€40k+ recovered in 90 days. No manual follow-ups written.
AI-powered overdue invoice recovery that writes follow-ups in the founder's voice and adapts to debtor behavior.
The state we found.
A services company with €120k in active overdue receivables had stopped chasing anything under €5k. The founder wrote the heavy ones himself at 9pm. Junior staff were uncomfortable doing collections.
The result: 60+ day aged receivables grew quarter over quarter, and €40k of recoverable money was sitting in limbo.
What we built.
We built an AI agent that pulls each unpaid invoice with its full email thread history, drafts the next follow-up in the founder's voice, and adapts tone based on prior responses. Drafts go to a daily review queue — Slack approval sends them.
- 01Nightly sync of unpaid invoices from the accounting system into Airtable
- 02For each debtor, fetch the full email thread history via IMAP
- 03OpenAI generates a follow-up draft using the founder's prior writing samples as voice context
- 04Tone classifier on the previous reply (defensive, ignoring, partial-pay) selects the right escalation register
- 05Daily Slack digest with one-click approve / reject / edit
- 06Auto-pause on debtors who paid or replied in the last 48 hours
92% of support tickets resolved without a human.
Book the call. Bring the bottleneck.
30 minutes. No deck. We either see the automation in your process — or we tell you it is not worth building.