Use case / embedded finance
Regulatory simulation for embedded finance platforms
Embedded finance concentrates regulatory consequence in places the platform does not always control: the partner bank, the programme structure, the end customer’s own status.
Reglator simulates platform decisions as they actually are — a change to a product, a partner or a customer segment — and shows the potential consequence across the whole structure rather than one entity at a time.
Who this is for
Institutions that carry the decision
Regulatory simulation is used by the people who own the decision, not only the function that documents it.
Vertical SaaS platforms adding financial products
Banking-as-a-service programme managers
Marketplaces handling funds flow
Platforms serving regulated end customers
Decisions tested
The questions this answers
Should we add accounts, cards or lending?
Each product carries a different consequence profile for the same platform.
Should we change programme structure?
Who is the regulated party, and what does the platform then owe?
Should we serve a new customer segment?
The customer’s own status can change what the platform is doing.
Should we take more of the flow in-house?
Moving up the stack usually moves the regulatory position with it.
Regulatory delta
What tends to move
A Regulatory Delta is the potential change in the institution's regulatory position resulting from the decision. These are the areas that most often move here.
- Activity
- What the platform is doing, in regulatory terms.
- Structure
- Which entity holds which responsibility.
- Dependencies
- What the position relies on the partner to maintain.
- Oversight
- What the platform must be able to evidence.
- State exposure
- Where the structure creates state-level scope.
- Judgement
- Where structure makes the answer specialist.
What this decision puts in motion
Launch an embedded finance or BaaS programme.
Product & engineering
Programme architecture depends on which party holds the regulatory permission.
Partner dependency
Bank and platform contracts encode responsibilities that are expensive to renegotiate.
Operating model
Oversight, complaints, reporting and third-party risk obligations shift between parties.
Management time
Product, legal, compliance and operations are committed for the length of the programme build.
Timing
Programme launch slips when responsibility allocation is revisited after contracting.
These are capital and execution exposures created downstream of a regulated decision — not costs Reglator guarantees to remove. Simulation is intended to identify where regulatory consequences create capital, time and operating dependencies before execution.
Outputs
What you receive
- A view of consequence across the platform, partner and end customer together
- Which structures achieve the objective with the smallest regulatory delta
- Evidence of what was tested before a programme change
- Sharper diligence answers for partner banks
Decision library
Related decisions
Common questions
Questions this page answers
Whose regulatory position is being simulated?
Usually more than one. Embedded structures spread consequence across the platform, the partner and sometimes the end customer, so the simulation reflects the structure rather than a single entity.
Can this support partner-bank diligence?
Yes. Institutions use simulation records to show what was considered and why a structure was chosen.
Further reading
Other use cases