It works right up until it doesn't. Let's put a number on what it's costing you.
You've got a book that makes money. Good. Now the three questions that live in the back of your head and never make it into the board deck.
Running risk at a funder is a hundred fires and a thousand levers: the credit box, the stacking rules, the renewals, the ISOs, the facility covenants, the fraud of the month. Nobody puts them all out. And here's the thing most lenders learn the expensive way: a good chief risk officer, a good chief credit officer, and a good data scientist are three different people. The skills barely overlap. Most shops have one of the three and are asking that person to be all three. That gap is where we work.
Everyone selling you AI right now sounds the same, because most of them learned the words last year. Risk is the one place where AI slop costs real money: your losses, your facility covenants, your business. This is where gray hair matters more than it ever has, and between us we've earned every one of them. Fifty-plus years in risk management and data science, most of it in credit.
You bought the bureau add-on. The bank-statement vendor. The new rule after the bad quarter. Each one was a reasonable bet, and the answer came back two years later as a loss curve with a story attached. The problem was never that you tried things. It's how long you wait to find out. We shorten that to weeks, and we show it in dollars.
We start where you are. Your credit box, your rules, your vendors, your people all stay. Nobody's selling you a new wheel. Your score isn't broken; it's nearsighted, and the fix is the one you get in the optometrist's chair: same eyes, better lenses. We take the data you already collect, the bank statements first, because cash flow is the one thing an applicant can't lie about, and grind it into a sharper score tuned to your book instead of somebody's average. Nothing gets ripped out. Nobody gets retrained. Your underwriters keep doing what they do; they just see further down the road. And before you buy any of it, we show you the lift on your own deals, in dollars.
Three rules we don't bend.
An hour. No slides. You tell us about your book and what keeps you up at night; we tell you where we'd look first. No charge.
Ours or yours. Nothing moves before it's signed.
Funded deals and how they performed, delivered to a locked machine. Not to a cloud, and never to an AI provider.
Where the lift is, by segment, in dollars you'd recognize, for a flat fee. If it isn't there, we say so, and you've spent an NDA and the fee.
If the number's worth it, we build it into your flow. You keep paying only while it keeps improving. That's the deal, and it's the only one we offer.
If you're an SBA lender, this isn't your room. That's a regulatory world we don't work in. If you're a bank with a deep manual underwriting shop, same answer: you're paying people to do what we'd automate, and you've decided that's the business. And if you're brand new with no history yet, let's talk, but later. We can't show you a lift on a book you don't have.
Bayesian Surprise is a risk and data science practice in Atlanta, founded by Dennis Carlson after twenty-five years building credit and risk systems at American Express, First Data, Equifax, and Verizon, and as chief risk officer of a small-business lender. We're the people lenders call when the score they have isn't the score they need.