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WORK · AI AGENT

Overdue invoice reminder agent

The agent reads your balance, understands where each invoice stands, and drafts the right reminder in the right tone. You approve, you send.

100% fictional data, real mechanism.
Demo video coming soon

You know the scene. You open your invoicing tool for something else, and there it is: an invoice twelve days past due. "I'll chase it tomorrow." Tomorrow brings a client call, a rush quote, a delivery problem. The invoice waits. Next week, it is still waiting. The money exists, it is invoiced, it just sleeps in your receivables.

Why follow-ups don't happen

It is not laziness. A reminder is never urgent today: it can always go out tomorrow with no visible damage. So it loses, every single day, against the customer on the phone and the order that has to ship.

Every manual reminder is also a micro-decision: which tone, what amount, how late. Too soft and you don't get paid. Too hard and you bruise a client you wanted to keep. That dilemma, multiplied by twenty invoices, wears people down. Postponing becomes the most comfortable call.

What the agent does

It comes down to three verbs: sort, write, pace. The agent reads the aging report and classifies each invoice by how late it is, four stages, from a courteous nudge on day one to a formal notice past sixty days.

For each invoice, it drafts the reminder in the tone of its stage. Not a generic template with a first name injected. At day 3, assume an oversight. At day 45, ask for a firm payment date. The same tool does not speak the same way to both.

The machine stops at drafts. Nothing goes out without you: sending stays with a human, the sorting and the writing move to the agent. Late-payment follow-up is a game of regularity, not intensity. A reminder at day 1, then day 15, then day 30 beats three months of silence followed by a furious email.

Try the interactive demo →

THIS KIND OF AGENT, ON YOUR REAL INVOICES

The same mechanism plugs into your billing, with your rules and your tone. Want to see what it would look like for you?