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Why Audit-Ready Beats Audit-Survived Every Time.

Inside a 120-day remediation that turned three material findings into zero at follow-up.

In depth

Regulators Stopped Auditing Models. They Audit Pipelines Now.

01

SR 11-7 expanded.

Examiners now check the data your risk models eat, not just the math.

In shortnot just the math
02

dbt lineage covers transformation.

It does not cover the source side.

In shortIt does not cover the source side
03

What looks compliant in production is often unprovable to an examiner.

The detail

The 120-Day Remediation That Closed The Gaps.

01

Fourteen source systems and seven transformation layers got machine-readable lineage from raw to feature.

02

Tier 1 change management replaced informal pipeline edits, with audit logs and governance committee approval.

03

The Result: feature-level monitoring on 38 fraud features, including 8 the team hadn't tracked before.

Deep dive

Audit-Ready Is Cheaper Than Audit-Survived.

01

Banks with provable lineage move product approvals through committee in weeks, not quarters.

02

Audit-ready infrastructure protects revenue.

The bank's $4.2M expansion stayed on track.

03

Logiciel's Audit Readiness Engagement runs the gap analysis, builds the lineage export, and stages remediation in 90 days.

04

Download the Whitepaper and Book Your Gap Review

By the numbers

The figures that make it a board-level conversation.

3
0 Findings
14:1
ROI
$4.2M
Revenue Preserved
Inside the report

What you'll take away.

01

End-To-End Lineage

Source-system to feature, machine-readable for any examiner.

02

Tier 1 Change Management

Change request, staging test, peer review, governance approval, audit log.

03

Feature-Level Observability

Automated row count, null rate, distribution, and freshness monitoring.

Questions

Frequently asked.

Who should read this whitepaper?

CTOs and Chief Risk Officers at banks, lenders, and other regulated firms preparing for SR 11-7 model risk reviews, OCC examinations, or internal audit committees. It's equally useful for VPs of Data accountable for the lineage and monitoring evidence those exams now require.

What changed about regulatory exams?

Examiners moved beyond the model itself. They now ask for documented lineage of the data feeding the model, change-management evidence for the pipelines, and monitoring proof for individual features. Functional infrastructure isn't enough. The pipeline has to be provable.

Isn't dbt lineage already enough?

dbt covers transformation lineage cleanly. It doesn't cover the source side: ingestion connectors, raw landings, schema changes upstream, or the documented controls around those. Examiners read the gap between source and dbt as a control gap.

What did "three material findings" actually look like?

The bank had informal pipeline change management for risk-model inputs, no end-to-end lineage from source to feature, and feature monitoring that covered some inputs but not all. Each gap was traceable to a specific control the examiner could point at.

How realistic is a 120-day remediation?

Aggressive but achievable when scope is contained to the model-feeding pipelines. The bank closed the gaps in three phases: lineage and inventory, change management, then feature monitoring. Each phase was 30–45 days with clear acceptance criteria from the examiner's findings letter.

What did the examiner say at follow-up?

The bank presented a machine-readable lineage export covering source systems, transformation steps, and feature outputs. The examiner described it as "a model approach for pipeline provenance." Follow-up returned zero material findings and one closed observation.

What did this cost, and what's the ROI?

The total remediation investment was $290K, including platform fees and internal time. Year-one revenue from preserved product expansion was $4.2M, producing roughly 14:1 ROI. The largest avoided cost was the regulatory hold on a new lending product.

How do we prevent the same findings on the next exam?

Lineage and feature monitoring stay live as production controls, not exam artifacts. The bank now reports pipeline reliability and lineage coverage to its audit committee quarterly, which means the next exam reviews evidence the team already produces.

What's the difference between a material weakness and a significant deficiency?

A significant deficiency is a control gap regulators expect you to fix. A material weakness suggests the gap could allow material misstatement, and it triggers heavier scrutiny, public disclosure for SOX-regulated firms, and potential MRA or MRIA action. Cost differences run into seven figures.

How does my team start?

Logiciel's Audit Readiness Gap Review runs an examiner-style review against your existing lineage, monitoring, and change management. The output is a prioritized findings list, mapped to the controls each one violates and the work needed to close each gap.

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Next step

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Talk through how this applies to your roadmap with our engineering leads - a working session, not a sales pitch.

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