Looking for CRM reports for your finance team? Usually the need is not another Excel export. Finance wants to see what sales is negotiating before it turns into an invoice. In most companies there is a gap between the CRM and the accounting system, and the revenue estimate for the next three months falls right into it.
The work nobody wants
End of the month. The finance lead needs a cash flow estimate, so she emails sales. A salesperson exports opportunities from the CRM into a spreadsheet. The columns are named differently from last time, and half the deals have sat in “proposal sent” for six months. Finance then matches CRM companies to customers in accounting by hand, crosses out dead deals and recalculates the probabilities.
The result is a spreadsheet nobody fully trusts. Sales feels finance is lowballing their numbers. Finance feels sales is padding them. By the time it gets sorted out, the data is a week old and the whole round starts again.
“Could you send that export one more time, but with the signing date this time?”
— Quarterly planning, abridged
What connected actually means
Claude gets access to both sides: sales opportunities in the CRM, and issued and paid invoices in accounting. Not through a copy of the data, and not through a shared admin account. Through small MCP servers, one for the CRM and one for accounting. Think of MCP as a standard connector: an agreement on how AI asks a system a question and what it is allowed to get back.
Every request carries the identity of the person asking. The finance lead sees the whole pipeline, because she already sees it in the CRM today. The head of one sales team sees only that team. Claude reads the data at the moment of the question, keeps it in no database of its own, and builds the answer from the current state.
Concretely: Raynet and Pohoda
A typical Czech company: sales works in a CRM such as Raynet or Pipedrive, accounting works in Pohoda. Both systems stay. Nothing is migrated and nobody learns a new tool. A bridge is added. For a company with twenty salespeople and a few hundred open opportunities, setup is typically a matter of days, not months (an illustrative estimate).
- matches a CRM company to a customer in Pohoda by IČO, the Czech company ID, rather than by a name spelled differently in each system
- reads the stage, amount and expected close date of every open opportunity
- compares them with history: how long each customer usually takes from signature to invoice, and from invoice to payment
- flags deals that have not moved in a long time and never counts them silently
- builds a monthly view in three layers: certain (invoiced), probable (signed), possible (in negotiation)
To illustrate: a manufacturing firm in Brno, eight salespeople, one finance lead. On Monday morning she asks Claude: “How much money will likely come in during July and August, and which three deals move that number the most?” The answer links to specific opportunities in the CRM and invoices in Pohoda, so she can open any figure and check it.
What an AI report from your CRM will not do, and why that is good
Claude does not decide whether a deal will close. It does not know that the customer's director left last week, or that a salesperson promised a discount on the phone. The estimate is only as good as the data in the CRM. If salespeople do not update their stages, Claude can show that clearly, but it cannot fix the habit for them.
It posts nothing to accounting, issues no invoices and changes no probabilities in the CRM. It reads, calculates and explains. Decisions about budget, credit lines or who to call about a late payment stay with a person. That is exactly why it can be trusted: every number has a trail back to its source, and nothing in your systems changes without people knowing.
What it would take
It starts with a short conversation: which CRM you use, which accounting system, and who should have access to what. Then we build two small MCP servers and deploy them on your own cloud, with your sign-in and a single audit trail showing who asked what. Once finance has a report it likes, we save it to the skills library, so next month anyone with the right permissions can run it. No year-long project, no new data platform.
What's left
The model is not what companies are missing. Claude can calculate a weighted pipeline and explain why the estimate moved since last month. What it lacks is access to the data you already have, at the right scope. That gap is what we close.
Write to us. A short call is enough to find out whether your CRM and accounting can be connected, and how much work it would take off your finance team.