay with people
A question for the next management meeting
How many memberships are overdue right now, for how long, and who knows about it besides the spreadsheet?
Implementation approach
Scope without ambiguity, before anything is signed.
We deliver
- Written status, reminder and pause rules with exceptions
- Daily matching of bank and gateway payments with an uncertainty list
- SMS and email reminder sequences in your tone
- Integration with the entry system, or reception’s list
- A weekly owner report and two weeks of parallel running
We need from you
- Access to statements (export or API) and gateway reports
- The member list with prices and due dates
- Approved message templates and pause rules
Stages
Discovery
Payment channels, the scale of arrears, the current reconciling process
Rules
Due dates, the reminder sequence, the pause definition, exceptions, templates
Build
Payment matching, statuses, sequences, entry integration, reports
Parallel run
Two weeks: the robot counts, the spreadsheet runs alongside, we compare
Go-live
Statuses take over the truth about payments; a review after a month
A quick win. The largest variable is the bank’s and entry system’s interface: exports work everywhere, an API shortens the road.
Quarterly clean-up: fourteen people have not paid for eight weeks. All train regularly. Nobody knows how to start the conversation.
Send us three months of statements and the member list. We return the arithmetic: how much hangs overdue today, how much a reminder sequence would recover, and how many hours of manual reconciling disappear.
Check how many memberships are overdue todayThe neighbouring process usually has the same problem
Evenings burst at the seams, mornings stand empty, and the price list has been one for years.
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