Overdue invoices, chased on their own
Every overdue invoice followed up automatically, in the company's tone, escalating when it needs to, stopping the moment it's paid.
| Invoice | Customer | Overdue | Amount | Status |
|---|
- Industry
- Building-materials distribution
- Agent
- Invoice chase
- Engagement
- Scope → Build → Operate
- Status
- Live
The AR team spent hours each week chasing overdue invoices by hand. Follow-ups slipped, the tone was inconsistent, and cash came in later than it should have.
They needed something that knew exactly who owed what, followed up on a sensible cadence, and never chased an invoice that had already been paid.
What the agent does
- 1
Knows who owes what, today
Pulls live receivables from the accounting system and ranks them by age and amount, so the right invoices get chased first.
- 2
Follows up in your tone
Sends the right reminder at the right moment, matched to the customer relationship.
- 3
Escalates, then stops
Hands the stubborn cases to a human, and stops the instant an invoice clears so nobody gets chased by mistake.
- 4
Every touch logged
A full trail of who was contacted, when, and what was said. Fully auditable.
What changed
“It never chases an invoice that's already been paid.”
Chasing overdue invoices through the accounting system, escalating when needed, stopping the moment one is paid.
More agents in production
Complaints watcher
Complaints caught across every channel before they reach a public review. Routed to the right person with a reply already drafted.
Read case study →Inquiry → quote
Inbound inquiries answered, qualified and quoted in minutes, while the deal is still warm.
Read case study →Document processing
Receipts, invoices and statements read, coded and filed. Invoice versions tracked, no manual data entry.
Read case study →Reconciliation
Payments matched to invoices at volume, mismatches flagged and chased. Month-end closed in days.
Read case study →Order & fulfilment ops
Orders moved across systems, stock checked, exceptions handled. Fewer dropped orders and far less manual ops.
Read case study →