Use cases

AI finance agent — invoices, expenses, and the money chase

An AI finance agent runs the follow-through layer of company finance: chasing overdue invoices by email and live phone call, collecting missing receipts and expenses, reconciling records across tools, flagging spend anomalies, and prepping month-end. Arlo does this from your Slack or text thread — nothing money-adjacent moves without approval, and every action is audit-trailed.

Finance work in most companies is two different jobs. One is judgment: what to spend, how to price, when to raise. The other is pursuit: the invoice at day 45, the receipt nobody submitted, the subscription that doubled quietly, the numbers that need assembling every month-end. The pursuit job is relentless, procedural, and mostly about not forgetting — which makes it ideal work for an AI agent, in the one domain where "the AI did something unexpected" is least acceptable. So the design constraint comes first: everything money-adjacent is approval-gated, and everything is logged.

What Arlo pursues

  • Receivables, actually chased — polite reminder at due date, firmer at 15, a live phone call at 30 when email stops working. Escalation on your schedule, every touch logged, and you approve the tone tiers once instead of writing each email.
  • Expenses and receipts collected — the monthly hunt for receipts becomes Arlo pinging each person in their own thread until the pile is complete, matched, and filed.
  • Records that reconcile — invoices, payments, and the spreadsheet/books kept consistent across your tools among 3,000+ integrations — including finance portals with no API, worked through a secure browser session.
  • Anomaly flags in plain language — "software spend is up 40% this month — here are the three new charges" beats discovering it at quarter-end. You set the thresholds; Arlo watches them daily.
  • Month-end prep — the assembling, categorizing, and chasing-of-missing-pieces that eats the first week of every month, done before your accountant asks.
  • Answers from your thread — "what's outstanding over 30 days?" "what did we spend on contractors this quarter?" — asked in Slack or a text, answered from your actual records.

The guardrails are the product

Arlo doesn't move money. It chases, records, reconciles, flags, and drafts — and anything consequential (a payment instruction, a customer-facing escalation, a record correction) waits on your approval. Every action lands in a full audit trail: what was sent to whom, what changed, who approved. For finance work that trail isn't a feature — it's the reason you can delegate at all.

Frequently asked questions

What does an AI finance agent do? Chases invoices by email and phone, collects expenses and receipts, reconciles records, flags spend anomalies, and preps month-end — with approvals on anything consequential and a full audit trail.

Can it actually call customers about overdue invoices? Yes — Arlo places real calls with the tone you approved, logs the conversation, and records the outcome. It's the escalation step that email-only tools can't take.

Does it move money or make payments? No. It pursues, records, and drafts; payment execution stays with humans. That boundary is deliberate.

Does it work with my accounting stack? Arlo connects to major finance tools among 3,000+ integrations and can operate portals with no API through a secure browser session. Check the in-product list for your specific stack.

Will it embarrass us with a customer? Every outbound touch follows escalation rules you approved, and anything outside them waits on your sign-off. The audit trail shows exactly what was sent, when, to whom.

Last updated July 23, 2026