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AI agentThe 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.
Illustrative example · what the conversation looks like
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
Solutions in the library
The same process as an implementation plan
The agent page describes what the agent does. Library solutions describe the processes it works on, with a value model and an implementation plan.
DSO sits above target and every department has a theory. Measure how many days each step actually costs.
See the solution Finance & accountingInvoices chased before they turn difficultThe client pays after 40 days because nobody reminded after 14. Your cash sits in other people’s accounts, working for them.
See the solution Case studyCollections cases routed to the right person instantlyDelivered for FMCG clients
See the case studyWe deliver it through our service AI agents on Microsoft Teams.
The library describes this agent’s processes for industries including Manufacturing & industry, Retail & FMCG, Professional services & IT.