Platform · front office

A CRM that shares a data model with your ledger

Most companies run a CRM and an accounting system that know nothing about each other, joined by a nightly sync that breaks quietly. erp.io puts pipeline, quotes, orders, and invoices on one graph — so a closed deal becomes accounting without an integration in the middle.

Qualify34 open$1.24MDiscovery21 open$980KProposal13 open$610KContract7 open$385KClosed won4 open$212KSales orderInvoiceJournal entrya won deal becomes accounting, automaticallypipeline · same graph as the ledger
No sync to breakQuote to cash in one systemWorks alongside Salesforce or HubSpot

What it does

Everything a mid-market sales team actually uses.

Not a Salesforce replacement for a 400-person enterprise sales org. A CRM sized for a company between $10M and $150M, where the same twelve people touch the deal and the invoice.

Accounts and contacts

One customer record, used by sales, delivery, and finance. When AR changes a billing contact, the account executive sees it — because there is no second copy to fall out of date.

Pipeline and forecasting

Stages, weighted value, and close dates that a CFO can reconcile against the revenue forecast, because both are computed from the same objects.

Quotes and proposals

Built from your real price book, with approval routing on discount thresholds. An accepted quote becomes a sales order without rekeying.

Contracts and renewals

Term, value, escalators, and renewal dates feed revenue recognition schedules directly rather than being re-entered into a spreadsheet each quarter.

Activity and history

Calls, emails, meetings, and documents attached to the account — visible next to that account’s payment behaviour and open balance.

Agent-assisted

The AR agent knows a customer is mid-renewal before it sends a dunning notice. That single piece of shared context is what separate systems cannot do.

Why one data model matters more than one login

Every CRM on the market integrates with every accounting system on the market. That is table stakes and it is not what this is about. The problem with integration is not that data fails to move — it is that two systems hold two definitions of the same thing, and the definitions drift.

Your CRM has an account called Northwind Trading Co. Your ledger has a customer called Northwind Trading Company, plus a second one called Northwind (do not use)that someone created in 2023. The sync matches on name, so it created a third. Now your pipeline report and your AR ageing disagree about how much this customer is worth, and reconciling them is a person’s afternoon every month.

This is not a hypothetical failure mode. It is the single most common data problem we find during an integration engagement, and it is structural: two systems, two schemas, one fallible mapping between them.

An integration moves data between two truths. A shared model means there is only one.Which is why the AR agent can know a customer is mid-renewal.

What a shared model unlocks

Once the account, the contract, the invoice, and the payment are the same objects rather than mirrored copies, several things stop requiring engineering work:

  • Sales sees credit risk. An account executive opening an opportunity sees the customer’s open balance, ageing bucket, and payment behaviour — without a report request.
  • Finance sees pipeline. Cash forecasting uses weighted pipeline as an input directly, rather than a monthly CSV that is stale the day it arrives.
  • Revenue recognition starts at the contract. Term, value, and performance obligations are captured once, at signature, by the person who negotiated them.
  • Agents share context. The AR agent will not chase an invoice on an account where an upsell is in contract stage — because it can see that, not because someone wrote a rule.
  • Commission is calculable. On collected revenue rather than booked revenue, without a reconciliation exercise.

If you already run Salesforce or HubSpot

Most of our customers do, and we do not ask them to switch. This is worth saying plainly because a page like this usually ends in a migration pitch.

Salesforce and HubSpot are better CRMs than ours for teams that have invested years in them — the customisation, the reporting, the integrations, and the habits are real assets. What we do in that case is read them into the business graph, so the ledger side gets the context it was missing, and the CRM keeps doing what your team already knows how to use.

The customers who do adopt our CRM tend to be the ones running a fragmented set of tools — a pipeline in a spreadsheet, quotes in a document template, contracts in a drive folder — rather than the ones running a well-configured Salesforce instance. That is the honest dividing line, and we will tell you which side of it you are on.

A deliberate limit

We do not build territory management, complex quota hierarchies, CPQ for configurable products, or partner relationship management. Those are enterprise sales-ops problems and the systems that solve them are worth their price. If you need them, keep your CRM and connect it.

Questions

What people ask first.

Is this a Salesforce replacement?
For a fragmented stack, yes — pipeline in a spreadsheet, quotes in a template, contracts in a folder. For a well-configured Salesforce instance with years of customisation, no, and we will say so. In that case we integrate rather than replace, and the ledger gets the context either way.
Does it work if our ledger stays in QuickBooks?
Yes. The CRM writes quotes and orders into the business graph, and invoices flow into whichever system holds your books — QuickBooks, NetSuite, Sage Intacct, Acumatica, Dynamics, Odoo, or Xero.
How does this affect revenue recognition?
Contract terms captured at signature feed ASC 606 schedules directly, rather than being re-entered by finance from a PDF. That single handoff is where most rev-rec errors originate.
Can agents act on CRM data?
Yes, under the same authority model as everything else. Common Level 1 and 2 uses are drafting renewal quotes, flagging accounts where an upsell conflicts with a collections action, and preparing pipeline commentary for the board pack.
What about marketing?
Campaigns, journeys, scoring, and attribution live in marketing automation, which shares the same graph. Attribution resolves to closed revenue in the ledger rather than to a CRM stage.

One customer record, end to end.

See what your pipeline looks like sitting next to your ageing, your contracts, and your margin — on your own data.