smartATOM

SmartRecover

Get paid without
chasing spreadsheets.

It reads your receivables Excel, groups what is owed and drafts the right reminder for each debtor. Finance approves before anything is sent.

app.smartatom.ai/recover/october
SmartRecoverOverviewDebtorsReminders42DisputesPaymentsSettingsTemplatesSuppression rules

October receivables

500 invoices · imported 6:04
DebtorNoteBalanceStatus
Kaveri Distributors3 invoices · reminder drafted₹4,82,000Draft
Coastline AgenciesPartial payment received₹1,64,300Reconcile
Deccan SuppliesReminder drafted₹2,31,900Draft
Illustrative data — sample debtors are fictional. Amounts verified by rules.
Category
FinanceCommon app
Built for
Distributorsand services firms
Delivery wave
CommercialWave 2 of 4
Approval
Financebefore every send

How it works

Nine steps.
One approval.

Rules handle the arithmetic, AI handles the reading and writing, and finance decides what leaves the building.

  1. 01Import ExcelUpload the receivables export exactly as your system produces it.You
  2. 02Map columnsAI suggests which column is customer, invoice, balance and contact.AI
  3. 03Validate balances & recipientsRules check totals, invoice IDs, duplicates and missing contacts.Rules
  4. 04Group by debtorInvoices are grouped and placed into ageing buckets.Rules
  5. 05Draft remindersTone-appropriate drafts cite the exact invoices for each debtor.AI
  6. 06Finance approvesThe batch is reviewed — exceptions listed — before anything is sent.Finance
  7. 07SendThrough authorised channels only, respecting opt-ins and suppression rules.System
  8. 08Track repliesDisputes and promise-to-pay dates are captured against the debtor.System
  9. 09ReconcilePayments, including partial ones, are matched and logged.Finance

Messy exports welcome

500 invoices.
Odd column names.
No problem.

SmartAtom suggests how your columns map, checks IDs, duplicates and missing contacts, and asks before it assumes.

Map columns

Column mapping

AI suggestion
Your columnSmartAtom fieldCheck
Cust NameCustomerMapped
Inv NoInvoice IDMapped
Bal AmtOutstandingVerified
Due DtDue dateMapped
Ph / EmailContact12 missing

Reminders

The right words
for each debtor.

Pick a tone. AI drafts it and cites the exact invoices. Nothing goes out until the batch is approved.

New reminder — draft
Toaccounts@kaveri.exampleDraft · needs approval
SubjectOutstanding balance of ₹4,82,000 — action requested

Dear Kaveri Distributors, our records show ₹4,82,000 outstanding across INV-2207, 2231 and 2240, now 61–90 days past due. Please arrange payment or confirm a payment date by [DATE]. Statements are attached for reference.

Cites INV-2207, INV-2231, INV-2240 · ₹4,82,000

What’s included

Everything a finance team needs to stop chasing from Excel.

  • Ageing buckets

    Outstanding grouped by days past due, per debtor.

  • Opt-ins & templates

    Channel consent and approved message templates.

  • Disputes

    Disputed invoices are held out of every batch.

  • Promise-to-pay

    Dates captured; reminders pause until then.

  • Suppression rules

    Paid, disputed or opted-out debtors are never contacted.

  • Partial payments

    Remaining balances recalculated by rules.

  • Activity log

    Every draft, approval, send and reply recorded.

  • Exports

    Hand results back to your accounting system.

How we’ll know the pilot works

  • A new organisation configures it without developer help.
  • Users complete the happy path and recover from bad or missing data.
  • Role-based access, audit events, notifications and export are tested.
  • AI output is labelled as a suggestion and can be corrected.

Works well with

Value is measured in pilots — less manual effort, faster completion, fewer exceptions. We don’t promise ROI without your data.

Bring this month’s receivables.
See the drafts.