How Jump cut days to pay by 62% while automating collections across thousands of monthly invoices with Monk

The AI platform for financial advisors automated collections across roughly 4,000 Stripe invoices a month and went live in under two weeks.

The numbers

2.6x
faster payments. Average days to pay fell from 13.3 to 5.1, and 76% of customers individually paid faster
75%
hands-off. Three in four paid invoices were collected with no human involvement
94%
reduction in AR aged 61–90 days since go-live

About

Jump is the AI platform for financial advisors. It turns client meetings, emails, and documents into notes, CRM updates, follow-ups, and audit-ready compliance records, and supports more than 45,000 financial professionals. Jump serves independent advisors, enterprise wealth firms, insurance, accounting, asset management, and banking teams.

Business model

Product led, Sales led

Roles impacted

Finance, Accounting, Account Management

Core use-cases

Intelligent collections, Playbook workflows, Dispute management, Edge-case escalations, Multi-entity collections

Integrations

Stripe

Overview

Jump, the AI platform for financial advisors, partnered with Monk to automate accounts receivable (AR) collections across roughly 4,000 Stripe invoices a month. Jump grew quickly through self-serve, outbound, events, and partnerships. It bills through Stripe as its ERP. Most customers pay automatically, but enterprise accounts often need manual follow-up, and Jump’s lean, in-house finance team was carrying a long tail of older receivables from earlier customers. The team wanted to tighten DSO and automate collections without adding headcount.

Jump connected Stripe to Monk and went live in under two weeks. Monk’s AI collections agent now runs Jump’s collections across thousands of invoices a month, with playbooks built around invoice size, and routes disputes, high-value accounts, and relationship-sensitive conversations to the right person on Jump’s team.

Challenge

Jump’s finance team faced several challenges:

High volume, mostly small invoices

Roughly 60% of Jump’s invoices are under $300, alongside enterprise invoices worth tens of thousands of dollars. A single reminder cadence either over-contacts small accounts or under-pursues large ones.

A long tail of aged receivables

Balances from earlier customers had built up over time, and the team did not have the capacity to work through them one by one.

Generic reminders

Stripe’s automated reminder emails sent the same message regardless of amount or how overdue an invoice was, with no escalation and no way to handle a customer’s reply.

Relationships owned by account managers

Jump’s account managers own customer relationships, so collections needed to bring them in at the right moment rather than go around them.

Limited visibility

The team had no clear view of which conversations needed a person, which customers were disputing an invoice, or which accounts were starting to slip.

Our Solution

Jump deployed Monk’s Intelligent Collections on top of its existing Stripe billing, with no change to how customers are charged or how Jump receives payouts.

Live on Stripe in under two weeks

Jump connected Stripe and its billing inbox, and Monk ingested and validated its full invoice history. Monk’s agent began working the backlog of aged invoices first, then moved to steady-state collections.

Playbooks built around invoice size

Monk configured three collections paths. Small invoices get light-touch reminders. Mid-sized invoices get professional follow-up on a regular cadence. Larger invoices get active follow-up and are escalated to the customer’s account manager when they pass a set number of days overdue. Jump’s largest balances stay with its own team.

Disputes and exceptions routed to the right person

Monk detects disputes automatically and logs them with owners, status, and a full paper trail. Conversations that need a person, such as a dispute or a contact issue, land in a Needs Review queue, so the team works exceptions instead of reading every reply.

Early warning on at-risk accounts

Monk’s Payment Risk view flags customers whose payment behavior departs from their own history, so Jump can act before a slow payer becomes an aged balance.

Multi-entity support

When Jump launched separate Stripe accounts for Canadian and European customers, Monk set up both new entities and synced their data within days.

Ongoing optimization

Monk’s team meets with Jump regularly and analyzes its aging data to tune the playbooks, for example adding a final notice for small invoices that age past 60 days and a firmer escalation step for mid-sized invoices.

Within ten weeks, Jump’s customers were paying more than twice as fast, and the share of invoices that needed manual help fell from 14% in June to 6% in August as Monk’s agent took on more of the work. With Monk handling day-to-day follow-up, Jump’s finance team and account managers spend their time on the disputes and high-value accounts that need them, and the process scales with Jump’s growth across new entities and regions.

Automate collections with Monk