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LedgerUp

LedgerUp builds AI agents for manual accounts receivable (AR) work. Its AI billing teammate, Ari, does the work that billing systems leave to people: reading signed contracts, creating and sending invoices, submitting invoices to procurement portals, following up on overdue payments, answering customer billing questions, matching payments to invoices, reconciling to the ERP, and keeping ASC 606 / IFRS 15 revenue recognition tied to the contract. LedgerUp meters usage itself or reads from the met

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47 reach 6 · trust 5 · quality 21 · freshness 15
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listed
llms.txt
https://www.ledgerup.ai/llms.txt
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31322 bytes
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#786371
Categories
AI and machine learning · Finance and payments
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:44:53.084Z
Last checked
2026-10-21T16:01:42.373Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T16:01:39.352Z. Cached copy · Source on ledgerup.ai

# LedgerUp
> LedgerUp builds AI agents for manual accounts receivable (AR) work. Its AI billing teammate, Ari, does the work that billing systems leave to people: reading signed contracts, creating and sending invoices, submitting invoices to procurement portals, following up on overdue payments, answering customer billing questions, matching payments to invoices, reconciling to the ERP, and keeping ASC 606 / IFRS 15 revenue recognition tied to the contract. LedgerUp meters usage itself or reads from the meter a team already runs (Stripe, Orb, Metronome, Chargebee), rates it against the signed contract, and reconciles usage, contract, invoice, and cash. Ari works natively inside Slack, Salesforce, HubSpot, Stripe, NetSuite, and QuickBooks, and asks a person to approve anything sensitive.

## What is LedgerUp?
LedgerUp builds AI agents for manual accounts receivable work: the invoicing, collections, portal submissions, billing questions, cash application, and revenue recognition that a billing system does not do and a finance team otherwise does by hand. Its AI billing teammate, Ari, does that work inside the systems a B2B company already runs, with the team approving exceptions in Slack. Underneath, LedgerUp is a revenue subledger with its own usage metering: it ingests raw usage events via API, warehouse sync, or native integration, deduplicates them, aggregates them, and rates them against the signed contract, then creates the invoice in Stripe, NetSuite, QuickBooks, or Sage Intacct. Where a team already runs a billing engine (Stripe, Orb, Metronome, Chargebee), LedgerUp sits between that engine and the ERP, reconciling what customers actually used and agreed to against what was invoiced and recognized. On Stripe, LedgerUp is a usage-based billing layer: it installs from the Stripe App Marketplace (https://marketplace.stripe.com/apps/ledgerup), rates usage against the contract, creates the Stripe invoice, and reconciles the payout. Its AI agent, Ari, automates the entire contract-to-cash process: parsing signed contracts, generating and reconciling invoices, catching unbilled usage and overages, chasing collections, submitting invoices to procurement portals, tracking ARR, and producing audit-ready revenue recognition schedules. LedgerUp operates natively inside Slack, Salesforce, HubSpot, Stripe, NetSuite, and QuickBooks — no rip-and-replace. Customers report 60% faster collections, DSO down 15 days on average, and 100+ hours saved per team each month. LedgerUp is SOC 2 Type II compliant, and most teams are live within a week.

## What is a revenue subledger?
A revenue subledger is a detailed system of record that tracks every billing and revenue event at the contract and customer level — usage, invoices, overages, deferred revenue, and recognized revenue — and reconciles them before they post to the general ledger. Unlike a billing engine, which meters usage and produces charges from a pricing configuration, a revenue subledger verifies that
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