AI Compliance Without The Guesswork

AI compliance  is the discipline of ensuring that AI systems are used responsibly, lawfully, and transparently across an organization. It involves understanding which regulations apply, implementing the right controls, and being able to prove—at any moment—that your AI is behaving as intended.

This isn’t just about risk mitigation. It’s about trust.

Effective AI compliance aligns model development and deployment with internal policy, external regulation, and public expectation. That includes things like tracking which models are in use, running risk assessments, documenting decisions, testing for bias, and being ready for audits.

It’s the difference between deploying AI—and deploying it responsibly.

“AI compliance is no longer an abstract concept. It’s an operational necessity. Organizations need to know which systems are in play, what risks they carry, and how to prove they’re in control. That’s what AI compliance delivers—clarity, accountability, and the foundation for trust,” says Guru Sethupathy, CEO of FairNow and former SVP at Capital One

AI regulatory compliance software helps organizations ensure their AI systems adhere to relevant laws, standards, and ethical guidelines. Key capabilities include:

1) Real-time Regulatory Tracking: Stay informed as new laws emerge. FairNow updates compliance controls and sends alerts when requirements change.

2) Intelligent Risk Assessments: Many regulations follow a risk-based approach. FairNow provides structured risk assessments to support evidence and documentation for audits.

3) Reporting and Documentation Automation: Automate the generation of required evidence for internal governance, audits, and regulatory submissions.

FairNow’s AI toolkit instantly alerts users to compliance changes, protecting the organization’s reputation and minimizing risk exposure.

AI compliance tools help you respond quickly to legal shifts and stay ahead of emerging requirements.

As organizational AI usage grows and regulatory compliance needs expand, organizations will lean on platforms like FairNow to track their usage to global regulatory requirements.

The regulatory requirements that apply to your business will vary based on a few key factors:

Geography: Different regions have varying regulations and standards for AI. For example, the European Union has stringent requirements under the GDPR and the upcoming AI Act, while the United States has a combination of state and federal regulations.

To complicate matters further, many regulations apply not only to organizations based in a particular region but also to those whose technology is used there.

Role: Compliance requirements can also differ based on your role (for example, are you the developer or the deployer of the AI system?) Developers must focus on creating AI that adheres to ethical guidelines, transparency, and bias mitigation from the outset. Conversely, deployers must ensure that the AI systems they implement are compliant with regulatory standards, properly governed, and used ethically.

Use case: The intended application of the AI technology influences the regulatory scrutiny it will face. High-stakes applications, such as resume screening or loan approvals, require more rigorous compliance measures than lower-stakes applications, like internal chatbots or recommendation engines.

Data/technology: The type of data being used and the type of AI technology deployed are crucial factors. Different types of data (e.g., personal, financial, medical) come with specific regulatory requirements. Similarly, the nature of the AI technology, such as generative AI (GenAI) or regression models, will determine the compliance framework. For instance, generative AI might require more stringent controls to prevent misuse or ethical breaches, while regression models may focus more on accuracy and fairness.

All these factors can lead to wildly different regulatory compliance needs. Two businesses in the same building, creating similar technology, may face vastly different regulatory requirements.

Are you unsure how to build a strategy for these impending regulations? Let FairNow help you identify exactly which of your models are in scope for which regulations.

Receive alerts as AI compliance requirements change and shift to ensure you are always ahead current and emerging regulations and standards including:

• EU AI Act
• ISO/IEC 42001
• NIST AI RMF
• Colorado SB 205
• NYC Local Law 144
• And 20+ More 

When investing in AI regulatory compliance software, organizations must consider geography, role, use cases, and data/technology. The need for AI governance software will differ from organization to organization.

Consider these three examples of varying AI risk compliance needs:

• AI-Enabled Candidate Sourcing Tool: Resume-screening startups often need AI compliance software for bias detection, audit trails, and regulatory reports due to their low risk tolerance and stringent employment laws.
• Enterprise Financial Services: Enterprises in finance face regional complexity and high-risk exposure like lending and loan approval, and are in need of AI compliance software to manage complexity, ensure regulatory adherence, and maintain centralization across regions.
• Small Marketing Agency: Small marketing teams using ChatGPT may not need software—yet. Due to low risk and minimal regulatory exposure, it can handle compliance manually, so it likely does not need specialized software for now.*

*Note: As companies and regulations evolve, organizations must revisit their regulatory compliance strategy to remain compliant.

FairNow’s AI regulatory compliance tools can be customized and updated based on industry, geography, and risk tolerance.

To minimize regulatory risk, protect their reputation, and reduce the cost of compliance. As a result, automation and real-time alerts help teams stay focused on innovation—without falling behind.

FairNow tracks 25+ global AI regulations and voluntary standards, including:

• EU AI Act
• ISO/IEC 42001
• NIST AI RMF
• Colorado SB 205
• NYC Local Law 144
• And 20+ More 

We keep it updated so you don’t have to.

Pricing depends on your size, system complexity, and specific compliance needs. FairNow offers scalable plans—contact us for a tailored quote.

FairNow provides AI compliance tools embedded within its AI governance platform. Clients gain access to centralized frameworks, documentation workflows, and real-time compliance monitoring.

FairNow is built for cross-functional use. Compliance leaders use it to oversee governance. Developers and data scientists use it to test and track models. Executives use it to monitor risk and ensure alignment with policy and regulation.

 Yes. FairNow is designed to integrate with your existing model registry, risk management tools, and governance processes. We can ingest model metadata, compliance documentation, and risk scores to ensure alignment across your workflows.

Most organizations can begin using FairNow in days—not months. Our onboarding process includes guided configuration and prebuilt templates to help you operationalize quickly based on your current maturity.