A borrower-facing layer your risk team can actually approve.
You are a financial institution under GLBA, so buying software that touches borrower NPI is a diligence exercise before it is a product decision. Clarity is built for that review: controls documented, subprocessors published, and a compliance roadmap you can read before you ask for it.
What this actually costs you today
Vendor review stalls the rollout
Every week a questionnaire sits unanswered is a week the deal does not move.
Borrower data ends up in unmanaged spreadsheets
When the sanctioned tool cannot model the scenario, the LO builds it somewhere you cannot see.
No visibility into what the borrower was actually shown
Which becomes an examination problem, not just a coaching one.
The parts that matter for this
Single sign-on and centralized seat management
Provision and deprovision through the identity system you already run.
Access audit trail on borrower records
Who viewed which borrower and when, which is the log an examination asks for.
White label and custom domain
Client-facing output carries your institution, not ours.
Deterministic calculation engine
Payments, amortization, and closing costs are computed and tested, never generated by a language model.
Documented controls and subprocessor list
Published before you ask, with an honest status on each one.
The outcome you are buying
- A diligence packet that is ready on day one
- Borrower scenarios inside a governed system
- One consistent client experience across the footprint
Enterprise. Scoped to seat count, identity requirements, and branding.
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