Category / Regulatory Simulation
What is Regulatory Simulation?
Regulatory simulation is the process of testing how a proposed business decision could change a financial institution's regulatory position before that decision is executed.
The problem
Regulated decisions change regulatory position
Financial institutions constantly make decisions about products, markets, operating models, payments, digital assets, partnerships, custody and expansion. Each of those decisions can alter what the institution is permitted to do, what it must hold, how it must be structured and who supervises it.
The consequences are usually discovered after the decision has been made — when the cost of changing course is highest.
Legal analysis
Counsel reviews the question that was asked, not every option.
Compliance review
Focused on obligations the institution already carries.
Regulatory research
Static material assembled decision by decision.
Product assumptions
Design choices made before their consequences are known.
Operational analysis
Flows and dependencies mapped in isolation.
External counsel
Engaged late, per question, at cost and at pace.
Regulatory simulation
Ask one question instead of a hundred
If this institution makes this decision in this regulatory environment, what could change?
Input
Institutional context
What the institution is, does and relies on today.
Input
Regulatory environment
The federal and state environment the decision lands in.
Input
Proposed decision
The product, market or operating-model change being considered.
Output
Potential regulatory consequences
What could change in the institution's position.
Output
Decision options
Alternative configurations for the same commercial objective.
Output
Confidence and sources
Where the answer is firm, and where judgement is required.
Regulatory simulation is inherently multi-environment. Reglator is building commercially from the United States, with architecture designed for additional regulatory environments over time.
Where it applies
Decisions institutions bring to simulation
Decision economics
A regulatory decision is also a capital-allocation decision.
A financial institution rarely pays only for regulatory analysis. Once management decides to proceed, the institution may begin committing resources across Product, Engineering, Legal, Compliance, Finance, Operations and external partners.
The later a material regulatory consequence emerges, the more downstream work may already depend on the original assumption.
Without simulation
01
Decision
02
Regulatory assumption
03
Capital commitment
04
Implementation
05
Discovering a material change here is expensive
With simulation
01
Decision
02
Reglator simulation
03
Regulatory Delta
04
Compare options
05
Commit
Reglator doesn’t just sit upstream of compliance. It sits upstream of capital commitment.
Worked example
One commercial decision, many committed functions
A US payments company wants to add stablecoin settlement and wallet functionality. That’s one commercial decision. Implementation can involve all of the following.
Product
How should the wallet work?
Engineering
What needs to be built?
Legal
What regulatory structure applies?
Compliance
What controls could change?
Finance
What capital and implementation costs follow?
Operations
What custody, settlement or partner model is required?
Leadership
Should we proceed with this structure at all?
The expensive part is not asking these questions. It is discovering the wrong answer after implementation has begun.
Common questions
Questions this page answers
What is regulatory simulation?
Regulatory simulation is the process of testing how a proposed business decision could change a financial institution's regulatory position before that decision is executed. It combines institutional context, the relevant regulatory environment and the proposed decision to produce potential consequences and decision options.
How is regulatory simulation different from RegTech?
RegTech helps institutions manage regulatory obligations they already have. Regulatory simulation is applied earlier: it tests the potential regulatory consequences of a decision that has not yet been made. The two are complementary.
Who uses regulatory simulation?
Executive teams, product leaders, general counsel, compliance leaders and operations leaders at payments companies, fintechs, digital asset firms and banks — plus the investors and boards that review those decisions.
What business decisions can financial institutions simulate?
Adding a product such as stablecoin settlement or a customer wallet, entering additional US states, changing custody or money-movement models, changing a bank or programme partner, launching embedded finance or BaaS, and restructuring entities or permissions.
Why does regulatory simulation matter economically?
A regulated decision commits more than legal analysis. Once management decides to proceed, engineering, licensing work, external legal work, bank-partner integration and operating-model changes begin to depend on the original regulatory assumption. Simulating the decision first means those commitments are made with the regulatory consequences already on the table.
What does a regulatory simulation produce?
Potential regulatory consequences of the decision, alternative configurations that could achieve the same commercial objective, relevant areas for further investigation, confidence positions and sources, and the areas that warrant expert review.