Solutions · AI-driven decisioning

Approve more of the right applicants - with the audit trail already written.

Underwriting is where risk appetite meets a live applicant in milliseconds. DecisionX runs custom models and strategies in real time - every decision explainable, documented, and within the guardrails your second line approved.

The problem: better models exist, but they can't reach the decision.

Most institutions underwrite on generic bureau scores and hand-recoded rules - a better model waits months in validation and IT recode, and by go-live the portfolio has already moved.

Real-time decisioning at the application

Bureau pulls, internal history, and alternative data resolved to features at the point of decision - sub-second, at production volume.

Custom scorecards & ML models

Build in Model Studio on approved datasets, evaluate challengers in one click, and deploy with no recode - what risk approved is what runs.

Champion / challenger strategies

Route traffic between strategies, measure swap-in/swap-out sets and loss performance, and promote the winner with the evidence attached.

Explainability & adverse action

Reason codes, adverse-action documentation, and a self-documenting audit trail on every decision - defensible to auditors and regulators.

Proven where underwriting is hardest.

The same governed pipeline runs at institutions from Tier 1 banks to credit unions - with up to 20% loss control from tighter risk signals, and approval rates up because good applicants stop timing out in queues.

Up to 20%

Loss control from tighter signals.

Higher approvals

Good applicants stop timing out.

Across institutions

Tier 1 banks to credit unions.

See underwriting decisioning end to end.

From application to approved - on a governed pipeline, live in the demo.

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