Feature-level context
Describe the model's role, users, decisions, data, claims, safeguards, and target markets.
RegLayer for AI product teams
Map the regulatory questions, sources, dates, and actions around an AI product, model, feature, data flow, or customer workflow.
The operating problem
AI requirements depend on what the system does, who it affects, how decisions are made, what data is used, and where the product operates. The relevant perimeter changes as the feature changes.
How RegLayer helps
Describe the model's role, users, decisions, data, claims, safeguards, and target markets.
Separate requirements in force from proposed measures, guidance, and implementation milestones.
Translate research into product questions, documentation needs, owners, and issues that require deeper review.
A focused workflow
01Frame the decisionDefine the question, company facts, jurisdictions, and timeframe.
02Build the recordMap the relevant rules, movement, dates, uncertainty, and primary sources.
03Choose the next actionIdentify owners, dependencies, open questions, and where expert review is required.
Questions to answer
Does this feature change the company's regulatory perimeter?
Which product facts determine the answer?
What should be documented, changed, or reviewed before launch?
Decision Brief