Make trusted data an operating capability, not a committee promise
Cicrim helps banks connect data ownership, lineage, definitions, quality controls, access, issues, change, evidence, and business outcomes across products, risk, compliance, finance, and AI.
Connect accountable data to the decisions it supports
Bank data crosses cores, digital channels, loan systems, payment platforms, vendors, warehouses, reports, models, and manual processes. A catalog alone cannot ensure that the balance, customer, risk attribute, decision input, or regulatory field used downstream is complete, timely, authorized, and fit for purpose.
Cicrim helps institutions define data products around business use, assign accountable owners, document lineage and critical elements, implement measurable controls, and route exceptions into issue and change processes. Evidence is produced as the control operates.
Build controls around critical data products
Use, ownership, and definitions
Identify material decisions, reports, models, and processes; define the data product and critical elements; assign accountable business, data, and technology roles; and document fitness criteria.
Lineage and permitted movement
Trace sources, transformations, interfaces, calculations, manual steps, destinations, access, retention, and third parties at a depth proportional to operational and regulatory risk.
Quality and reconciliation controls
Measure completeness, validity, accuracy, consistency, timeliness, uniqueness, and integrity; define thresholds, sampling, reconciliation, ownership, evidence, escalation, and compensating controls.
Issues, change, and monitoring
Route exceptions by materiality, assess downstream impact, remediate root causes, verify correction, approve change, monitor recurrence, and report risk and service outcomes to governing forums.
Make stewardship a defined job with decision rights
Cicrim helps establish the forums, thresholds, escalation paths, service expectations, evidence, and dashboards that allow owners and stewards to act. Governance focuses on unresolved business impact, risk concentration, cross-domain dependencies, change, and control effectiveness rather than status reporting alone.
Measures include critical-element coverage, control execution, defect recurrence, issue age, downstream impact, manual adjustments, unresolved lineage, access exceptions, data-product service levels, and improvement in the decisions the data supports.
Connect data control to architecture, monitoring, and compliance
Enterprise AI Stack Design
Design governed data, model, integration, security, observability, and evidence foundations.
AI Observability
Monitor data quality, drift, model behavior, control performance, issues, and response.
Core Modernization
Define data contracts, reconciliation, migration evidence, ownership, and controlled change.
AI Compliance Solutions
Connect responsible-AI policy to data, model, control, monitoring, and evidence requirements.
Regulatory Compliance
Connect obligations to data requirements, controls, testing, evidence, issues, and reporting.
Start with one material decision, report, or data product
Cicrim can baseline ownership, definitions, lineage, quality, access, issues, controls, evidence, and downstream impact, then establish a repeatable operating pattern.