Provenance Data Risk Partners was founded by Navin Ahuja, a specialist in data quality assurance for the insurance sector with direct experience designing and auditing data control frameworks that deliver confidence in the data across major insurance firms. That experience exposed the same gap, firm after firm: most organisations don't actually trust their own data, and in a regulatory climate where data carries more weight every year, they would struggle if a genuine audit landed tomorrow.
We help you close that gap and build the kind of assurance that holds up when someone looks closely - not the appearance of it.
"The most dangerous position is not knowing your framework is inadequate. It is believing it is adequate - and finding out otherwise during a regulatory review."
A discovery call takes 30 minutes. It gives you an honest, independent assessment of where your framework stands and where the most material gaps are likely to lie.
Most reviews start at the top of the framework and work down: policy first, governance structure second, then a sample of controls checked for evidence they were operated. We start at the data itself. Where does the risk actually sit. Is the primary control positioned upstream, where it can catch something before it becomes a finding, or is it a summary-level check standing in for one that was never built. It takes longer than reading a control register. It is also the only way to know, before an auditor does, whether the answer holds.
What your auditor is looking for, and what to do before they arrive. The five questions auditors ask, the three places frameworks usually break, and a self-assessment to run before the audit begins.
A control framework that tells you what you already wanted to hear is not providing assurance.
It is providing reassurance - and reassurance is considerably less useful when something goes wrong.
Responsible for the quality and integrity of critical data, but working with frameworks that were built before the current regulatory environment. Provenance Data Risk Partners gives you a defensible, auditable foundation.
Facing regulatory reviews where the gap between a control that exists and a control that works becomes acutely visible. You need a residual risk position you can actually defend - not one that reflects optimism.
Whose outputs - capital models, regulatory returns, financial statements - are only as reliable as the data flowing into them. A framework built by Provenance Data Risk Partners gives you traceability from use case back to source.
Charged with providing independent assurance over data controls - but finding that the frameworks you are asked to assess were not built with auditability in mind. We design frameworks that give second and third line something real to work with.
Start with the Guide to a successful data audit. Then let's have an honest conversation.
No obligation. No sales pitch. Just clarity from someone who has built and audited data control frameworks to ensure that data can be relied upon with confidence.