Make model governance part of everyday banking operations
Cicrim helps institutions connect model inventory, risk tiering, validation, approvals, change control, monitoring, issues, documentation, and evidence across traditional analytics and AI.
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AI Compliance Solutions
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AI Observability
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Regulatory Compliance
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Fraud Detection
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Financial Services
Turn the model policy into an operating system
Policies often describe sound model-risk principles but leave teams to assemble the inventory, evidence, review gates, monitoring, and issue workflows manually. That gap becomes harder to manage as institutions use vendor models, machine learning, generative AI, decision engines, and analytics embedded in business applications.
Cicrim helps model owners, users, validators, risk teams, compliance, audit, technology, and business leadership define how those responsibilities work in practice. The program is designed to preserve independent challenge while giving accountable teams a usable path from intake through retirement.
Govern what changes risk
Inventory, scope, and tiering
Define what qualifies as a model, assign accountable owners and users, document purpose and limitations, and tier risk consistently.
Development and validation
Preserve data, assumptions, methodology, performance, limitations, testing, independent challenge, findings, and approval conditions.
Change and use governance
Control versions, material changes, overlays, thresholds, overrides, vendor releases, access, dependencies, and use outside approved scope.
Monitoring and issue management
Track performance, stability, drift, fairness, data quality, exceptions, incidents, findings, remediation, escalation, and retirement.
Connect governance requirements to practical controls
AI-Powered Decisioning
Build explainability, policy constraints, human review, monitoring, and evidence into consequential banking decisions.
Fair-Lending Analytics
Evaluate disparities, explanations, outcomes, overrides, monitoring thresholds, and corrective action reproducibly.
SR 11-7 Model Governance
Translate model-risk expectations into inventory, validation, monitoring, documentation, and accountable use.
Responsible AI Frameworks for Banks
Connect principles to ownership, lifecycle gates, decision rights, controls, traceability, testing, and evidence.
Managing Model Risk & Internal Controls
Coordinate model governance with internal controls, evidence ownership, testing, issues, and audit readiness.
Design the program around repeatable proof
Cicrim helps define the artifacts, owners, systems, review cadence, escalation rules, and reporting needed to keep governance current between annual reviews and examinations.