Give your AI product a receivables brain
Monk exposes live AR over MCP, the open Model Context Protocol. Partner with us and your agents, copilots, and assistants can answer and act on receivables, backed by agents that already collect cash in production.
Finance asks AI about cash. Most AI cannot see it
85% of finance teams have deployed AI. Only 7% can point to hard dollar ROI (Gartner, 2026). An assistant that cannot see balances, aging, or payment status cannot help where the money is. Monk gives your product that context and the agents to act on it.
The results behind the connection
Teams like Profound and ElevenLabs run their receivables on Monk.
Ask, act, and stay open
Monk is built on MCP, so it plugs into Claude and any MCP-compatible tool. Your product gets live receivables context and the actions to go with it.
Query balances, aging, and DSO
Check payment status
Draft follow-ups
Summarize accounts
Prep for customer calls
AI on the money path, done safely
Your users bring the questions. Monk brings live data, production agents, and the guardrails finance teams require.
Open standard
Built on MCP, so one connection works across MCP clients as they ship.
Live data, existing permissions
Queries run against Monk data under the permissions your user already has.
Never trains a model
Nothing is exported into the model or used for training.
Auditable by design
Every message, match, and ledger entry is traceable, with a deterministic check before anything reaches a customer.
Your product, our agents, one connection
You own the interface and the user. We bring the receivables data, the collections agents, and the controls behind them. Your users get answers and outcomes on cash without leaving the product they work in.
Specific results, on the record
Grew cash on hand by 122% in its first month.
DSO cut nearly in half; collections more than doubled in month one.
1–30 day AR aging down 85%, 90–120 day down 43%, live in under a week.
Monk has transformed how we manage AR collections - automating the most time-consuming parts of the process while remaining incredibly easy to use and track. Beyond the platform itself, Monk is a true partner.
Frequently asked questions
Who is the AI-native product program for?
Teams building AI agents, copilots, and assistants for finance and operations users. If your users ask about cash, customers, or invoices, Monk can give your product the answer.
What is MCP?
Model Context Protocol, the open standard that lets AI tools read from external systems. Monk exposes receivables over MCP, so an MCP client can answer AR questions against live data.
Which AI tools does Monk work with?
Any MCP-compatible tool. Monk works with Claude today. The same connection works with other MCP clients as they ship.
Is financial data secure?
Yes. Queries run against Monk data under existing permissions. Nothing is exported into the model or used for training. Monk is SOC 2 Type II compliant.
Can our product take action, not just read data?
Yes. Beyond answering questions, Monk can draft follow-ups, summarize accounts, and prep for calls, with the same audit trail and checks as the rest of Monk.
How do we get started?
Become a partner and tell us about your product and users. We will scope the connection and how Monk shows up inside your product.