Regulatory Gap Assessment
We test current practice against supervisory expectations and hand you the prioritised list of gaps, each with the work it needs and the order to do it in.
Insurance Regulatory
Compliance
Where you stand against supervisory expectations, what has changed since you last looked, and the self-assessment your supervisor expects to receive.
Regulatory Compliance Deliverables
Regulatory Advice
We advise independently on the requirements in front of you: conduct obligations on your product set, changes to the solvency framework, and how compliance is built into how the firm operates.
Regulation Update Tool
A monitoring service, built on our Beacon platform, that tracks the supervisors and publications relevant to you and reports what has changed and what it now requires.
Regulatory Self-assessment
We write the full self-assessment across every requirement, evidencing where you comply and where you do not, in the form your supervisor expects to receive it.
Frequently Asked Questions
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The deliverable is evidence rather than a framework document, so ask what a bidder leaves running. At Gini we build fair treatment and vulnerable customer models, the explainability evidence for AI used in pricing and claims, and the controls mapping that shows which control addresses which obligation, with monitoring that evidences the outcome quarter after quarter.
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By measuring outcomes for the customer groups the rules name, using data you already hold, and reporting them to your committee on a schedule. Price, claims acceptance and complaint outcomes are compared across groups, and where a difference appears Gini quantifies it and traces its driver rather than describing the process that produced it.
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Only if you cannot explain what they do. At Gini we attach the drivers behind each decision, test whether those explanations hold when a decision has to be given to a customer, and test outcomes across the protected and vulnerable groups the FCA expects you to monitor. Where a variable improves accuracy and cannot be justified to a declined customer, it comes out before the model is built.
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Often, yes. Payment behaviour, contact history and claim interactions carry signals of difficulty before a customer discloses it. Gini builds the flag, defines which treatments it changes, and states plainly what the model cannot see, since a framework that overstates its coverage creates exposure rather than removing it.