Lunos AI
AI agents that automate both accounts receivable and accounts payable — collections, disputes, cash application, and payment orchestration — for B2B finance teams.
🔗 Visit Lunos AI
Description
Instead of hiring two separate people, one to chase money owed to you and another to pay the bills you owe, Lunos gives you AI agents that handle both sides of that job, working through Slack, email, or its own app.
Lunos covers AR (collections, dispute resolution, cash application, invoice delivery) and AP, integrating with QuickBooks and NetSuite, accessible via Slack, email, or a web app. Pricing is transparent and tiered: Pay As You Go (0.3% commission on collections up to $5M, max 3 users), Growth ($15k/year for up to $10M in collectibles, unlimited users), and Enterprise (custom, for $10M-$1B+ in collections).
💬 Our review
The short version: Lunos stands out in this category for one simple reason — it actually publishes its pricing, down to a specific commission rate, which is rare among AI-powered AR/AP tools and makes it much easier to budget for before ever talking to sales.
Against Stuut (a close AR-only competitor with no public pricing) and Upflow (automation without full AI-agent autonomy), Lunos combines both AR and AP in one platform with genuinely comparable, published tiers — the 0.3% commission model on the entry tier is easy to reason about for a smaller company, while Growth/Enterprise scale for larger collectible volumes. The tradeoff of a commission-based entry tier is that costs scale with revenue collected, which can get expensive fast once you outgrow the $5M cap. <!-- ai-generated -->
💰 Pricing
📊 Global score
🤖 AI-enriched data
Pay As You Go 0.3% des encaissements (jusqu'à 5M$) ; Growth 15k$/an (jusqu'à 10M$) ; Enterprise sur devis (10M$-1md$+)
Pros
Couvre AR ET AP dans une seule plateforme
Tarification publiée et transparente
Accessible via Slack/email en plus d'une app dédiée
Cons
Le palier d'entrée facture une commission qui grimpe avec le volume
Plafond à 5M$ sur le palier le moins cher