Credit decisioning software for your own policy
Credit decisions sit in application code or behind vendor change requests. Decisimo runs your policy as one decision flow for the risk team to change and test first.
One consumer loan application through the credit policy
Application to endpoint
Bureau and fraud data
Policy knock-outs
Affordability functions
Application risk score
Credit policy table
Replay policy change
Your credit policy, run as one decision flow
- Bureau and fraud APIsThe lender’s REST or SOAP calls return JSON or XML
- Failed-call detailsA rule can read the error flag and HTTP code
- Lender’s modelCall it over HTTP or upload a Python, R or Julia model
The outcome comes back with its reason
- Policy outcomeThe table returns approve, decline or refer, with a limit, rate or term
- Plain-language reasonEvery table row writes the reason for its outcome
- Test runSee each scorecard bin and its points, then the table row that fired
See what a change does before it ships
- Impact analysisCompare the current release with a changed one over past decisions or a file
- Changed decisionsSee which decisions differ between the two versions
- Decision mixCompare approve and decline, and the amount lent, side by side
How a policy change goes live
- Saved revisionsCompare or revert revisions and releases, and rerun saved cases
- Challenger strategyThe lender’s system sends a split value to route each application
- Endpoint releaseWhen an endpoint has an approval sequence, deployment waits for its signature
When the policy refers an application
A referred application goes to an underwriter for individual application review.
Questions we get asked
What is credit decisioning software?
Credit decisioning software runs a lender’s policy on application data and returns an outcome such as approve, decline or refer. Decisimo runs the lender’s decision flow and returns the outcome with a limit, rate or term and a reason.
Can we use our own bureau data and scoring model?
Decisimo calls the lender's bureau and fraud providers and can call a lender's model over HTTP or run an uploaded Python, R or Julia model. It supplies no data or scores of its own.