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Agentic AI · Case study

The receivables agent: cash comes back sooner

It prioritises, writes, escalates and proposes decisions — you just approve.

The challenge

Collections runs on people's calendars: reminders go out in batches, escalations get lost in email, and the biggest debtors queue up with the smallest.

What the agent does

The agent analyses receivables continuously, writes personalised reminders tuned to the client and history, escalates on Teams to the right people, and proposes decisions — like order blocks — executing them once approved.

Microsoft Teams · Receivables
Mientha Assistant · AI agent
Client X: 3 invoices 14+ days overdue, PLN 640k in total. I've sent a personalised reminder to their payables team; account owner in copy. I propose holding new orders above the limit — your call?
Hold the orders and book a call for the account owner tomorrow morning.
Done. Orders above the limit are on hold, a 10:00 invite is in the calendar, and a client brief is in the meeting notes.

Business benefits

Why boards buy this

  • Priorities by risk and value, not list order
  • Correspondence written in context, not from a template
  • Teams escalations to the right people, instantly
  • Works 24/7 — including while the team sleeps

Impact on results

  • Lower DSO and fewer overdues
  • Account owners get context, not homework
  • Every action fully auditable
UiPath Microsoft Teams Human-in-the-loop

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