Regulatory Compliance
Where you stand against supervisory expectations, what has changed since you last looked, and the self-assessment your supervisor expects to receive.
The framework around your models and the regulation they answer to.
Where you stand against supervisory expectations, what has changed since you last looked, and the self-assessment your supervisor expects to receive.
The framework around the whole model estate: what counts as a model, who owns it, how it is validated and what the board sees.
The first question for a bidder is how they establish what counts as a model at all. At Gini we do that across decisions, management information and regulatory reporting, then write the standards for how models are built, validated, approved, build the inventory and lifecycle reporting behind it, validate independently against performance and intended use, and extend the framework to cover generative AI.
Yes, and the separation is the point. Gini validates against performance, intended use and supervisory expectations, and where we validate we don’t develop. Findings are written so your model committee can act on them, with the severity stated and the work each needs named.
If a generative system informs a decision, a management information figure or a regulatory report, it belongs in the framework. At Gini we extend it, setting out how these systems are identified, tiered, tested, approved and monitored.