Achieve AI regulatory compliance at scale
Continuously align your AI products with evolving regulations—while staying audit-ready at all times.
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AI regulation is accelerating, compliance is falling behind
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From the EU AI Act to global frameworks, organizations must navigate overlapping and constantly changing requirements.
A fast-evolving and fragmented regulatory landscape
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Legal obligations are difficult to translate into clear, actionable steps for business and technical teams.
A gap between regulation and execution
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Teams struggle to define what evidence is required, generate it consistently, and keep it up to date over time.
Audit-ready evidence is hard to produce and maintain
From regulatory complexity to operational clarity
Naaia transforms regulatory requirements into structured, actionable workflows.
By translating obligations into concrete actions, the platform enables teams to understand exactly what needs to be done—while ensuring that every requirement is systematically addressed and traceable.
Built-in, audit-ready evidence
Naaia embeds evidence generation at the core of compliance execution.
Each action is documented through structured templates and enriched by AI-powered justification agents—ensuring that all outputs are consistent, explainable, and audit-ready.
Evidence is continuously updated as your systems and regulations evolve, eliminating last-minute audit preparation.
Continuously aligned with evolving regulations
Naaia dynamically maps your AI assets against applicable regulations across jurisdictions.
As frameworks evolve, compliance requirements and associated evidence are automatically updated—ensuring your organization remains aligned and defensible at all times.
With Naaia
Be audit-ready at any moment
Maintain continuously updated, defensible evidence without last-minute preparation.
Reduce compliance overhead
Minimize manual effort through automation and cross-framework alignment.
Align teams on a single compliance framework
Create a shared, structured approach across legal, risk, and technical stakeholders.
Trusted by those who build with AI
Naaia enabled us to move toward a more value-driven approach to AI governance. Beyond compliance, the platform helps us prioritize AI initiatives based on business impact, risk, and strategic value.
Colas naturally selected Naaia for its intuitive user experience, as well as its educational and thought-leadership approach to simplifying complex AI topics. A truly collaborative framework was established throughout the project, driving stronger team engagement, seamless adoption, and operational efficiency.
We chose Naaia for its clear framework to inventory and govern our AI initiatives. We particularly appreciate the combination of its user-friendly tools, which make compliance more accessible, and the supportive guidance from their team.
Naaia helped us operationalize AI Act readiness across our regional authority’s services with a clear and trusted governance framework. The platform improved collaboration between departments and gave us the visibility needed to scale AI responsibly.
Learn about other use cases
Frequently asked questions
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What is AI regulatory compliance?
AI regulatory compliance is the process of ensuring that an organization’s AI systems and governance practices meet the requirements of all applicable laws, regulations, and standards. In 2026, this encompasses a complex and growing landscape: the EU AI Act (applying to organizations operating in or selling to the EU), the NIST AI Risk Management Framework (widely adopted for US federal and critical infrastructure contexts), ISO/IEC 42001 (the international AI management system standard), and a range of national and sub-national laws covering specific AI applications — including California transparency laws, Texas TRAIGA, South Korea’s AI Basic Act, and China’s AI regulations. Effective AI regulatory compliance requires a unified governance program capable of managing multiple frameworks simultaneously.
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How can organizations build a scalable AI regulatory compliance program?
Building a scalable AI regulatory compliance program requires five foundational elements:
(1) A complete AI system inventory that captures every system in scope, updated continuously;
(2) A regulatory mapping engine that links each system to its applicable obligations across all relevant frameworks;
(3) Cross-framework compliance workflows that eliminate duplicated documentation efforts;
(4) Automated evidence collection that creates audit-ready records without manual intervention;
(5) A monitoring system that flags regulatory changes and assesses their impact on existing governance documentation.
Scalability is critical because AI portfolios grow and regulations multiply — programs designed for manual management become unworkable as complexity increases.
Naaia transforms AI regulatory requirements into clear, actionable workflows that teams can execute collaboratively. The platform helps organizations operationalize compliance, generate evidence, and maintain continuous alignment with evolving regulations. -
What is audit-ready AI compliance evidence?
Audit-ready AI compliance evidence is documentation that can be presented to a regulatory authority, certification body, or internal auditor to demonstrate that an AI system was developed, deployed, and operated in accordance with applicable requirements — without requiring additional compilation or reconstruction. The key characteristics of audit-ready evidence are: completeness (all required documentation exists and is current), accessibility (evidence can be retrieved promptly by non-technical staff), traceability (each piece of evidence is linked to the specific regulatory requirement it satisfies), and integrity (evidence has not been altered after the fact). The EU AI Act, ISO/IEC 42001, and NIST AI RMF all place significant weight on an organization’s ability to produce audit-ready evidence on request.
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How can organizations reduce the cost and operational overhead of AI compliance programs?
AI compliance costs are driven primarily by three factors: manual documentation effort, duplication across multiple regulatory frameworks, and reactive remediation when gaps are found late in the process. Organizations reduce compliance overhead by: automating evidence collection and documentation workflows, adopting a cross-framework compliance approach that generates documentation satisfying multiple regulations simultaneously, integrating compliance checks into the AI development lifecycle (shifting governance left rather than retrofitting it after deployment), and investing in a governance platform that provides real-time visibility across the entire AI portfolio. Organizations that build these efficiencies typically reduce compliance-related labor costs by 50–70% compared to manual, spreadsheet-based approaches.
Naaia minimizes manual compliance work through automation, centralized workflows, and cross-framework alignment. This allows organizations to streamline operations and reduce duplication across compliance initiatives.