Data that holds up under scrutiny.

Everyone can get an answer out of AI now.

Far fewer can tell you whether that answer is true, where it came from, and whether you were ever licensed to use it.

That gap is where the cost hides, and closing it is the whole of what I do.

Start with an assessment

Two questions decide whether you can trust your data.

Is it true, and are you cleared to use it. Most of the market answers neither with rigor. I answer both.

Is it true? On the first, I measure accuracy against a known standard and trace each record back to where it came from, so the number you rely on is one you can defend in a review. That is the discipline behind 25 years in data infrastructure and two patents in data lineage: define what good means, measure it, keep a person in the loop where it counts.

Are you cleared to use it? I bring the discipline that keeps your market data spend aligned to your business needs and your budget. I review and negotiate vendor and market-data agreements, rationalize entitlements, and keep everyday usage compliant, work I have done from the inside. And because bought data carries risk, I price the exposure: what a stale feed, unclear provenance, or a license you cannot defend costs you when someone asks.

Modern AI is the tool that makes this practical for one senior operator to deliver, not the pitch. What you get back is data whose integrity is measured, traceable, and defensible.

We don't just advise. We build.

One discipline runs under all of it: turning messy documents and data into records you can trust. Three ways to put it to work.

  • Pull structured data out of your hardest documents, contracts, statements, filings, invoices, and get back a measured accuracy rate you can defend. Fixed scope, clear deliverable, a build-or-buy call at the end.

  • A buyer-side look at the outside data you pay for, the rights you hold, and the risk it carries. I find where you are overpaying or over-licensed and hand you the leverage for your next renewal. Where IT requires it, this includes a vendor risk assessment of your sources: accuracy, provenance, and licensing you can put in front of an auditor.

  • Records that were accurate last year go quietly wrong. I reconcile your records against reliable sources, surface what has broken, and give you a prioritized fix. The natural place to start.

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