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Use case - Banks & Lenders

Show clients their repayment future, live in the meeting.

Advisers explain rate scenarios with printouts and hand-waving. Economics teams write notes nobody interactively explores. The gap between your house view and what a client actually feels in their budget is where trust leaks.

What you get

White-labelled scenario widgets for adviser desktops and client portals
Repayment, stress and borrowing-capacity outputs on your product parameters
House-view presets: load your economics team's rate path as the default scenario
Embed API for app and web banking surfaces

Those are enterprise deployment capabilities. What runs free at policysandbox.ai today is the full engine - 132 modelled variables, 342 causal relationships and 21 named households - on a demo baseline rather than live published series. Read the methodology or open the sandbox to see exactly what the model does and does not cover.

A working week with PolicySandbox

ScenarioA client asks what happens if rates rise 100bp. The adviser drags the lever: repayment on their actual loan size, stress threshold, and refinance break-even appear instantly - branded, compliant, on your rate sheet. The conversation ends with a fixed-rate review booked.

Why it stacks up

1000s covered
Adviser seats
white-label
Client tools
<50ms
Recompute

See it with your own numbers.

Enterprise deployments run on your data, your elasticities and your brand. Start in the public sandbox, then talk to us about a pilot.

Launch the sandbox