For regulated institutions

A supervisor is already asking. The evidence should already be standing.

Banking, insurance and financial services — where the proof has a deadline, a named recipient, and a price for being wrong.

How it works today

Regulatory evidence is still produced by hand.

Assembled for the deadline, quality-checked in part, and rarely provable once the issue has passed.

By hand

Spreadsheets, compiled at the deadline.

Lineage in a slide

A PowerPoint diagram, not a live trace.

Partial data quality

Most required tables skipped, on cost.

Doesn’t reconcile

Consolidated figures don’t match the source.

Siloed teams

Governance and risk meet only at the deadline.

No proof of the fix

Stewardship leaves no evidence it closed.

The regulator’s review is now AI-assisted. Modern analytics reconcile submissions to source and surface what sampling missed. None of the above was built to survive it.
Regulatory readiness & continuous assurance

Turn regulatory expectations into measurable, auditable action.

FluenBox connects regulatory requirements with the data products, critical data elements, processes, controls, owners, evidence, and operational events that demonstrate how an organization is meeting those expectations.

Regulatory Frameworks

Assess data capabilities against applicable regulatory and industry frameworks.

Custom Regulatory Requirements

Translate internal policies, regulatory obligations, and supervisory expectations into measurable requirements.

Critical Data Elements

Identify, govern, monitor, and evidence the data elements that are critical to business and regulatory processes.

Process Auditability

Connect processes, controls, data products, evidence, and operational events to create a traceable audit path.

Control & Risk Mapping

Connect regulatory expectations to controls, data products, processes, owners, and evidence.

Continuous Compliance Evidence

Collect evidence continuously rather than relying solely on point-in-time assessments.

Data Maturity Measurement

Use a consistent maturity score to identify gaps, prioritize improvements, and track progress.

Certification & Assurance

Establish a structured progression from foundational certification to independent-audit readiness.

Executive & Board Insights

Provide strategic views of data maturity, regulatory exposure, critical gaps, and remediation priorities.

Audit-Ready Traceability

Provide a clear chain from requirement → control → owner → data → process → evidence → outcome.

Designed for regulatory expectations across
Data Governance Data Quality Data Management Operational Resilience Risk Management AI Governance Privacy Regulatory Reporting Model Governance Critical Data
Best for organizations that need to demonstrate not only that governance policies exist, but that requirements are implemented, measured, evidenced, and continuously monitored.
Beyond the framework itself

Two things a framework library does not do on its own.

Supervisory expectations, not just the statute

What your local and regional supervisors now accept as an answer sits alongside the statute text — and the obligations that apply to a given product are resolved from the jurisdictions it actually operates in, rather than applied uniformly.

Cross-regime conflicts, surfaced

Where two regimes disagree, the conflict is raised with resolution guidance attached, rather than being resolved in silence in favour of whichever rule ran last. Only real, documented conflicts — we do not invent them.

Your own policy library carries the same weight as a statutory obligation — and every rule needs a named human approval before it can run.
The wider committee

A regulated purchase is not decided by the data team alone.

Three functions will be in the room, and each one needs a different answer before this can proceed.

Model risk management

The scoring engine is deterministic and independently reproducible. The model is confined to cited narration over a closed evidence set, with a verification pass afterwards. Zero retention, and never trained on your data.

The five properties MRM will test

The chief risk officer

The enforcement record is theirs to own. Continuous per-product measurement turns an annual control into something that can see a misclassification the quarter it starts, not fifteen quarters later.

Why duration is the argument

Second line and internal audit

Operational risk reads the same record the governance team owns and raises its own findings against it. Evidence is standing rather than assembled, so audit preparation stops being a project.

Evidence & the audit trail

Where does this sit next to my GRC platform and my reporting chain? Alongside them. Your GRC tool holds the control framework and the risk register; your reporting chain produces the submission. FluenBox evidences that the data underneath both is measured, governed and current. The full fit
Before the security questionnaire arrives

Isolation, residency and deployment, settled up front.

Isolation by construction

Each client is separated at the core, not by application logic. It cannot be retrofitted and it cannot be bypassed.

Data residency

Runs in your chosen region, with one cloud account per workspace so separation is structural rather than a setting.

Full audit logging

Every action, approval and change recorded and exportable.

Air-gapped if required

Fully self-contained with no internet at run time — the regulatory knowledge it reasons over is stored locally.

How subscriptions are isolated from each other

Find out where you stand before a supervisor does.

Thirty days, a real slice of your estate, success criteria agreed up front — and you keep the evidence pack either way.