uFlow for compliance and audit teams
Every credit decision traceable and explainable, with the evidence ready for the regulator and the auditor.
Compliance doesn't ask whether the engine is fast, but whether it can prove why each decision was made and demonstrate it under examination. uFlow is designed so that evidence exists by default, not as an afterthought.
Traceability of every decision
Each transaction records the input, the sources queried, the rules applied, the exact version of the live policy and the outcome. Any decision is reconstructed with evidence, not someone's recollection.
- Input, rules and outcome of each case.
- Policy version tied to the decision.
- Transaction search by date or identifier.
Explainability and the two views of auditing
Explaining one decision isn't enough: you also need the policy's aggregate behavior. uFlow provides both views —the individual case with its reason codes and the panel of rates and reasons— that an auditor asks for to detect bias, calibration or failed sources.
- Reason codes: the why behind each rejection.
- Per-policy panel: volume, rates and reasons.
- The basis to answer a complaint or a review.
Policy governance and model risk
Automatic versioning keeps a record of every change and lets you reactivate a previous version under control. Scoring and ML models are governed within the same framework, with performance monitoring and drift alerts.
- Versioning and controlled reactivation.
- Role-based access control.
- Model monitoring with drift signals.
What it doesn't solve for you
uFlow doesn't define your credit policy or interpret the regulatory framework for you: it executes the policy your institution decides and keeps it auditable. The judgment is yours; the evidence and traceability come from the platform.
Everything you need to know
Can I reconstruct a months-old decision for an audit?+
Yes. Transactions are recorded with their input, the rules applied, the live policy version and the outcome, and are searchable by date, identifier or authorized variables, within the retention policy your institution defines.
How does it help detect bias in credit decisions?+
Through the aggregate view: the panel shows the distribution of rejection reasons, and if a reason disproportionately hits one segment it appears as a concentration the individual trace can't reveal. Bias is governed by measuring it.
Does the engine decide the credit policy for us?+
No. Your institution defines the policy; uFlow executes it, versions it and keeps it traceable and explainable. The platform provides the evidence and control, not the regulatory judgment.
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Transform your credit assessment process with the decision engine.