CreditIntel · the first product from Hearth Advisory

Know which customers to worry about before the weekly review.

Before it turns into a fire drill. CreditIntel takes the customer and payment data you already have and turns it into a short review you can check: who changed this week, why it matters, and what needs deciding.

For the people who answer for the receivables. Credit and collections leaders, controllers, and finance chiefs at mid-sized companies that sell on terms.

the weekly question
  • Which customers changed this week, and by how much.
  • Why: using more of their limit, paying later, or sliding into the older buckets.
  • What that means for how much money is at risk.
  • Which names your committee should look at first.

Every number ties back to the system it came from. If one does not tie, the report does not get built.

The practice

A workflow automation practice. CreditIntel is the first product.

Hearth Advisory automates the recurring work inside finance and credit operations. The model is the easy part. The hard part is connecting live data, pulling in the context that sits in other systems, and leaving a result someone can actually check. That is the work, and it is what this practice does. Credit came first because it is the subject we know deepest.

More on who runs the practice, or how to make contact and what happens next.

How the review runs

Watch one review get built.

A quarterly re-check on the demonstration book: the analyst's side of the conversation on the left, the checking steps on the right. All of the data is made up on purpose.

demonstration portfolio · rescreen · synthetic data
AnalystRe-check the demonstration book. Same limits as last quarter.
CreditIntel48 customers, twelve months of history. Pulling what they owe, how old it is, how much of their limit they are using, and how they have been paying, straight from the systems that hold it. Then checking every number back against the source.
CreditIntelAll numbers tie. Five customers are over their approved limit, three of those with no decision on file about it. Money more than sixty days late is 10.1 percent of the book, up 2.7 points since March.
AnalystShow me the worst one and draft the note for the committee.
CreditIntelDrafted for you to review. Nothing here is a decision. You sign off, as always.
Read the connected systemswhat is owed · how old · limits
Check every numberit ties, or nothing ships
Compare against limits48 customers
Write the customer pages5 over limit · 3 undecided
Hand it to the analysta person decides

Synthetic demonstration data. No real company, customer, or client appears. The review proposes; the analyst decides.

Open the working screening desk

Runs on the same demonstration book. Every company, balance and rating in it is invented.

The first product

CreditIntel, in one paragraph.

CreditIntel connects the customer and payment data you already hold, enriches it with the context sitting in the systems around it, and puts an agent on the book. It screens the portfolio against your review rules and reports what changed and where. Every figure is recomputed from source and checked against it, and a review that fails that check is not delivered until it passes.

Why it works this way

Finance teams are asked to defend numbers they never had time to build.

Closing that gap is the whole job. Put the portfolio view together properly, tie every figure back to the system it came from, and hand it over in a shape a person can read, question and sign. The work prepares the judgment. Your credit professionals make it.

Start here

Start with one portfolio that is hard to explain.

Send a sentence about the portfolio and the system it lives in. You get the sample diagnostic and an honest read on whether this fits.