Independent validation for every model your bank runs. AI-drafted findings, human-approved reports, examiner-ready evidence — in a fraction of the time.
Model charter → documentation audit → quantitative testing → effective challenge → report → RMCB sign-off. Enforced in the platform.
The Co-pilot drafts validation narratives with cited evidence. Human reviews, edits, approves. 10× cycle time vs. manual drafting.
Discrimination, calibration, stability, sensitivity, backtesting — the right tests for the model type, pre-configured.
AI builds a benchmarked challenger model. Poses credible challenge queries. Satisfies RBI MRM 2026 and SR 26-2.
AI cross-analyses methodology against implementation code. Flags every gap. Turns validation from reactive to proactive.
Validation report, model card, action-item register, audit trail — auto-assembled. RMCB-ready in three months per RBI MRM 2026.
Six-step validation pipeline with AI-drafted narratives, human review, and a regulator-ready verdict at the end.
Scope, tier & ownership confirmed
MDD, VR, assumptions reviewed
GINI = 0.72 · PSI = 0.08 · Backtesting
CRO approval pending
Illustrative workflow. Each stage produces an audit-trailed artefact. Co-pilot output is always human-approvable.
The findings register is the single source of truth for the MRC. Owner, severity, remediation deadline, evidence — all in one view.
Backtesting methodology not documented in MDD — remediated by developer, evidence attached.
Low-income segment: model discrimination weaker (KS 22.1 vs. 41.3 portfolio). Recalibration scheduled — 10 days remaining.
Feature-selection rationale for `credit_bureau_score_v3` not consistent with methodology PDF §4.2 — awaiting developer response.
See the full product — or explore related use cases.
Two ways to start. No sales-cycle overhead. On your premises or in your VPC.