ModelSight - AI & Model Governance

One inventory for every model - including the autonomous ones.

ModelSight unifies traditional model risk management with Agentic AI governance. The platform's foundation is the System of Models - a complete map of every model, every use, and every dependency in your enterprise. Built on top: lifecycle workflows, automated tier classification, SR 11-7-aligned dashboards, and EU AI Act-ready controls.

SR 11-7
Aligned by design
EU AI Act
Risk-tiered controls
Weeks
Not quarters to deploy
100%
Immutable audit
Headline Capability · System of Models

Risk doesn't live in a model. It lives in the system.

A single PD model can power five regulated uses - each with its own owner, tier, and approver. ModelSight is the only MRM platform that maps the full system, not just the parts.

Capabilities

Everything your MRMG team has been asking for.

Built from the regulatory text outward. No bolt-on compliance, no spreadsheets-in-disguise.

Risk Dashboard, SR 11-7 Aligned

Total models, compliance score, in-production exposure, overdue validations, Tier 1 & 2 coverage - at a glance for senior management and examiners.

Configurable Lifecycle Workflows

Onboarding, annual review, new-use approval, and a dedicated flow for Agentic AI - all configurable, all enforcing segregation of duties at every gate.

Automated Tier Classification

Materiality, complexity, reliability, and exposure - scored automatically, with documented MRMG override capability for edge cases.

Agentic AI Governance

Autonomy-level classification, hallucination & data-leakage risk scoring, guardrail configuration, red-team tracking, and sandbox compliance - purpose-built for autonomous systems.

Integrated AI Assistant

"Show me all Tier 1 models with overdue validations." Natural-language access to the inventory, with tools wrapped in role-based permissions and full audit logging.

Immutable Audit Trail

Every action, every decision, every artifact - captured with actor, timestamp, and hash. Examiner-ready, export-anywhere.

Lifecycle

From intake to retirement, one governed lifecycle.

ModelSight tracks every model through five governed stages - with reviewer attestation, SoD enforcement, and tier-appropriate controls at each gate.

01 · INTAKE

Register

Capture purpose, owner, data sources, and proposed tier.

02 · BUILD

Develop

Track artifacts, methodology, development evidence, and testing results.

03 · VALIDATE

Challenge

Independent validation, finding tracking, remediation, and rating.

04 · PRODUCTION

Monitor

Performance monitoring, drift alerts, overlay governance, incident logs.

05 · RETIRE

Decommission

Retirement workflow, archive of artifacts, successor linkage, final sign-off.

Agentic AI

Governance for the models that act, not just predict.

LLMs, autonomous agents, and tool-using systems don't fit a 2011 MRM framework. ModelSight ships dedicated controls for the risks your legacy tools can't even describe.

Autonomy Level

From advisory to agentic

Classify L0-L4 autonomy and apply tier-appropriate human-in-the-loop controls.

Guardrails

Configured, tested, versioned

Input filters, output validators, tool-use allowlists, and PII redaction with evidence.

Red-Teaming

Recorded, not just run

Prompt-injection, jailbreak, data-leakage suites with reproducible evidence packs.

Sandbox Compliance

Pilot with a paper trail

Time-boxed experiments with scope, escalation criteria, and MRMG sign-off for graduation.

Regulatory Coverage

Mapped to the frameworks your examiners read.

SR 11-7
Model Risk Management
OCC 2011-12
Model Risk Guidance
SS1/23
PRA Model Risk
EU AI Act
Risk-tiered obligations
NIST AI RMF
Govern · Map · Measure · Manage
ISO 42001
AI Management System
CECL / IFRS 9
ECL model governance
Stress Testing
Regulatory & internal attestation

See your model inventory, governed in weeks.

Bring us your current model list - spreadsheet or SharePoint, it doesn't matter. We'll show you exactly how it runs in ModelSight.

Book a ModelSight Walkthrough