Operlity gives organizations a structured platform to govern their AI landscape end to end — from inventorying AI models and assessing their risks, to managing AI policies and demonstrating compliance with emerging AI regulations — so you can innovate with AI confidently and responsibly.
but most organizations are deploying AI faster than they can govern it:
AI models and systems deployed across the organization with no centralized register of what exists, who owns it, what data it uses, or what decisions it influences
AI systems introduced into critical business processes without structured risk assessment, leaving organizations exposed to model bias, data privacy violations, and regulatory non-compliance
existing governance policies not updated to address AI-specific risks, leaving employees and teams without clear guidance on responsible AI use
AI regulations like the EU AI Act are introducing new compliance obligations that most organizations are not yet structured to meet
no clear ownership or accountability for AI systems and their outcomes, making it impossible to respond effectively when something goes wrong
Operlity brings the same rigor and structure of enterprise GRC to the governance of AI — giving every stakeholder the tools to manage AI risk, policy, and compliance as a disciplined, auditable program.
maintain a centralized register of every AI model and system in use across the organization, with structured profiles covering purpose, owner, data inputs, decision scope, and deployment context
conduct structured risk assessments for AI models covering model risk, data privacy risk, bias and fairness risk, and operational risk — with scoring, treatment plans, and lifecycle tracking
maintain a dedicated AI risk register linked to specific models and systems, with full risk lifecycle management from identification through treatment and closure
create, publish, and track acknowledgement of AI-specific policies, standards, and usage guidelines — governing how AI is developed, deployed, and used across the organization
track compliance against emerging AI regulatory frameworks and internal AI governance standards, with assessments, gap analysis, and compliance scoring
govern AI models through their entire lifecycle — from development and deployment through monitoring, retraining, and retirement
| Feature | Description |
|---|---|
| AI Model Inventory | Centralized register of all AI models and systems with ownership, data inputs, decision scope, and risk classification |
| AI Risk Assessment | Structured assessments covering model risk, data privacy, bias, fairness, and operational risk |
| AI Risk Register | Dedicated risk register linked to specific AI models with full lifecycle tracking |
| AI Policy Management | Create, publish, and track acknowledgement of AI-specific policies and usage guidelines |
| AI Compliance Tracking | Track compliance against AI regulatory frameworks with assessments, gap analysis, and scoring |
| AI Lifecycle Management | Govern AI models from development through deployment, monitoring, and retirement |
EU AI Act ISO 42001 NIST AI RMF GDPR DPDPA ISO 27001 Operlity maps your AI governance program to the emerging regulatory frameworks that are reshaping how organizations are expected to develop, deploy, and manage AI — so you stay ahead of compliance obligations as the regulatory landscape evolves.
native AI governance — Operlity brings the proven structure of enterprise GRC — risk registers, assessments, policies, compliance tracking — to AI governance, so your team doesn't need to build a new program from scratch
you cannot govern what you don't know exists; Operlity starts with a structured AI inventory so your governance program is grounded in your actual AI landscape
with AI regulations emerging globally, Operlity's framework library keeps your compliance program current as new obligations take effect