Enforceable AI Governance That Scales

Automation & Orchestration

ModelOp automates the AI lifecycle with policy-driven workflows that ensure every AI solution—ML, GenAI, Agentic, internal, or third-party—follows the right process from intake through retirement. By mapping controls to internal policies and laws, regulations, and rules; orchestrating cross-functional reviews and approvals; and generating audit-ready documentation automatically, ModelOp helps responsible AI leaders accelerate time-to-production while maintaining continuous compliance and trust.

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Acceleration & enforcement

Key Capabilities

Map controls to processes, frameworks, & regulations

ModelOp automatically aligns each AI use case with the right controls based on your internal policies and global regulations like the EU AI Act, NIST AI RMF, OCC SR 11-7, ISO 42001, HIPAA, and GDPR. This ensures every AI system is governed consistently, with the right requirements applied based on risk tier, geography, model type, and whether the system is LLM-based, MCP-enabled, or Agentic.

Automate policy compliance & enforcement

Enforce your governance rules automatically with risk-based workflows that validate controls, trigger required reviews, and block non-compliant actions. ModelOp ensures policies are applied consistently—across geographies, business units, and technologies—so you can deploy AI faster without sacrificing safety or accountability.   

For Agentic systems, ModelOp adds inline protections to detect and immediately block prompt injection attempts, PII leakage, unsafe tool use, or misaligned agent behavior—ensuring all AI activity remains safe, secure, and compliant. Network-level blocking prevents any unapproved agent traffic, ensuring all AI activity is traceable, governed, and fiscally accountable.

Speed up reviews & tests with approval workflows

Accelerate cross-functional reviews by orchestrating Security, Privacy, Data, IT, Architecture, Business, Legal, Risk, Compliance, Committee, and CoE approvals in a single, traceable workflow. Automated testing, alerts, and SLA tracking reduce bottlenecks—cutting review cycles from weeks to days while improving rigor and auditability across all model types, including LLMs and MCP/A2A agents.

Generate model cards, risk documentation, & alerts

ModelOp automatically creates standardized model cards, risk assessments, validation summaries, test results, and audit artifacts, reducing manual documentation work by orders of magnitude. Real-time notifications keep owners and reviewers informed of required actions, upcoming deadlines, and compliance gaps.

Streamline AI risk management across teams & locations

With risk-tiering, control mapping, evidence collection, and lifecycle orchestration in one platform, ModelOp unifies AI governance across business units and regions. Every stakeholder—AI owners, control partners, IT, and governance committees—works from the same source of truth, ensuring consistent and repeatable risk management everywhere AI is deployed.

modelop introductory demo

See How ModelOp Enforces Compliance And Gets AI Into Production, Faster

This 5-minute introductory demo shows how ModelOp automates the entire AI lifecycle with enforceable, policy-driven workflows that bring speed, consistency, and compliance to every AI use case across your enterprise.